UNASSIGNED: This research aimed to investigate whether subjective general health mediated the relationship between social networks and subjective well-being and whether the perception of fair payment moderated the mediating effect of subjective general health on subjective well-being.
UNASSIGNED: Data were drawn from round 9 of the European Social Survey (ESS), involving 3,843 respondents from 19 countries, with ages ranging from 65 to 90 years (Meanage = 73.88 ± 6.61 years). The participants completed self-reported measures assessing subjective well-being, social networks, subjective general health, and perception of fair payment.
UNASSIGNED: Subjective general health played a mediating role in the relationship between social networks and subjective well-being. The perception of fair payment emerged as a moderator in the mediating effect of subjective general health on the association between social networks and subjective well-being.
UNASSIGNED: This study suggests that the impact of social networks on both subjective general health and subjective well-being is contingent upon individuals\' perceptions of fair payment. These results highlight the significance of social networks in fostering social connections and promoting overall subjective well-being.

We develop an endogenous approach to the practice of denunciation, as an alternative to exogenous historical and sociological accounts. It analyzes denunciation as a response to increasing pressure, which in turn increases pressure on social contacts. The research context is the trial of Waldensians in Giaveno, Italy, in 1335, headed by the inquisitor Alberto de Castellario. A dynamic network actor model attests that coercive pressure not only raises the rate of denunciation but also compels denouncers to implicate individuals who are socially closer to them. We find that coercive pressure starts yielding diminishing returns relatively quickly, with the degree of redundancy of information escalating as a result of preferential attachment, increasingly targeting those already denounced by others, publicly announced suspects, and those having absconded from the trial.

BACKGROUND: Physical activity has been found to associate with improved health outcomes in children with multiple sclerosis (MS). Social networks may facilitate physical activity in children with MS.
OBJECTIVE: To estimate associations between social network characteristics and physical activity in children with MS compared to children with monophasic acquired demyelinating syndrome (mono-ADS).
METHODS: Children with MS and mono-ADS recruited from the Hospital for Sick Children completed questionnaires on social network and physical activity. Descriptive and inferential analyses estimated differences between cohorts and correlations.
RESULTS: Children with MS (n = 16) and mono-ADS (n = 22) did not differ in outcomes. Higher physical activity associated with larger social networks (rs= 0.681, p < 0.01), more Emotional Support (rs= 0.604, p < 0.05), Camaraderie (rs= 0.585, p < 0.05), more social network members with post-secondary education (rs= 0.680, p < 0.05), and members who exercise 3 to 4 times a week (rs= 0.744, p < 0.01). These associations were not found in children with mono-ADS.
CONCLUSIONS: Larger social network size, more emotional support and camaraderie, and more individuals with post-secondary education and who regularly exercise in the social network associated with higher physical activity in children with MS. Social network characteristics may help understand health behaviors in children with MS.

Adolescence is a developmental period characterized by increasingly complex and influential peer contexts. Concurrently, developmental changes in neural circuits, particularly those related to social cognition, affective salience, and cognitive control, contribute to individuals\' social interactions and behaviors. However, while adolescents\' behaviors and overall outcomes are influenced by the entirety of their social environments, insights from developmental and social neuroscience often come from studies of individual relationships or specific social actors. By capturing information about both adolescents\' individual relations and their larger social contexts, social network analysis offers a powerful opportunity to enhance our understanding of how social factors interact with adolescent development. In this review, we highlight the relevant features of adolescent social and neural development that should be considered when integrating social network analysis and neuroimaging methods. We focus on broad themes of adolescent development, including identity formation, peer sensitivity, and the pursuit of social goals, that serve as potential mechanisms for the relations between neural processes and social network features. With these factors in mind, we review the current research and propose future applications of these methods and theories.

BACKGROUND: As social media platforms gain popularity, their usage is increasingly associated with cyberbullying and body shaming, causing devastating effects.
OBJECTIVE: This study aims to investigate the impact of social media on Generation Z users\' body image satisfaction. More specifically, it examines the impact of TikTok on body image satisfaction among TikTok users aged between 17 years and 26 years in Indonesia.
METHODS: The methodology used mixed-method approaches. Quantitative data were obtained from 507 responses to a questionnaire and analyzed using covariance-based structural equation modeling. Qualitative data were obtained from the interviews of 32 respondents and analyzed through content analysis.
RESULTS: This study reveals that upward appearance comparison is influenced by video-based activity and appearance motivation. Conversely, thin-ideal internalization is influenced by appearance motivation and social media literacy. Upward appearance comparisons and thin-ideal internalization comparisons detrimentally impact users\' body image satisfaction.
CONCLUSIONS: The results of this study are expected to provide valuable insights for social media providers, regulators, and educators in their endeavors to establish a positive and healthy social media environment for users.

