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A misalignment can often be found between the spatial evolution of traditional villages and the needs of villagers under the rapid urbanization. Therefore, it is pressing on the structural characteristics of public spaces, from the perspective of material space with social demands and optimization. Current research has focused mainly on the single types or levels of public space. It is still lacking on the overall space or its users, particularly for the update and optimization of traditional village public spaces. This study aims to explore the relationship between the structural characteristics of public spaces in the traditional villages in the western Beijing region and residents' spatial use preferences. Nanjiao Village in Beijing was used as a case. Social Network Analysis (SNA) and Space Syntax were coupled to construct both an objective material space network and axial model, as well as a subjective villagers' behavioral network model. A multi-level analysis was then conducted on "village-streets-nodes" from a "point-line-plane" spatial perspective. The diagrammatic languages of SNA and Space Syntax were also integrated to visualize the structural characteristics of village public spaces, in order to explore the interaction between public space nodes and alley spaces. The results indicated: 1) The spatial form of Nanjiao Village was constrained by the mountains on both sides of the river valley, thus resulting in a band-like spatial structure with a main axis along North Street and a secondary axis along the ancient street. The central aggregation was also characterized for the peripheral dispersion and evenly distributed internal streets. Public space nodes were concentrated around North Street, the ancient street, and the historical cultural area that represented by the Niangniang Temple. A spatial network was formed to center on the village history and culture with major traffic routes as the axes. Similar settlement forms were widely distributed in the traditional valley villages with the same Niangniang Temple belief culture in western Beijing. 2) The intelligibility of Nanjiao Village was 0.44661. The density of villager behavioral network was 0.076, which was a decrease, compared with the material space network of 0.1076. The public space nodes were failed to fully utilize, indicating the lower spatial connectivity of streets and lanes and the continuity of interfaces in Nanjiao Village. Some spatial nodes were also failed to connect with the surrounding environment, which was then neglected in the villagers' daily activities. 3) The distribution of public space nodes in Nanjiao Village was centered around the main street and historical cultural facilities, indicating a factional pattern of public spaces. Simulation analysis and field research reveal that the nodes within each faction were closely connected with the strong resilience and high usage rates among villagers. The spatial network was weak outside the factions, with the ineffective connections between nodes. There were the insufficient intermediary nodes and functional facilities that weaken villagers' behavioral perception. 4) A clear tendency was found in the selection of activity venues by villagers. Specifically, public spaces were integrated organically with living spaces, indicating the high social, cultural attributes, and historical significance. More daily social activities were attracted than those along the main thoroughfare, indicating the profound influence of historical and cultural customs in western Beijing on villagers' behavioral preferences. Finally, the targeted optimization of "connection, node enhancement, and empowerment" was proposed for the precise and sustainable development of public spaces in traditional villages. [ABSTRACT FROM AUTHOR]

