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This paper presents an extension to the relational event model with change points (REM-CP) to study abrupt changes to social interaction behavior in temporal networks. A change point detection algorithm is proposed for exploring when and which network effects abruptly change, and a confirmatory approach to test the presence of a change point at a given moment. The effectiveness of the methodology was assessed with numerical simulations and NASA's Apollo 13 mission data. The latter revealed dynamic communication behavior and identified time zones where most change points occurred, including around the time of the famous quote "Houston, we've had a problem." • The strengths of some effects and therefore social dynamics, can change at certain points in time. • The REM with Change Points (REM-CP) builds on the relational event modeling framework and the Bayes factor and detects when the change points in social networks occur. • REM-CP can explore when and which network effects abruptly change in a specified period and test the presence of a change point at a given moment. • REM-CP can be a useful tool to analyze how teams work, communicate and how they handle critical situations. • Team resilience has been defined in many ways, but the most fitting with the analysis at hand (REM-CP) is that of "graceful extensibility". [ABSTRACT FROM AUTHOR]

Collective food buying groups, such as community supported agriculture or self-organised citizen groups for delivery of food baskets, have emerged throughout the world as an important niche innovation for promoting more sustainable agri-food systems. These initiatives seek to bring about societal change. They do so, however, not through protest or interest-based lobbying, but by organising a protected space for learning and experimentation with lifestyle changes for sustainable food consumption and production practices. In particular, they aim to promote social learning on a broad set of sustainability values, beyond a focus on “fresh and healthy food” only, which characterizes many of the individual consumer oriented local food chain initiatives. This paper analyses the governance features of such local food buying groups by comparing 104 groups in five cities in Belgium. We find that the social networking activities of these groups, as compared to the social enterprise activities, have led to establish specific governance mechanisms. Whereas the main focus of the social enterprise activities is the organisation of the food provisioning logistics, the focus of the social network activities is the sharing of resources with other sustainable food initiatives, dissemination of information and broader discussion on sustainability issues. [ABSTRACT FROM AUTHOR]

• Social anxiety level of Chinese adolescents increased significantly over time. • Macro social indicators predicated the increase of adolescent social anxiety in China. As social anxiety is a key indicator measuring the mental health of adolescents, it is necessary to examine the changes in social anxiety level of Chinese adolescents with time. This research conducted a cross-temporal meta -analysis of 55 papers using the Interaction Anxious Scale (IAS) to investigate the changing trends and the influencing factors of adolescent social anxiety(N = 83893) from 2002 to 2020. The results showed that: (1) In the past 19 years, the score of social anxiety was significantly positively correlated with the year, indicating that social anxiety level of Chinese adolescents increased significantly year by year; (2) Score of social anxiety was significantly associated with four social indicators of economic condition (the residents' consumption level) and social connectedness (the divorce rate, the family size, and the urbanization level), suggesting that social change may account for the rise in Chinese adolescents' social anxiety level. This research explored the changing trend of social anxiety among Chinese adolescents in the past 19 years and served as a valuable reference for the intervention of Chinese adolescents' social anxiety in practice. [ABSTRACT FROM AUTHOR]

This paper proposes a framework for integrating mental constructs into economic analysis. It considers three types of belief: identities, narratives and norms. Identities influence preferences; narratives influence how causal relationships are (mis)understood; norms determine self-imposed constraints. The beliefs are acquired pre-rationally, through participation in social networks which are initial endowments; subsequent choice of network participation is path dependent. Actors rationally maximize their utility subject to these beliefs, but the beliefs themselves are contaminated by these endowments of irrationality. In equilibrium, beliefs and networks are locally stable and constitute a ‘culture’: the culture can be that of an organization, an entire society, or a family. Local stability is achieved partly through interactions between the three types of belief, and partly through the interaction of beliefs and networks. A dysfunctional culture generates behaviour that yields bad outcomes. If these forces are strong, Bayesian updating from mistakes can be frustrated: dysfunctional cultures can be traps. Principals can use various control variables to improve (or preserve) outcomes by targeting beliefs. The framework enables a systematic approach to dysfunctional cultures. [ABSTRACT FROM AUTHOR]