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Adolescence is a period of life when an individual's values become differentiated. Moreover, social networks undergo changes throughout the school years, making this a suitable research area for confirming the effect of network composition on the formation of human values. In this study, we examined the stability and change of values among Korean adolescents, while assessing the influence of one's social network on the importance and change of values. Our findings reveal that the importance of conservation values among Korean teenagers increases during mid-late adolescence, and that the self-transcendence value is a settled disposition. We argue that these changes arise from a specific social structure and culture in South Korea, where children assume adult roles at an earlier age. In addition, the structural equation model revealed that social support enhances individuals' prosocial and post-materialistic values. Consequently, this research significantly contributes to the academic discourse by confirming the stability and changes in personal values during adolescence, while also considering the impact of social factors. [ABSTRACT FROM AUTHOR]

Purpose: The effects of gendered views on employee voice are of great importance for knowledge sharing within public universities. Yet, they are still neglected by current human resource management and entrepreneurship literature. While strengthening themselves by reinforcing the strengths and opportunities, public universities can generate entrepreneurial opportunities through various knowledge-sharing mechanisms, including social networks and employee voice. This became a crucial lever for public universities to leverage competitive advantages and to support entrepreneurial activities through network knowledge-based sharing. For this purpose, this study aims to examine the various aspects of entrepreneurship via the voice of employees, emphasizing the moderating effect of gender and the mediating role of social networks on the link between employee voice and the entrepreneurial atmosphere of universities. Design/methodology/approach: The authors collected survey data from a cross-sectional sample of 335 employees engaged in entrepreneurship activities within public universities in an emerging economy context and analyzed the data using partial least squares structural equation modeling (PLS-SEM) with the Smart-PLS software. Findings: The PLS-SEM analysis found that different dimensions of the university entrepreneurial climate (communication, knowledge sharing and innovative climate) positively impact members' voices within public universities. This effect is amplified by social networks, which are crucial for spreading knowledge among faculty, thereby fostering a more open and collaborative academic environment. Research limitations/implications: When acting, the university top management team should encourage the generation and dissemination of entrepreneurial ideas to nurture a dynamic entrepreneurial atmosphere and social involvement, ultimately supporting sustainable competitive advantages through a culture of strategic knowledge sharing. The results have practical implications for university managers, entrepreneurship education actors, administrators, policymakers and entrepreneurial ecosystem actors, by demonstrating how social networks can amplify the dissemination of ideas and entrepreneurial spirit. Originality/value: This research explores how entrepreneurship and social networks can help faculty members have a stronger influence in academic settings. It also fills in the gaps in knowledge about how human resource management and entrepreneurship can work together to create a more communicative and innovative academic environment. Additionally, this study brings new ideas to existing literature by looking at how gender differences can affect employee voice, particularly emphasizing the importance of women in leadership roles at universities. This study is also the first to delve into how entrepreneurship and social networks, along with gender perceptions, play a role in shaping the voice of employees in a public university. [ABSTRACT FROM AUTHOR]

Background: Informal caring is associated with mental health deterioration among young people and impacts their help-seeking ability. Social network can provide social support and mitigate the impact of informal care. However, young carers may avoid identification and withdraw from social networks. Evidence regarding the reciprocal associations between caring, social network, and mental health is scarce. We aimed to investigate the directionality and specificity of the associations among the three factors in young people. Methods: This study used three consecutive assessment data (2021–2023; T0–T2) from the Japan COVID-19 and Society Internet Survey. We included 5539 young persons aged ≤ 25 years and 25,445 adults aged 26–59 years. Social network was measured using the Lubben Social Network Scale. Psychological distress was evaluated using the Kessler Psychological Distress Scale. Caring status was retrospectively reported at T2. We employed a random intercept cross-lagged model to detect within-person prospective associations between informal caring, social network, and psychological distress. Results: Young persons showed significant directional relationships from increased social network and psychological distress at T0 to increased likelihood of caring at T1 (standardised coefficient: 0.131 and 0.176, respectively; 95% confidence interval, 0.015–0.247 and 0.071–0.282, respectively). Adults aged 26–59 years showed a reverse relationship from caring to increased psychological distress both from T0 to T1 (0.061, 0.009–0.112) and from T1 to T2 (0.042, 0.000–0.084). Conclusions: Increased psychological distress and social network preceded the onset of informal caring among young persons. Incorporating psychological distress assessment may benefit the early identification of and support for young carers. The long-term interplay between social networking and informal caring needs further clarification. [ABSTRACT FROM AUTHOR]

In an increasingly digitalised and interconnected world, assessing the strength of interpersonal ties in social networks is crucial for fields such as business, marketing and sociology. Traditional methods for evaluating Tie Strength (TS), which often classify relationships as either "strong" or "weak", fail to capture the uncertainty and ambiguity of human interactions. This study proposes a Fuzzy-based System for Assessment of Tie Strength (FSATS). We develop and evaluate two models: FSATSM1, which utilises three input parameters Interaction Time (IT), Level of Intimacy (LoI) and Emotional Intensity (EI); and FSATSM2, where we introduce Reciprocity (Rc) as an additional parameter. Through simulations, we compare the performance of both models for the assessment of TS. The simulation results show that for FSATSM1, when IT is 0.9 and EI is 0.7 for all values of LoI, the TS values are more than 0.5. While, for FSATSM2, when IT is 0.9, for EI 0.1 (Rc more than 0.8), EI 0.5 (Rc more than 0.5) and EI 0.9 (Rc more than 0.2), all values of TS are more than 0.5, indicating a strong relationship. The results suggest that FSATSM2 provides a more accurate reflection of real-world relationships, which can be applied in contexts such as Social Customer Relationship Management (SCRM), enabling businesses to enhance customer engagement strategies. [ABSTRACT FROM AUTHOR]

