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With the increasing number of private vehicles, people urgently need a safe, comfortable and convenient transportation environment. Internet of vehicles is a network that provides efficient and safe information services by building a network topology among communication entities such as vehicles, pedestrians and roadside units. The Internet of vehicles can effectively meet people’s growing demand for the traffic environment, but it is vulnerable to attack because of its mobility and openness. Among many threats, the privacy disclosure of Internet of vehicles users may cause irreparable losses. Therefore, the privacy protection of Internet of vehicles has been widely concerned by researchers. This paper studies the privacy protection of the Internet of vehicles, summarizes the four basic properties of the Internet of vehicles according to the architecture of the Internet of vehicles, and analyzes the existing Internet of vehicles attack model. Through the investigation and summary of the privacy protection schemes of the Internet of vehicles in recent years, the methods commonly used in the existing research are classified. Then, the research on privacy protection of Internet of vehicles is divided into three categories according to the protection objects, and each scheme is analyzed and evaluated. At the same time, the views and challenges of the existing research are summarized. Finally, the full text is summarized and the prospect of future research is given. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Central China Normal University is the property of Huazhong 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 Journal of Social Sciences & Philosophy is the property of Research Center for Humanities & Social Sciences, Academia Sinica 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.)

Aiming at the coexistence of positive and negative information in the process of network public opinion dissemination, this paper introduced positive information clarifierCon the basis of the SIR model to construct an SCIR model for the simultaneous dissemination of positive and negative information. Considering the homepage effect and the heterogeneity of netizens, this paper used multi-agent simulation technology to simulate the spread of public opinion. The simulation results show that the SCIR model is more consistent with the dissemination of public opinion in the real network than the SIR model. The higher the credibility of the statements made by third-party organizations on the homepage, the more conducive to the control of public opinion, but there are thresholds. The homepage effect has both positive and negative effects on the results of online public opinion. Both the heterogeneity of netizens and the dissemination rate of positive and negative information have a significant impact on the outcome of the competition between positive and negative information. [ABSTRACT FROM AUTHOR]

Copyright of Society: Chinese Journal of Sociology / Shehui is the property of Society: Chinese Journal of Sociology 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 Northeastern University (Social Science) / Dongbei Daxue Xuebao (Shehui Kexue Ban) is the property of Dongbei Daxue 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 Changzhou University (Social Science Edition) is the property of Editorial Department of Journal of Changzhou 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 Communication & Culture is the property of Fu Jen Catholic University, Taiwan Graduate Institute of Mass Communication 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 a popular form of social media,micro-blog Web site provides rich information and services to users,at the same time it also brings the problem of information overload. How to use the microblogging network to recommend valuable information for users,to ease the problem of information overload,becomes increasingly important. According to the orientation,the randomness followed and other characteristics in the microblogging network,this paper proposed a microblogging network recommendation based on non-negative multiple matrix factorization,comprehensively considering the follow relationship among users,the repost relationship between users and micro-blog content,and the ownership relationship between micro-blog content and topic and other multi-source information. Experiment on Sina Weibo dataset for the micro-blog content recommendation,the results show that the method based on non-negative multiple matrix factorization,can effectively use the multidimensional information in microblogging network,significantly improve the accuracy of recommendation. This method can not only dig out the theme of micro-blog content,but also dig out the relationship among users,and can be extended to recommend friends and topics to users. [ABSTRACT FROM AUTHOR]

Copyright of Transactions of Beijing Institute of Technology is the property of Beijing University of Technology 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 Society: Chinese Journal of Sociology / Shehui is the property of Society: Chinese Journal of Sociology 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 a product of social structural change,online group events are considered the self-organization and resistance arising from the grassroots. From the epistemological point of view,it is impossible to explain and analyze their practical basis merely from the perspectives of psychological characteristics and communication channels,and it is only through establishing a political vision that their inherent logic can be actually grasped. By taking Mcadam's political process theory as the framework,we can find that political opportunity amplification,endogenous tissue mobilization and Internet users' cognitive liberation work together to promote the generation of online group events while the interaction among external organizations further accelerates the in-depth development. In addition,this paper also introduces such factors as discourse,emotion and culture as a complement and challenge to cognitive liberation in the analytical framework [ABSTRACT FROM AUTHOR]