The evolution and dynamics of regional cooperation are hot topics of concern for economic geographers. Regional cooperation has gradually evolved into a network structure based on "multi-dimensional connection," covering many fields such as economy, innovation, transportation, and ecology. However, most of the current research focuses on a specific cooperation field, mainly based on regional intergovernmental agreements, analyzing the structure and characteristics of regional cooperation networks from the perspective of institutional connections. This lacks a comprehensive measurement index system for regional cooperation levels using multidimensional connection data, and the dynamic factors and mechanisms of regional cooperation networks are unknown. Therefore, based on the relational perspective, this study constructs a comprehensive measurement index system of the regional cooperation level from the aspects of economy, innovation, transportation, and ecology and discusses the evolution characteristics and dynamic mechanisms of regional cooperation networks in the Yangtze River Delta at different stages using social networks and QAP analysis methods. The main findings are as follows. First, the regional cooperation network in the Yangtze River Delta is relatively close in general and has undergone a remarkable evolution process from loose to tight, from single center to multi-center, and from inefficient to efficient. The average path length of the regional cooperation network in the Yangtze River Delta has been declining, indicating that the regional cooperation network in the Yangtze River Delta presents the characteristics of "small world." Secondly, the main body of the Yangtze River Delta regional cooperation network shows obvious "multi-center, flat" characteristics, forming a spatial structure supported by the "golden triangle" of Nanjing-Shanghai-Hangzhou and gradually spreading to neighboring cities. Core cities such as Shanghai, Nanjing, and Suzhou played important roles in different stages. During the initial stage of collaboration, Shanghai served as the central hub, with Suzhou and Nanjing acting as key nodes. During the phase of rapid intensification, the network evolved into a dual-core system centered on Shanghai and Nanjing. During the high-quality development phase, a multi-center interactive pattern emerged, involving Shanghai, Suzhou, Nanjing, and Hangzhou. Additionally, geographical and institutional proximity significantly influence regional cooperation in the Yangtze River Delta. The changes in the economic development level based on cognitive proximity and cooperation reflect the dynamic adjustment of the economic and industrial structure in the region, which has stage differences. During the early stages of regional cooperation, cognitive proximity significantly promoted regional cooperation. Subsequently, the role of cognitive proximity decreased, and with the deepening of cooperation during a period of high-quality integration, cognitive proximity played a significant role. In addition, government support played a significant role in promoting regional cooperation during the early stages but its importance declined as cooperation deepened. Compared with existing research, this study comprehensively constructs a measurement system of regional cooperation in the Yangtze River Delta from four dimensions: economy, innovation, transportation, and ecology, which is an expansion of the single measurement system of existing research and more comprehensively reflects the characteristics of regional cooperation in the region. Through this study, we hope to overcome the limitations of studying one-dimensional cooperation and further enrich and improve the relevant theoretical system of regional cooperation. Through this study, we hope to overcome the limitations of studying one-dimensional cooperation and further enrich and improve the relevant theoretical system of regional cooperation. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Academic Library & Information Science is the property of Anhui University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper systematically measures the rural civilization construction in 30 provinces of China (excluding such provinces as Hong Kong, Macao, Taiwan, and Xizang) from 2011 to 2020. Employing a combination of entropy weight method, kernel density estimation, Theil index, and social network analysis, the study investigates the evolution trend and spatial association of rural civilization construction in China. Findings show that the construction level of rural civilization has exhibited a fluctuating upward trend, with significant regional disparities. Eastern region in China generally surpasses the central and western regions in terms of rural civilization construction, although the central and western regions have witnessed a larger increase in the construction index compared to the east region, with a narrowing gap in rural civilization construction among the east, central, and western regions, while variations in the overall construction level, traditional virtues, farmer education attainment, and accessibility of cultural entertainment facilities are primarily driven by differences within each region. From the perspective of spatial association, the overall spatial density and total number of spatial connections among provinces have shown a fluctuating upward trend. Rural civilization construction is generally better developed in the eastern region, demonstrating a trend of radiating towards the western and central regions. Based on these findings, the paper offers the following implications: (1) promoting the inheritance of traditional virtues through awareness-raising and behavioral norms; (2) increasing education and training opportunities and talent input to ensure human resource development in rural areas; (3) enriching cultural and entertainment activities in rural areas through cultural festivals, farmers'markets, etc.; (4) improving accessibility to cultural entertainment facilities in rural areas by constructing infrastructure for transportation and information communication; (5) enhancing rural cultural entertainment consumption levels through the development of cultural tourism and creative industries; (6) strengthening regional connections between eastern, central, and western regions to facilitate the diffusion and spillover of traditional excellent cultures. [ABSTRACT FROM AUTHOR]

Copyright of Resources Development & Market is the property of Sichuan Resource Development & Market Magazine Co., Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Publishing Journal is the property of Wuhan University, School of Information Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Construction Economy is the property of Construction Economy Editorial Organization and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Based on multivariate data such as the Baidu index, mileage data, and co-authored paper data, a multi-city network was constructed, then social network analysis was used to explore the evolution characteristics of multi-city network structure in the middle reaches of the Yangtze River from 2011 to 2019, and the QAP model was used to analyze its influencing factors. The results show that: (1) The density of multiple networks in the middle reaches of the Yangtze River from 2011 to 2019 is less than 0. 5, but the relationship between cities has gradually becoming closer. In addition, the "small world" characteristisc of each network is obvious, and the hierarchical structure of urban nodes conforms to the rank-size distribution characteristics. (2) The diversity of multiple network structures is obvious, the core skeleton of the information network has not changed significantly, while the change of the economic network skeleton is obvious, the traffic network gradually presents an H-shaped structure, and the innovation network tends to be flat and complex. (3) The centrality of city nodes in the multi-city network has obvious differences. Wuhan, Changsha, and Nanchang are stable network hubs, and the urban agglomeration in the middle reaches of the Yangtze River forms four condensed subgroups, which are mainly related within subgroups. (4) There are strong similarities and differences among multiple networks. Spatial proximity, administrative relationship, level of economic development, and intensity of policy intervention have significant effects on the structure of multiple networks to different degrees. [ABSTRACT FROM AUTHOR]