Training and education quality are crucial worldwide even more in the area of technical vocation. The assessment validates the performance of the training and education process, however, the design of assessments that validate the acquisition of certain knowledge, abilities or competences is still unsolved and remains open for research. In this paper, the advance in new technologies is used in the assessment process in a step ahead. Since social media is a big part of the daily life for lots of students, an assessment method is proposed that uses social media as the learning motivation. In consequence, the proposed assessment method is completely aligned with the student way of life and this fact motivates the student learning process since generating new high impact social media contents is a very challenging task. The paper shows the results of an assessment innovation project in which the authors develop a methodology for evaluating laboratory practices that measures knowledge of introductory concepts in automatic control engineering courses. The innovation aims to actively involve students in the generation of social media resources through modern technologies that are attractive to them. Under this methodology, students are tasked with creating a series of short videos explaining how to solve a specific problem or elucidate a concept covered in theory lessons. These videos are shared with their peers via a social network. Lecturers evaluate videos considering the quality in the explanation of technical concepts and impact in the social network. Results show that the proposed assessment methodology increases student motivation compared to the traditional assessment process and increases marks. [ABSTRACT FROM AUTHOR]

The outbreak of COVID-19 led to the emergence of various forms of mutual aid. While prior research has demonstrated that mutual aid can contribute to participants' subjective well-being, the majority of these studies are qualitative and lack clear understanding of the underlying mechanisms. Using a questionnaire survey and structural equation modeling, this study finds that mutual aid significantly enhances the subjective well-being of participants in China. Bootstrap chained mediation analysis shows that this is mainly because mutual aid not only provides material resources to participants but also helps to expand their social networks, thereby enhancing their self-esteem and self-efficacy, and ultimately improving their subjective well-being. In the chain mediation mechanism, the total effect of social network is significantly higher than that of material resources. Our study identifies social psychological mechanisms by which mutual aid acts on participant's subjective well-being, and it has important implications for community governance. [ABSTRACT FROM AUTHOR]

This paper investigates the effectiveness of centrality measures for the influence maximization problem in competitive social networks (SNs). We consider a framework, which we call "I-Game" (Influence Game), to conceptualize the adoption of competing products as a strategic game. Firms, as players, aim to maximize the adoption of their products, considering the possible rational choice of their competitors under a competitive diffusion model. They independently and simultaneously select their seeds (initial adopters) using an algorithm from a finite strategy space of algorithms. Since strategies may agree to select similar seeds, it is necessary to include an initial seed tie-breaking rule into the game model of the I-Game. We perform an empirical study in a two-player game under the competitive independent cascade model with three different seed-tie-breaking rules using four real-world SNs. The objective is to compare the performance of centrality-based strategies with some state-of-the-art algorithms used in the non-competitive influence maximization problem. The experimental results show that Nash equilibria vary according to the SN, seed-tie-breaking rules, and budgets. Moreover, they reveal that classical centrality measures outperform the most effective propagation-based algorithms in a competitive diffusion setting in three graphs. We attempt to explain these results by introducing a novel metric, the Early Influence Diffusion (EID) index, which measures the early influence diffusion of a strategy in a non-competitive setting. The EID index may be considered a valuable metric for predicting the effectiveness of a strategy in a competitive influence diffusion setting. [ABSTRACT FROM AUTHOR]

Background/Objective: Social networks help improve psychosocial and quality-of-life outcomes among older adults. This study aimed to examine the mediating role of social networks in the effect of health perception on the quality of life of the elderly. Methods: The sample of the study consisted of 327 people over the age of 65 who applied to a family health center. The study data were collected using the "Personal Information Form", "Perception of Health Scale", "World Health Organization Quality of Life Instrument-Older Adults Module", and "Lubben Social Network Scale". Multivariate regression analyses and mediation effect examinations were conducted to explore the relationships between social networks, health perception, and quality-of-life outcomes. Results: According to the findings, social networks mediate the relationship between health perception and quality of life. Individuals with a high level of health perception and a high level of social networks have higher quality-of-life levels than others. Conclusions: The results of the study confirm the significant correlation between health perception and the quality of life, as well as any potential links between these factors and social networks that affect older people's quality of life. [ABSTRACT FROM AUTHOR]

Identifying influential nodes within social and weblog networks plays a pivotal role in gaining insights into information dissemination processes and optimizing the structure of social networks to control and accelerate information diffusion. Existing literature on ranking the influence of network nodes encompasses various centrality measures; however, many of these measures perform effectively only under certain conditions, primarily because of lack of a comprehensive ranking mechanism that covers various aspects of a social network. In this study, we have introduced a novel hybrid node ranking model that is tailored for a specific type of social network known as a community weblog. The proposed model integrates classical network centralities with textual and temporal features. One of the significant aspects of the proposed model is the incorporation of temporal features, which assign higher weight to more recent time intervals during social interactions between network nodes. Additionally, the model employed an effective weighting mechanism based on information entropy. The weighting mechanism calibrates appropriate weights for each feature extracted from textual, temporal, and centrality aspects of a weblog network. These features are then objectively weighted and integrated into a hybrid multi-criterion ranking model named CTUserRank. To assign a unified importance rank to nodes in the weblog network, we leveraged the popular and effective aggregation technique known as TOPSIS. Finally, an empirical analysis is performed based on multiple community weblogs to measure the effectiveness of CSTUserRank against classical and recent centrality models. Our findings demonstrate that CSTUserRank outperformed classical and recent centrality models in terms of effectively ranking influential users. [ABSTRACT FROM AUTHOR]