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We advance interactionist perspectives on how organizational structures emerge in new issue domains. Our study is grounded in field data collected over 18 months at a large biomedical company that sought to become more sustainable. Over that period, some sustainability-related issues became firmly embedded in formal structures and procedures, while others faltered. We identify the quality of situational interactions among organizational members as the engine behind the structuring of organizational sustainability efforts. Successful interactions generated traces of attention, motivation, knowledge, relationships, and resources that linked fleeting interactions to emergent organizational structures. Our findings point to the importance of internal advocates and distributed processes at middle and lower levels for developing organizational structures, and we show that advocates’ interests, commitments, and identities are altered in the course of repeated interactions, as are the political resources available to them. Paying attention to situation-level interactions thus results in a more dynamic view of the emergence of formal structures through political processes. We develop a process model that informs structuration perspectives on organizational change by showing how social interaction dynamics can account for divergent levels of structuring within the same domain. The model also advances political perspectives on organizational change by unpacking the situational underpinnings of advocacy efforts and collective mobilization around issues.

Consistent inter-individual differences in behaviour are thought to be related to consistency in social network position. There is also evidence that network structures can show predictable temporal dynamics, suggesting that consistency in social network position across time does not preclude some form of plasticity in response to environmental variation. To better consider variation in network position and plasticity simultaneously, we investigate the extension of the behavioural reaction norm (BRN) to dynamic social networks. Our aim is to estimate both an individual’s position and plasticity within a network across an environmental gradient (i.e. to generate a network reaction norm (NRN)). We show that it is possible to account for the non-independence of network measures using covariance structures but that, in cases where the independent variables are group-level environmental measures, a standard multilevel model is sufficient. We therefore outline when a standard multilevel model is appropriate for NRNs and highlight the benefits and limitations to this approach. As an illustrative example, we used an NRN approach on 7 years of behavioural data on chacma baboons to quantify both the consistency with which individuals maintained social behaviour (node strength) and central positions (eigenvector centrality) within the social network. We found evidence for individual plasticity for node strength but little evidence for eigenvector centrality. Conversely, we found evidence of consistent individual differences in eigenvector centrality but not strength. These results suggest that individual node strengths are influenced by environmental changes, but the social structure of the group remains remarkably stable nevertheless. We suggest that expanding from measures of repeatability in social networks to network reaction norms will provide a more contextually nuanced way to investigate social phenotypes, leading to a better understanding of the development and maintenance of social structures in changing environments.Significance statementAn individual’s position within a social network can have consequences for its fitness, resulting in great interest into how individuals develop and maintain particular network positions. Here, we extend the notion of behavioural reaction norms to include social network data. Given the non-independence of network data, however, the application of BRNs is not straightforward. Consequently, we have developed an alternative statistical extension that uses covariance structures to account for non-independence. Although we find that under one specific set of assumptions, it is possible to apply the standard BRN to network data. Applying this approach to data from a social group of chacma baboons, we found individual social behaviours shifted in response to environmental variables, yet the social structure of the group remained remarkably stable.

This paper explores patterns and motivations for social tie formation and dissolution in the context of age. It provides empirical tests of the social convoy model, socioemotional selectivity theory, and the differential investment of resources (DIRe) model. Data comes from a survey administered face-to-face to a large, representative sample of the population of Poland ( n  = 1000). Controlling for between-tie and between-ego differences, it is found that the intensity of forming and dropping new ties is a decreasing function of age, but the relationship becomes weaker among people aged 40 and older. The number of social ties people maintain (degree) is also a decreasing function of age. However, the number of social ties with family, as opposed to coworkers and other acquaintances, is roughly constant across age groups. Young women, but not men, tend to form fewer ties if they are married. Both expressive and instrumental motivations for social tie formation are relatively most active in middle adulthood. The data also reveal a “rich get richer” effect: people with relatively high degree and a more central position in a social network tend to form more new ties and enlarge their social network over time.

States are increasingly resorting to international cooperative agreements to deter migrants and refugees from irregularly arriving at their borders. Although scholars have shown how these cooperative deterrence policies are undermining important refugee and human rights protections, making migration journeys more dangerous, and securitizing and criminalizing people on the move, what has not been adequately examined is how these cooperative arrangements can bring about normative changes that produce indifference to the suffering of refugees and migrants. This article examines the psychosocial dynamics of cooperative deterrence policies to show how the social processes of authorization, routinization, evasion of responsibility, and dehumanization weaken moral restraints and opportunities for moral contemplation. Governments are using these social processes to implement, legitimize, and promote harmful policies; evade legal responsibility; and obscure the moral implications of their policies. This article sheds new light on the psychosocial effects of cooperative deterrence, the dark side of international cooperation, and the role that indifference plays in maintaining and legitimizing migration deterrence polices.