As the global climate warms, the sea ice in the Arctic region is rapidly melting at an unprecedented and unpredictable rate. The economic, resource and strategic value of this region is becoming more and more prominent, and more and more countries are turning their attention to the Arctic, geopolitical issues in the Arctic continue to heat up. In this context, based on the GDELT database, this article uses methods such as mathematical statistics, stratigraphic constrained clustering, and social networks to study the geographic relationship between countries in the global Arctic-related incidents from the second quarter of 2013 to the third quarter of 2022. The results show that: ① During the study period, the cooperation-conflict events among countries in the global "Arctic-related" incidents can be divided into two stages. Compared to the first phase, the second phase saw a decrease in the attention of countries to the Arctic, where cooperation still dominates ②The global network of geopolitical relations between countries involved in Arctic-related events presents a "core-periphery" structure centered on the Arctic countries. As China, the United Kingdom and other Arctic Council observer states pay more attention to the Arctic and participate extensively in affairs, their network status has improved; ③The geopolitical relations between countries in the global Arctic-related incidents have shown a good development trend, but Some of these countries have unequal geographical relations with other countries, especially Russia and other countries; ④The economic, resource and strategic value of the Arctic are prominent, the influence of the geopolitical environment, the increasing militarization of the Arctic region, and the concept of environmental protection in the Arctic have potential effects, promote the evolution of geopolitical relations among countries involved in the global "Arctic-related" incidents. [ABSTRACT FROM AUTHOR]

Copyright of Resources Development & Market is the property of Sichuan Resource Development & Market Magazine Co., Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Bulletin of Soil & Water Conservation is the property of Bulletin of Soil & Water Conservation Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Bulletin of Soil & Water Conservation is the property of Bulletin of Soil & Water Conservation Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Railway Science & Engineering is the property of Journal of Railway Science & Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Arid Land Geography is the property of Chinese Academy of Sciences, Xinjiang Institute of Ecology & Geography and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

As traditional geographical distances diminish, new patterns of regional spatial configuration continuously emerge and develop, with the dominance of flow space shaping the new landscape of regional spatial networks. From the viewpoint of passenger flows, and with the help of the social network analysis method, the present paper constructed a comprehensive passenger flow matrix based on passenger frequency data. It analyzed the characteristics of the passenger transport network of the Pearl River Delta Urban Agglomeration from three aspects, namely network nodes, connection flow lines, and the overall network. and then explored its influencing factors. The results showed that: (1) From the point of network nodes, the Pearl River Delta urban agglomeration passenger transportation network shows the characteristics of multiple levels and regional differentiation as a whole, plays a leading role as the first level of Guangzhou. (2) From the point of connection flow lines, passenger flows between cities are led by Guangzhou and Shenzhen, which plays a core leading role in their hinterland. The connection between cities is strong along the axis from northwest to southeast along the Pearl River. (3) From the perspective of the overall network, its development level is relatively high in the Pearl River Delta Urban Agglomeration, and the network centralization degree is relatively high as well. (4) From the perspective of influencing factors, policy and natural factors will have an impact on passenger flow. Through quantitative analysis of economic and social factors, it is found that R&D input, GDP, fixed asset investment and urbanization rate show a positive impact on passenger network, while resident population and foreign direct investment show a negative impact on passenger network. [ABSTRACT FROM AUTHOR]

With the coordinated development of the Beijing-Tianjin-Hebei Region becoming an important national strategy, multi-factor cross-regional flow has formed telecoupling relationships of land use functions. Taking the counties in Beijing-Tianjin-Hebei Region as the research unit, the entropy-weight TOPSIS method was used to measure the production, living and ecological function values of land use, and the social network analysis model was used to explore the land use functions relationship and identify the telecoupling characteristics of land use. The main results are as follows. (1) During 2010-2020, the spatiotemporal differentiation characteristics of land use functions in the studied region are significant. Land use production function declines, showing the characteristics of low northwest and high southeast; living function improves significantly, showing the trend of balanced development of multi-center situation; the fluctuation of ecological function rises, and the "inverted U-shaped" polarization phenomenon is obvious. (2) Production function, living function and ecological function break through the geographical proximity effect, and the telecoupling relationships present the obvious network structure shape, but the overall network structure is relatively loose; the telecoupling networks of land use production function, living function and ecological function have the characteristics of small-world effect and scale-free, and the power structures show obvious "core-periphery" feature. (3) The telecoupling networks of production function, living function and ecological function forms four blocks through spatial clustering: there are five role types as main spillover, main benefit, mediator, two-way spillover and isolate. Therefore, telecoupling effect needs to be taken into account when formulating relevant strategies for land use functions. The Beijing-Tianjin-Hebei Region needs to focus on multi-point linkage and complementary advantages. It should play the leading and regulatory role of core counties in the network pattern, cultivate new growth poles, and ultimately achieve multi-functional synergy of land use. [ABSTRACT FROM AUTHOR]