Facebook is quickly becoming one of the most popular tools for social communication. The purpose of the present study was to examine the antecedents of Facebook users' behavioral intentions and draw on social exchange theory to support the model. Data were collected from 414 undergraduate and EMBA students in one university in Taiwan. Participants were asked to fill out the questionnaire based on the newest one post on their Facebook wall that they had recently received. Results of LISREL suggested that the proposed theoretical model fitted the data well, indicating a support of the hypotheses. This study can assist managers to understand the factors relate to motivate people to click "like", "comment", and "share". [ABSTRACT FROM AUTHOR]

Based on the behavioral characteristics of user groups in a website largely reflect the development situations of the website, this paper first proposed the concept of space in Internet for investigating the website development from the perspective of user behavior and defined Internet space and website growth space, both of which were used to represent network and measure the growth status and growth trend of websites respectively. For showing the distributions of spatial positions and the size of the growth space of websites in Internet space, it applied user scale, user dependency and user loyalty of a website to build the website development space model for the website. Futhermore, it proposed the computing methods for the three model parameters based on the characteristics of user behavior metrics. In view of the rapid development of mobile Internet, the development process of websites in mobile Internet could be more reflected. So that it conducted experiments on the data sets collected from a large-scale mobile network. Hence, it analysed the growth status of real websites in detail and predict the growth trend of websites accurately, which illustrates the effectiveness of the development space model. [ABSTRACT FROM AUTHOR]

By combining advantages of the most two prevalent group recommending methods, this paper built a new algorithm frame and introduced the disagreement factor to perfect the model. In addition, considering the specialty of online groups, it defined a variable to describe the interaction frequency among group members, and evaluated its effect on recommending results by analyzing its relationship with the recommending precision index. It used the data of Douban to test the efficacy of this algorithm. Results show that the algorithm considering disagreement factor obtains better recommendation effect, and that a well-designed interaction mechanism contributes to improving recommending precision. [ABSTRACT FROM AUTHOR]

A string of recent social events and crises has proved that the network is free in the real sense only if this kind of freedom is under supervision. Network supervision by the Chinese government has undergone an evolutionary process and at present it is faced with some realistic predicaments and challenges such as the composition of supervisory subjects, the scope of supervisory content, the selection of supervisory modes and the creation of a positive public opinion on network supervision. The new path design of network supervision in China should follow a systematic philosophical reflection. Most importantly, supervisory behaviors should conform to the well-accepted values of supervision, follow the rules of net operation, make good use of dialectics and integrate netizens' creativity with their self-discipline. In addition, the Chinese government should learn to utilize philosophical methods to formulate practicable measures of network supervision, handle the main conflicts in network supervision, pay close attention to net incidents, and strengthen the regulation and legislation of network supervision. [ABSTRACT FROM AUTHOR]

Micro-blog has become one of the main Internet platforms for information acquireing and sharing. Prediction on information sharing is the basis for controlling and supervising information. Attributes of micro-blog users and information contain data of users' preferences, physiological characteristics, content type. etc. Based on these data can predict information sharing. This paper analyzed modes of micro-blog information dissemination, theory and methods for predicting information sharing, based on PA algorithm, it proposed information sharing prediction model. Through Sina micro-blog data verified the model, it shows that the model has high prediction accuracy of information sharing. [ABSTRACT FROM AUTHOR]