To enumerate people experiencing homelessness in the U.S., the federal Department of Housing and Urban Development (HUD) mandates its designated local jurisdictions regularly conduct a crude census of this population. This Point-in-Time (PIT) body count, typically conducted on a January night by volunteers with flashlights and clipboards, is often followed by interviews with a separate convenience sample. Here, we propose employing a network-based (peer-referral) respondent-driven sampling (RDS) method to generate a representative sample of unsheltered people, accompanied by a novel method to generate a statistical estimate of the number of unsheltered people in the jurisdiction. First, we develop a power analysis for the sample size of our RDS survey to count unsheltered people experiencing homelessness. Then, we conducted three large-scale population-representative samples in King County, WA (Seattle metro) in 2022, 2023, and 2024. We describe the data collection and the application of our new method, comparing the 2020 PIT count (the last visual PIT count performed in King County) to the new method 2022 and 2024 PIT counts. We conclude with a discussion and future directions.

Even in our highly interconnected modern world, geographic factors play an important role in human social connections. Similarly, social relationships influence how and where we travel, and how we think about our spatial world. Here, we review the growing body of neuroscience research that is revealing multiple interactions between social and spatial processes in both humans and non-human animals. We review research on the cognitive and neural representation of spatial and social information, and highlight recent findings suggesting that underlying mechanisms might be common to both. We discuss how spatial factors can influence social behaviour, and how social concepts modify representations of space. In so doing, this review elucidates not only how neural representations of social and spatial information interact but also similarities in how the brain represents and operates on analogous information about its social and spatial surroundings.This article is part of the theme issue \'The spatial-social interface: a theoretical and empirical integration\'.

The structure of social networks fundamentally influences spreading dynamics. In general, the more contact between individuals, the more opportunity there is for the transmission of information or disease to take place. Yet, contact between individuals, and any resulting transmission events, are determined by a combination of spatial (where individuals choose to move) and social rules (who they choose to interact with or learn from). Here, we examine the effect of the social-spatial interface on spreading dynamics using a simulation model. We quantify the relative effects of different movement rules (localized, semi-localized, nomadic and resource-based movement) and social transmission rules (simple transmission, anti-conformity, proportional, conformity and threshold rules) to both the structure of social networks and spread of a novel behaviour. Localized movement created weakly connected sparse networks, nomadic movement created weakly connected dense networks, and resource-based movement generated strongly connected modular networks. The resulting rate of spreading varied with different combinations of movement and transmission rules, but-importantly-the relative rankings of transmission rules changed when running simulations on static versus dynamic representations of networks. Our results emphasize that individual-level social and spatial behaviours influence emergent network structure, and are of particular consequence for the spread of information under complex transmission rules.This article is part of the theme issue \'The spatial-social interface: a theoretical and empirical integration\'.

Previous research has demonstrated the positive impact of doing sports together on maintaining physical activity levels. Yet, there remains a gap in understanding the selection processes leading to sports partnerships. We address this question using a two-study design. Study 1 examines longitudinal ego-network data; we analyze data of 1,222 sports partnerships among 409 Dutch university students. We find that emotional closeness, rather than skill similarity, is a key determinant of sports partnership continuation over time. We do not find that the sports setting in which sports partnerships are embedded (i.e. sports clubs, informal groups, commercial gyms, unorganized settings) affect the stability of sports partnerships. Study 2 employs a discrete choice experiment, in which individuals are tasked to choose a sports partner out of choice-sets consisting of three sports partners who vary in the types of motivations and resources they offer (i.e. social comparison, knowledge, companionship, encouragement). People express a strong preference for sports partners who emphasize social aspects of sports, but as individuals become more active, sports partners who emphasize social comparison and who are knowledgeable about sports gain attractiveness. We discuss the implications of these findings for tailored strategies leveraging social networks to promote sports participation.

UNASSIGNED: Providing efficient and targeted services for patients with mental health problems requires efficient collaboration and coordination within healthcare providers, but measuring collaboration using traditional methods is challenging.
UNASSIGNED: To explore the patient-sharing networks of professionals taking care of different groups of patients with mental or substance use disorders.
UNASSIGNED: We used data that covered adult patients\' visits to the primary care service providers of seven municipalities in Finland during year 2021. Data included 8,217 patients (147,430 visits) with mental or substance use disorders who were treated by 1,566 health care professionals. We calculated descriptive network metrics to examine the connectivity of professionals in three different patient groups (patients with substance use disorders, psychotic disorders, and depressive disorders) and compared these characteristics to a network based on all patients. We also analyzed whether patient sharing was associated with the health care professionals\' attributes (occupational group, municipality) using Exponential Random Graph Models (ERGM).
UNASSIGNED: Diagnosis-specific networks were denser and more connected compared to the all-patients network. Nurses were the most central occupation in all the diagnosis-specific networks and especially in the substance use disorder patients network. When examining all patients, two professionals were more likely to share patients when they belonged to the same occupational group. However, in the network with depressive disorder patients we found the opposite: professionals were more likely to share patients if they were of different occupational groups.
UNASSIGNED: Patient-sharing networks within patients with a specific mental or substance use disorders are denser and more connected than networks based on all patients with mental or substance use disorders. In the substance use disorder patients network particularly, nurses were the most central occupation. Multi-professional connections were more likely in depressive disorder networks than in the all-patients network.