Taking Guangxi as a case study, this study explored the spatial and temporal evolutionary characteristics of the spatial network structure of tourism economic linkages in Guangxi from 2010-2019 by applying the modified gravity model, social network analysis method, Ucinet software and ArcGIS. The study shows that (1) from 2010 to 2019, the tourism economic linkage degree of various cities in Guangxi was increasing year by year and became closely connected, but the overall regional network structure remained noticeably imbalanced; (2) there are differences in the centrality of the network of various cities in the region, and Nanning-Yulin-Guilin-Liuzhou has become the main linkage channel for the development of tourism economy in Guangxi; (3) there is an obvious core-edge zone stratification in Guangxi, and the density value of tourism economic linkage in the core zone increases year by year, while the improvement in the edge-edge area is relatively small; (4) the spatial distribution of the four cohesive subgroups of tourism economic linkage in Guangxi has deteriorated, owing to the imbalance of the spatial distribution within the subgroups which lead to the poor stability of the overall tourism economic structure. Based on this, a synergistic development model of "tourism core cities - tourism city clusters - tourism economic belt" is proposed to support the high-quality development of tourism in Guangxi. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Hubei Minzu University (Natural Science Edition) is the property of Journal of Hubei Minzu University (Natural Sciences Edition) Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

目的 分析总结当前航空应急文献的研究进展, 预测未来航空应急领域的发展趋势, 为应对灾害、化解风险、 处理事故、保障人民群众生命财产安全提供依据。 方法 在中国知网检索 2011—2023 年主题为应急管理、应急救 援、应急处置或者应急处理的有关航空航天领域的研究文献, 导出原始文献分析数据, 应用文献题录信息分析工具 Sati 3.2 软件输出以关键词为筛选条件的预处理数据。 运用社会网络分析工具 Ucinet 6.2 程序包分析关键词的中心 度、凝聚子群、核心-边缘, 利用文献分析工具 CiteSpace 软件分析关键词的共现时间线图谱。 结果 共获取 527 篇与 航空应急相关的研究文献。 中国的航空应急领域的相关研究大致经历了萌芽期 （2007—2015 年）、 急速增长期 （2015—2020 年）、发展热潮期（2020—2023 年）。 排名前 10 位的高频关键词依次为：应急救援、应急管理、应急管理 部、通用航空、航空应急救援、直升机、突发事件、应急救援体系、无人机、应急测绘。 关键词社会网络分析结果显示 “应急管理”“应急救援”“应急救援队伍”“应急管理部”“应急救援体系”“航空救援”等在航空应急中占有重要地位。 关键词网络密度值 = 0.106 3, 表明社会网络中节点间的联系属于中等紧密程度的网络。 中心度值和特征值均较大 的关键词有应急救援、应急管理、应急管理部、应急救援队伍、应急救援体系等。 关键词凝聚子群分析结果显示 8 个 子群, 归类于 4 个 2 级凝聚子群, 形成了以航空应急能力和通用航空参与各种应急活动及救援等两个方面的研究类 别。 共现时间线图谱显示在 2015 年之后有关航空应急装备以及相应的应急工作的研究大量出现。 结论 应急管理 体系和制度建设是航空应急救援的重心。 当前应急管理、应急管理体系、救援队伍等方面是航空应急领域的主要研 究方向, 航空应急管理和应急装备研究是航空应急领域的热点问题。但航空应急领域的研究在内容和深度上尚有待 加强。 [ABSTRACT FROM AUTHOR]