Combined with the important role of the time factor in the detection of hot topics, this paper studied how to effectively get the latest and the most valuable topic issues in the micro-blog based on the theory of user interest and the behavior between users, and proposed a hot topic detection algorithm (TimePageRank, which modified the PageRank algorithm) with a time argument. First, the algorithm extracted topics which were interesting to users by using the voting mechanism and recorded the generation time of the topic. Then, it calculated the weight of each topic. Finally, this paper used the proposed algorithm to rank these topics to detect hot topics in the micro-blog. The experimental results over real data set illustrate the effectiveness and efficiency provided by the algorithm. [ABSTRACT FROM AUTHOR]

This report make a survey on users, application, technology, industry, capital, policy, law of China's new media in 4th season 2013. [ABSTRACT FROM AUTHOR]

China's exploding population of internet users and their intensifying participation in public discussions on socio-economic, political and cultural events have made China acquire a salient feature of having political debates through the internet and making policies enforced by the netizens' opinions. However, the examination of a couple of dozen public incidents disseminated through internet can reveal that even in the field concerning social justice, the internet public opinion is not confined to discussing, supervising and assessing the policy agenda set by the government. On the contrary, with the help of the netizens' group action and the influence of the press, the internet public opinion can also set the policy agenda through interacting with the government, thus influencing its policymaking. Therefore, it is of great significance to precisely describe and generalize the model of how Chinese public interact with the governments in setting policy agenda and pinpoint the most critical determinants in this process, for this will enable the Chinese government's policymaking to be more scientific, democratic and effective and help maintain the social stability. [ABSTRACT FROM AUTHOR]

Anti-corruption through internet has become an important part of China's fight against corruption and effective official responses are of great significance to correctly guiding public opinions on the internet, strengthening the credibility of government and maintaining social stability. However, in practice, there exist many problems in official responses to anti-corruption through Internet such as concealing facts, slighting over netizens, delaying cases, responding blindly to cases, failing to respond and so on. To correct such errors in anti-corruption through internet, the official responsibility for information verification and response of network anti-corruption should be firstly defined. Secondly, a network information monitoring system with the discipline inspection and supervision organs at all levels as its center should be established. Finally, the government should follow the principles of accuracy, timeliness, consistency and dynamics in responding to anti-corruption through internet. [ABSTRACT FROM AUTHOR]

Users' personal information is the basis of online personalized services. However, because of the risks in cyber world, online users are more concerned about their privacy security than ever, which results in either their unwillingness to provide personal information to websites or falsifying some of the required personal information during the registration. Based on the review of relevant literatures, a theoretical model is proposed, which show the influencing factors affecting online users' intention to provide personal information and privacy. Three kinds of factors, related to individuals, websites and situations, are adopted in this model. Furthermore, the theoretical model and relative hypotheses are verified by the empirical research by means of Structural Equation Model. The results show that individual's online privacy concerns will have negative impact on people's willing to provide personal information, while trust tendency can have positive impact on people's willing to provide personal information by influencing user's trust in the web site. As far as the site feature, good reputation, web security control and privacy policy, to a great extent, through establishing user's trust to have further positive impact on people's willing to provide personal information. In addition, the will is also affected by user's perception of site's serviceability and information sensitivity, while the impact by perception of site's usability and involvement degree haven't been supported. The results will be beneficial to websites with regard to the online users' personal information collection and a better registration procedure. [ABSTRACT FROM AUTHOR]

The Web log mining could obtain the web users' browsing interesting and their requirements, so an improved Web log mining algorithm which based on access time, browsing times and browsing paths is proposed. This study use Web log to create related matrixes, and then measure similarity of users' interest by considering both similarity of average browsing time and similarity of browsing paths. Finally, direct clustering algorithm is used to cluster the users of similar browsing interest and URL. The empirical study is based on real world Web log data. The result of the proposed algorithm can provide some useful recommendation on the website operation. [ABSTRACT FROM AUTHOR]