Acute treatment aftercare in the form of sober living environments—i.e., recovery houses—provide an inexpensive and effective medium-term treatment alternative for many with substance use disorders. Limited evidence suggests that house-situated social relationships and associated social support are critical determinants of how successful these residential experiences are for their members, but little is known about the mechanisms underlying these relationships. This study explored the feasibility of using dynamic social network modeling to understand house-situated longitudinal associations among individual Alcoholics Anonymous related recovery behaviors, length of residence, dyadic interpersonal trust, and dyadic confidant relationship formation processes. Trust and confidant relationships were measured 3 months apart in U.S. urban-area recovery houses, all of which were part of a network of substance use recovery homes. A stochastic actor-based model was successfully estimated from this data set. Results suggest that confidant relationships are predicted by trust, while trust is affected by recovery behaviors and length of residence. Conceptualizing recovery houses as a set of independent, evolving social networks that can be modeled jointly appears to be a promising direction for research.

The revolution of 2020 in Belarus has often been described as a new 1989 and there is no doubt that the emancipatory appeal of the Belarusian protests is similar to the one that sustained the 1989 revolutions. But will building the democratic system—the major aspiration of the Belarusian protesters—follow the scripts of liberalization and westernization in evidence in other eastern and central European countries? Will self-determination in post-Lukashenka Belarus follow a scenario modelled on the patterns adopted by other east European and post-Soviet states, where ethnocentric national identities and the memory of victims of communism became distinctive markers of east European post-communism? Examining the symbolic dimension of the protest repertoire, this article demonstrates how the protests re-arranged the system of historical and cultural references that shaped the foundation of Belarusian collective memory and identity discourses since 1994. It reveals how a broad variety of actors engaged in contention activated a process of re-signification of cultural and political symbols and ideas and led to the formation of a blended socio-cultural imaginary, which integrates previously disconnected and competing projects and ideologies.

This article contributes to the growing body of research on social assistance (SA) dynamics by analyzing patterns of SA receipt in China, a middle-income country with a large informal employment sector. Using national low-income household survey data and event history analysis, this study explored the mechanisms underlying exit from Dibao (formally known as Minimum Living Security) and changes in exit probability over time. We found that in the context of an informal economy, the ‘explicit’ change of individual characteristics and employment structure decisively affects receipt duration on the micro and macroeconomic levels, respectively. On the policy level, affected by the informal employment structure, employment services tend to be of low quality and fail to promote Dibao exit effectively. Although the specific Dibao payment strategy, which is used to address the difficulty in means tests, largely curbs the risks of declining working motivation, it considerably increases the possibility of prolonged Dibao use. With this systemic influence of informal employment, a unique pattern of SA receipt characterized by the combination of long-term use and a nondecreasing hazard rate has developed in China.

The Belarusian protest movement that started in August 2020 has been discussed from the point of view of strategy and objectives, and as the cradle of a new subjectivity. This essay goes beyond those two perspectives by looking at the regimes of engagement, developing in interaction with the material and technological environment, that have given the protests their distinctive style. The first part looks at coordination and representation at protest events and in producing protest symbols such as flags. The second part discusses the role of Telegram and the emergence of local protest groups. Even though the movement did not grow organically out of everyday concerns, there are some signs that it has begun to reassemble local communities from above. Yet there are also indications that politics continues to be seen as distinct from everyday life, making it uncertain that the movement will lead to a deeper transformation of society.

Belarusian women stand at the forefront of post-election protests. Their participation is seen as unprecedented and is often perceived as a “revolution with a female face.” It did not start as a feminist project, however, but rather as a reaction to mass-scale arrests of male participants during the first days of protests. At the same time, is it possible to characterize female involvement in women's chains of solidarity and then regular Saturday demonstrations as a “feminist project” when one takes into account the usage of traditional feminine images and feminine aesthetics during the protests? On the other hand, even the symbolic subversion of patriarchal stereotypes present on the posters seems to have its limits when violence is inflicted by the representatives of special military forces. This essay will examine the agentic nature of female protests and the ways of expressing dignity in times when a basic sense of security is lacking. I will look at situational individual acts of agency and how these acts characterize female participants of the protests as a group that is aware of its resources and power. The text will be based on the analysis of media discourse and visual materials.

Animal social networks are descriptions of social structure which, aside from their intrinsic interest for understanding sociality, can have significant bearing across many fields of biology. Network analysis provides a flexible toolbox for testing a broad range of hypotheses, and for describing the social system of species or populations in a quantitative and comparable manner. However, it requires careful consideration of underlying assumptions, in particular differentiating real from observed networks and controlling for inherent biases that are common in social data. We provide a practical guide for using this framework to analyse animal social systems and test hypotheses. First, we discuss key considerations when defining nodes and edges, and when designing methods for collecting data. We discuss different approaches for inferring social networks from these data and displaying them. We then provide an overview of methods for quantifying properties of nodes and networks, as well as for testing hypotheses concerning network structure and network processes. Finally, we provide information about assessing the power and accuracy of an observed network. Alongside this manuscript, we provide appendices containing background information on common programming routines and worked examples of how to perform network analysis using the r programming language. We conclude by discussing some of the major current challenges in social network analysis and interesting future directions. In particular, we highlight the under‐exploited potential of experimental manipulations on social networks to address research questions.