Copyright of Resources Development & Market is the property of Sichuan Resource Development & Market Magazine Co., Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Promoting the integration of rural primary, secondary, and tertiary industries is an important measure for developing new agricultural industries, formats, and models. The article takes policy texts issued by the general offices of 23 provinces (cities) to promote rural industrial integration as the research object, and comprehensively uses word frequency analysis and social network analysis to explore the development methods and trends of promoting rural industrial integration. The research results indicate that the key content of promoting the integration of rural three industries in various provinces (cities) is to build a new pattern of rural industrial integration development with complete industrial chains, diverse services, sound mechanisms, and close interests. Therefore, in the process of promoting the integration of rural three industries, attention should be paid to coordinating diversified policies, strengthening leading enterprises in the development of the entire industrial chain, developing emerging agricultural formats, and focusing on implementing development support policies. [ABSTRACT FROM AUTHOR]

Copyright of New Media Research is the property of New Media Research Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of e-Education Research is the property of Northwest Normal University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Acta Scientiarum Naturalium Universitatis Sunyatseni / Zhongshan Daxue Xuebao is the property of Sun-Yat-Sen University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Railway Science & Engineering is the property of Journal of Railway Science & Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In recent years, various domestic and international shocks have intensified frequently, and the uncertainties in the economic environment are increasing in all regions. So enhancing economic resilience has become a necessary initiative to cope with national policies. 27 cities from urban agglomeration in the middle reaches of the Yangtze River are chosen as research objects, and scientific methods are used to construct the industrial spatial linkage network, measure the centrality characteristics of the industrial spatial linkage network and evaluate the economic resilience of the urban agglomeration from 2010 to 2019. Then, econometric methods are applied to analyze the effects of centrality characteristics of the industrial spatial linkage network on the economic resilience of the urban agglomeration. The results showed that: the industrial spatial linkage promotes the economic resilience of urban agglomeration, and it is found by heterogeneity analysis that, in the cities with good financial environment or high degree of marketization or low degree of industrialisation, industrial spatial linkage more significantly enhances the economic resilience. Finally, relevant countermeasures for industrial development and economic resilience of urban agglomeration in the middle reaches of the Yangtze River are proposed. [ABSTRACT FROM AUTHOR]

Copyright of China Forest Products Industry is the property of China Forest Products Industry Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Taking China and the 10 ASEAN countries as the research objects, the social network analysis method was used to construct the China-ASEAN trade flow network, we analyzed the growth characteristics of the overall network, revealed the relationship and distribution rules of trade nodes, identified core-periphery roles, peer roles, and intermediary roles. The results show that: ①Singapore, Thailand, and China in the core circle have frequent interactions, and China gradually gain dominating status; countries in the semi-peripheral circle have frequent turnover and are not stable; Cambodia, Myanmar, Laos, and Brunei are always in the peripheral circle. ②The actors in the same trade flow network are redundant with each other in national resources, forming a strong competitive economic relationship. Brunei, Cambodia, Myanmar, and Laos have never acted as intermediaries. China, Singapore, and Thailand have acted as intermediaries far more often than other countries, and have more resources to control. Indonesia, Malaysia, Vietnam, and the Philippines act as intermediaries less often and lack the ability to utilize resources. ③China, Singapore, Thailand, and Vietnam can use redundant resources to explore existing trade gaps in the trade flow network, so as to gain more opportunities to explore new trade markets, and retain multiple options to avoid risks in a timely manner. Indonesia, Malaysia, the Philippines, Cambodia, Brunei and Laos lack redundant resources to diversify risks, lack trade intermediary capacity, and lack the ability to participate in the operation of trade flow networks. In order to narrow the partial development gap of China-ASEAN trade flow network and decentralize the power centers of China and Thailand; attach importance to the construction of trade flow sub-networks, connect Myanmar and Laos to the southwestern provinces of China, and shorten the distance between peripheral countries and key intermediary countries; With China and Singapore as strongholds, adjust the national trade layout and use the intermediary role to connect core and peripheral countries. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Railway Science & Engineering is the property of Journal of Railway Science & Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

OBJECTIVE: To research the development of clinical trials in the pediatric population in China, analyze the trend and characteristics of cooperation among clinical trial institutions, so as to provide reference for constructing pediatric clinical medical research system. METHODS: Based on clinical trial research data of pediatric population published on the platform for registry and publicity of drug clinical trials by the Center for Drug Evaluation of National Medical Products Administration from 2013 to 2022, characteristics and cooperation trends were analyzed by using quantitative analysis and social network analysis methods. RESULTS: Among the 640 publicized projects, multi-center clinical research of drugs accounted for 87. 50% ( 560 projects ). Anti-tumor drugs and immunomodulators, blood and hematopoietic system drugs were popular categories in children’ s drug research and development. Core institutions and core principal investigator with high-quality clinical trial resources were relatively concentrated. CONCLUSIONS: Clinical trial research of drugs in the pediatric population in China are increasing, with frequent cooperation among some institutions and a loose cooperation network density, which requires further strengthening of cooperation [ABSTRACT FROM AUTHOR]