The session in search engine log denotes a sequential of queries from a user when he is searching for certain information during a period of time. Session analysis is a fundamental work for user behavior analysis. In contrast to current query log analysis focusing on the query modification and the relationship among user, query and clickthrough, this paper present user behavior analysis based on session, which includes the times of reformulation and the relationship among user, query and click-through. Experimental results show that the way users reformulate queries relates closely to the times they reformulate, while the number of clickthrough is steady; the last query often gets longer than the first, what is more, the main variation lies in some changed characters; the more often the users use the search engine, the greater the likelihood that they reformulate queries. [ABSTRACT FROM AUTHOR]

Based on the theory of two-side markets with the principal-agent theory as the framework for analysis, how did the Chinese leading shopping website Taobao as a trade platform solve the problem of mutual trust between buyers and sellers is studied. It is found that the market competition mechanism provided by the platform reduces the moral hazard to agent. Such a platform has authority to monitor the behavior of both the principal and the agent and to make the system of rewards and penalties effective. Furthermore, a guarantee system is provided on the platform to prevent the principal from the possible opportunistic actions. The cases of Taobao provide not only an example for solving the mutual trust problem of online trade but also a reply to "Web proposition". [ABSTRACT FROM AUTHOR]

Mental health crisis intervention for college students is at the core of mental health education on campus. Through analyzing the modes of mental health crisis intervention in the eastern and western college campuses, we have found considerable weakness in the current mode of intervention. Given the different forms of the mental health crisis suffered by college students and the theoretical and practical difficulties in the crisis intervention, we propose that the intervention be based on compromise. The compromise-based intervention mainly consists of the following aspects: to establish a feedback system of the information about mental health crisis; to build a prevention system for mental health crisis; to improve the socio-psychological environment for college students; to educate and guide the college students in making psychological self-regulations; to strengthen and optimize personnel and organization construction for mental health crisis intervention; to enhance the cooperation and internet access for the intervention projects. [ABSTRACT FROM AUTHOR]

Internet Services Provider(ISP) can be divided into Internet Content Provider( ICP), Internet Access Provider( IAP) and Internet Platform Provider( IPP). ICP should be responsible for what contents it provides, and IAP can' t be convicted as an auxiliary criminal. It follows that the relevant judicial interpretation is questionable. As to the IPP, what it did should not be regarded as an auxiliary criminal, since the help it provides usually belongs to a neutral behavior without the danger impermitted by law. The behavior of any companies who provide P2P softwares and other related services usually belongs to normal business operation, and it is improper to consider such a behavior as a danger which should be convicted insomuch as an auxiliary criminal to be punished. The proper way is to deny that their help behavior is guilty and they are auxiliary criminals. [ABSTRACT FROM AUTHOR]

With advancement in information technology, Internet have penetrated into almost every part of our life. Initially, the Internet was developed as a technology for providing access to information. Currently, the Internet has a great impact on Internet users. The article summarizes Internet Psychology in Western countries from two sides: the impact of Internet on its users; and the impact of personalities of Internet users on their Internet behaviors. What's more, we make some comments on the advantages and disadvantages of Western Internet Psychology research, further research field as well as the questions we should pay attention to. [ABSTRACT FROM AUTHOR]

Considering the dynamic feature of Web access data, a method for mining frequent fluctuating Web access pattern (FF-WAP) from historical change of Web users access sequence (WAS) data is presented. Firstly, unordered tree structure is adopted to represent historical WAS sets and then, the detailed definition and mining algorithm description of FF-WAP are presented. Finally, according to the number of WAS and the average size of each WAS in data sets, experiments to analyze scalability and performance of the algorithm are conducted. The results show that the algorithm has better scalability and can extract frequent fluctuating Web access patterns efficiently. [ABSTRACT FROM AUTHOR]