With the development of digital technology, virtual spaces have attracted widespread attention. Some studies have suggested that there is a certain interaction and dependence between virtual and geospatial spaces. However, most current research interprets geospatial implications in virtual spaces using semantic interpretation methods and lacks case studies that combine specific industries. Represented by the short video industry, the digital economy industry has constructed a virtual communication space that is distinct from the geospatial space through Internet media, possessing analytical conditions and values with dual spatial attributes. Given that short videos are important carriers of virtual social networks, this study focuses on the top short video creators on Bilibili, known as "POWER UP 100," who produce original short video content from 2018 to 2021. Relying on their basic information, video information, linkage situations, and other data, this study quantifies the two virtual space attributes of selected short video creators (influence and network centrality) using methods such as Spearman's correlation coefficient and social network analysis. Furthermore, it discusses the relationship between these two attributes and their geospatial attributes (geographical location and hierarchy), thus exploring whether the virtual space attributes of short video creators depend on their geospatial attributes. This study confirms that virtual spaces exhibit a certain degree of dependence on the geospatial space. Regarding the correlation between the UP virtual level and geospatial hierarchy, there are differences in the distribution of UP creator influence levels in different cities, with larger and higher-level cities having more dispersed UP creator influence levels. High-level top creators are mostly located in super-large cities, whereas low-level cities rarely have such creators. Although virtual networking platforms can, to some extent, enable top creators to attract fans and overcome geographical limitations, the level and range of their influence remain closely tied to the geographical hierarchy within the geospatial space. Virtual space interconnectivity networks based on UPs exhibit strong distance correlation, with linkage frequency primarily determined by geographical distance. However, in virtual space interconnectivity networks based on cities, the dominant role of geographical distance weakens, whereas the role of city hierarchy increases. Therefore, the following conclusions were drawn: (1) There is only a weak positive correlation between the virtual space level of the top short video creators and the geospatial hierarchy. (2) The construction of virtual space networks by top short video creators exhibits geographical proximity and hierarchical orientation, demonstrating a certain dependence on the geospatial space. (3) The virtual space activities of the top short video creators are significantly influenced by factors such as the economic and cultural levels of their cities. This study provides guidance and inspiration for the future creative work of short video creators. However, using the short video industry as an example, it reaffirms the conclusion that the virtual space generated under media transformation cannot be detached from the existing geospatial space. [ABSTRACT FROM AUTHOR]

Using the Pearl River Delta urban agglomeration as the research area, this study comprehensively uses an interlocking network model and social network analysis to construct a network based on the headquarters branch data of digital economy listed enterprises in 2005, 2010, 2015, and 2020 to analyze the digital economy correlation pattern of the Pearl River Delta urban agglomeration. The results show that from 2005 to 2020, the number of digital economy listed companies' headquarters and branches in the Pearl River Delta urban agglomeration has grown rapidly. The radiating influence of headquarters has gradually expanded, and cross-city connections among digital economy companies have strengthened. Shenzhen and Guangzhou have become the engines of digital economy development and the control centers of the correlation network. The overall correlation structure of the urban agglomeration transformed from a single triangle consisting of Guangzhou-Zhuhai-Shenzhen and the connecting cities in 2005 to a double triangle structure consisting of Guangzhou-Foshan-Shenzhen and Guangzhou-Zhuhai-Shenzhen and the connecting cities in 2020. The network density increased, the asymmetry weakened, and the agglomeration subgroups shifted from a single regional center to multiple regional centers. From an industrial perspective, there are significant disparities among the different sectors of the digital economy. Network connections were strongest in the information transmission, software, and information technology service industries, weakest in finance, and moderate in manufacturing. The dual-core status of Shenzhen and Guangzhou is prominent, whereas Zhaoqing and Jiangmen are on the network periphery. This study examines the formation and evolution of the digital economy network of the Pearl River Delta urban agglomeration from the perspective of corporate organizational connections, identifies the positions and roles of each city in the correlation network, analyzes the correlation pattern and evolution path of the digital economy, and expands the study of digital economy correlation from an industry perspective, revealing industry differences in the digital economy correlation of urban agglomerations. The characteristics of the regional digital economy correlation can be summarized based on the results of this study and the existing research. First, the degree of regional digital economy correlation continuously increases during the development of the digital economy, and the overall network connection is strengthened. Second, differentiation emerges in the digital economy correlation network, forming core and peripheral cities and displaying spatial distribution imbalances. This study also found that policy guidance may promote the formation of multiple centers in the region and contribute to the balanced development of the correlation network. Finally, the regional digital economy correlation exhibits industry differences due to industry foundations and development characteristics. To promote sustained and healthy development of the digital economy in the Pearl River Delta urban agglomeration, it is necessary to further enhance inter-city digital economy cooperation, better leverage the radiating driving effects of core cities, such as Shenzhen and Guangzhou, improve digital economy development policies and infrastructure in peripheral cities, and promote coordinated development of the overall digital economy in the urban agglomeration. Comprehensive planning of the industry layout is necessary in subdivided industries to promote balanced development across all sectors and form a concerted effort in digital economy development. These measures can also serve as a reference for other areas in developing digital economies. [ABSTRACT FROM AUTHOR]

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Zhengzhou, Luoyang and Xi’an high-quality development cooperation belt referred to as “Zheng-Luo-Xi cooperation belt” is a key region for achieving high-quality development in the middle and lower reaches of the Yellow River Basin, and is currently facing the issues of a large gap in urban economic development and low degree of cooperation. In order to find a breakthrough to strengthen the economic ties among the cities in this cooperation belt, we adopted the urban flow intensity model to modify the traditional gravitational model, measured the economic ties intensity of 15 cities in the Zheng-Luo-Xi high-quality development cooperation belt, explored the characteristics of the economic ties network among the cities from the perspective of social network and measured the geo-economic relationship of each city combination by using the Euclidean distance method. The results show that a) the economic linkage network among the cities in the cooperation belt is fragmented, the strength of economic linkage is increasing and there is still much room for improvement. Due to the influence of administrative divisions, the economic linkage among the cities is confined to cities within each province, while the economic linkage among inter-provincial cities is generally weak and unstable, showing that east-west is strong but central is weak, and proximity and jumping linkage coexist. b) Zhengzhou and Xi’an, as national central cities, are at the center of economic ties within the Zheng-Luo-Xi high-quality development cooperation belt, and their degree of centrality is generally higher than that of other cities, and their radiation effect on peripheral cities is stronger, making them the “strong engine” of regional economic development. c) During the study period, the overall restriction system of the cities in the cooperation belt decreases, the restriction factors of the economic linkage among the cities are decreased, and Zhengzhou, Xi’an, Jiaozuo and Luoyang always occupy more structural holes and are the “gateway nodes” to connect the regional economic linkage. d) The inter-provincial cities in the cooperation belt are mainly in complementary geo-economic relations, while the intra-provincial cities are mainly in competitive geo-economic relations. Xi’an, Jiyuan and Sanmenxia have a greater complementary role among the inter-provincial cities and have the potential to break through the spatial distance and administrative boundaries to develop economic cooperation with other cities. [ABSTRACT FROM AUTHOR]

The spatial structure of tourist flow represents the tourists' flow pattern, shows the difference of tourism resources, and provides the basis for the balance and sustainable development of tourism. Based on the digital footprint data obtained from the online travel notes on Qunar.com, this article describes and analyzes the spatial structure of tourism flow in Sanya City using the research methods of flow statistics, association rule mining, and social network analysis under the framework of anchor theory; further, it condenses the characteristics of different types of tourists at different time scales. The key findings include: (1) The spatial structure of Sanya's tourism flow is affected by the popularity of scenic spots, showing a flow pattern of "one core and two cores" and several core paths; the core area is located along the coastline, showing the characteristics of coastal tourism city. (2) In the spatial structure of Sanya's tourist flow, the distribution of core nodes is uneven, and the phenomenon of structural holes is obvious, showing the spatial pattern of uneven distribution of scenic spots and fierce competition among scenic spots. (3) In the structure network of Sanya's tourist flow, most tourists are medium-scale travelers, followed by small-scale travelers and large-scale travelers. (4) The tourist attraction system of Sanya's tourist flow is hierarchically distributed and has multiple anchor attractions. Different anchor attractions have different attractions to tourists of different types and time, except for beach tourist destinations and island areas. Therefore, targeted marketing for different types of tourists is a challenge for the future development of Sanya's tourism. In this article, the anchor point theory is introduced into the study of tourism flow. Based on the flow direction statistics, association rule mining and field investigation, the rules of the anchor point selection of tourism flow are established, verified, and supplemented by the social network analysis method. Theoretical support and quantitative data support complement each other. The application of anchor theory and association rule mining not only enriches the theoretical framework in the field of tourism flow, but it also scientifically determines the anchor points of the tourism flow's structure network. This is helpful to understand tourist behavior and mode, and it can provide targeted suggestions for the precision marketing of tropical coastal tourist cities. [ABSTRACT FROM AUTHOR]