香港基督教服務處樂Teen會自2004年開始，開展了「網開新一面」計劃，協助沉迷網絡的青少年健康使用網絡，並向各界推廣健康使用網絡之訊息。本論文將分享此計劃中「online特攻–網絡成癮者小組」在2006–2007年掌握到網絡成癮青少年的基本統計資料、使用網絡的形態和服務前後的改變的情況。「 online特攻–網絡成癮者小組」的目的爲協助沉迷網絡的中學生及小學生重拾有節制使用電腦的能力。透過小組前後的個別訪談，計劃發現參加者無論在網絡成癮情況和使用電腦時數兩方面，在統計學上都有明顯改善，證明小組有效地改善組員上網成癮的情況。而且參加者在參與本計劃後，他們均表示在個人發展、人際關係、學業成績及家庭關係上也有所改善。文章除了詳述小組的成效外，亦會分享「網開新一面」計劃的主要內容和當中「online特攻–網絡成癮者小組」模式引發的建議。 "Online New Page Project" has been launched by Hong Kong Christian Service since 2004. The aim of this project was to assist young internet addicts to regain control on computer usage and to disseminate the message of healthy computer use among the public. This study 1) explores the characteristic of young internet addicts, such as their basic demographic information and their pattern of using internet before and after using our service, and 2) evaluates the effectiveness of the therapeutic groups for this group of service users. The results from in-depth interviews before and after the group revealed that service users had improvement on controlling themselves from internet addiction, with a significant decrease in the time spending on the internet daily. The results also indicate significant improvement in individual development, interpersonal relationship, academic performance and family relationship. Furthermore, this study also shares the major service components of "Therapeutic Group for Internet Addicts" under "Online New Page Project" (2004-2007) and reflections gained in the project for further service development. [ABSTRACT FROM AUTHOR]

Online users' collective interests played an important role for analyzing the online social networks and personalized re commendations. The purpose was to introduce the information entropy to measure the diversity of the user interests. This paper empirically calculated the information entropy of the objects selected by the users with the same degree in both the MovieLens and Last. FM data sets. The results for the MovieLens datasets show that the interests of the small-degree and large-degree users were more centralized, while the interests of normal users were more diverse. However, the results for the Last. FM indicated that was the user degree was the greater, the users' interests were the more centralized. In addition, it proposed a null model to be compared with the empirical results. The results show that the diversity of the majority of users in the real datasets is higher than that in random cases. As a result, users' interests have a significant impact on users' behavioral patterns. [ABSTRACT FROM AUTHOR]

Aiming at data sparsity and malicious behavior in traditional collaborative filtering algorithm, this paper proposed a new algorithm of collaborative filtering based on social network. To improve the accuracy of collaborative recommendation, this paper proposed a collaborative recommendation method based on social network analysis (SNA) by using SNA to improve the collaborative recommendation methods. This paper proposed a new social recommendation method combining user's trust and preference. The idea of this method was to compute the importance of the nodes to weak the negative influence the false or malicious score bring to recommendation system. Experimental results show that the algorithm can alleviate the sparsity and malicious problems and achieve a better prediction accuracy than traditional collaborative filtering algorithms. [ABSTRACT FROM AUTHOR]

In order to ensure that the third-party Internet payment platform could profit, this paper discussed the most reasonable price strategy by a model. Based on the two-sided market theory of industrial organization theory, the method used actual data to find out that the market structure of the third-party Internet payment was monopoly, combined the actual charge method that user fee for users and two-part tariff on the merchants. At the same time, when a series of endogenous variables increased, the platform would tend to charge the merchants user fee, simultaneously reduced the user fee for users and registration fee on the merchants. Finally it suggested the direction of perfecting the pricing strategy. [ABSTRACT FROM AUTHOR]

A semantic model reflecting the relationship among users, queries and resources is proposed based on the analysis on rations between Web logs and user queries. And then a Web usage mining algorithm is presented. In view of Web related information with property of sparsity, the algorithm is speeded up by adjusting the orders of multiplication. Experiments show that the proposed method is feasible and effective. [ABSTRACT FROM AUTHOR]