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The social network analysis method is used to construct a typical criminal organization network of abducting and trafficking women and children, and the criminal organization structure is analyzed from the aspects of micro nodes, meso cohesive subgroups and macro network as a whole. It is found that there is a "core periphery" structure in the organization with a decreasing core degree of traffickers, victims and buyers. The network density is low but the connectivity of information transmission between members is high. There are core members who have a significant impact on the realization of information exchange and goals in the organization, and the overall characteristics of the "star structure". [ABSTRACT FROM AUTHOR]

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The OECD is a key player in global education policy advice and part of the edu-business network. This network comprises of companies, philanthropies, consulting agencies and think tanks profiting from educational governance reforms and large-scale testing. This article investigates the structure of the OECD global policy network and its capability to bring together different types of expertise. To map the global policy advisors network, we introduce the concepts of boundary-spanning actors and field-crossing social capital. Using network analysis, we apply these concepts to investigate the embeddedness of the OECD in different social fields and the global field of power. Our findings indicate that the global network of policy advisors coordinates different forms of expertise by installing a system of patronage, consisting of a small number of key players and large numbers of actors that set education reforms in motion. We exemplify this result with McKinsey & Company. [ABSTRACT FROM AUTHOR]

Large-scale scientific facility is a complex giant system, which plays an important role in promoting national scientific and technological innovation. The development of large-scale scientific facilities has formed a research cooperation network composed of scientific research institutes, universities, enterprises, and other organizations. The large-scale scientific facilities in China have made significant progress and produced a large number of research achievements and papers. The amount of data available meets the requirements for network analysis. In this study, we first use the research paper data of large-scale scientific facilities from the CNKI database as a sample to obtain data on research collaboration in these facilities. Then, through data processing and using network science theories and modelling tools such as UCINET and Gephi, we construct a research collaboration network of large-scale scientific facilities, with organizational institutions as network nodes and collaboration relationships as edges. Next, we use centrality measures such as degree centrality, betweenness centrality, and closeness centrality to reveal the central positions of different organizational structures in the collaboration network. We also use metrics such as network diameter, network density, average path length, clustering coefficient, as well as the core-periphery model and structural hole measures to explain the cooperation characteristics among organizations and the overall properties of the research collaboration network in large-scale scientific facilities. This study found that due to the addition of new organizations, the density of the research collaboration network in large-scale scientific facilities has been diluted, making the network overall sparse while exhibiting small-world and scale-free characteristics. There are closely connected leadership-oriented small groups within the network, forming tightly-knit clusters of cooperation, with a few core organizational structures holding high positions in the network. The network exhibits a typical core-periphery structure: there are fewer organizations in the core area, while the semi-periphery area is more numerous or roughly the same as the periphery area. Higher education institutions, as important organizations in research activities, generally have lower centrality rankings in the research collaboration network and are not located in structural holes. The leading units play the role of both dominators and bridgers in the network, having absolute control over the network and leading the research process. However, the current network has poor resource circulation. To promote the deep integration and development of the research collaboration network in large-scale scientific facilities, as the initiators and leaders of large-scale scientific facility development, the leading units should promote network communication from multiple perspectives. Research organizations should play a bridging and service role, establish industry-academia-research platforms, enhance network connectivity, engage in high-frequency collaboration, break the communication barriers of existing small groups, strengthen network information communication and knowledge exchange capabilities, and enhance the centrality of university nodes. By leveraging the strong innovation capabilities of universities, the hierarchical structure of the network can be broken, thereby enhancing the innovation capacity of large-scale scientific facilities. [ABSTRACT FROM AUTHOR]