Social NetworksPub Date : 2025-03-18DOI: 10.1016/j.socnet.2025.03.002
Raji Ghawi, Jürgen Pfeffer
{"title":"Identifying stages in the lifespan of dynamic groups","authors":"Raji Ghawi, Jürgen Pfeffer","doi":"10.1016/j.socnet.2025.03.002","DOIUrl":"10.1016/j.socnet.2025.03.002","url":null,"abstract":"<div><div>Dynamic groups, characterized by their evolving memberships, present unique challenges in understanding group behavior and performance. Traditional models often overlook the fluidity of group composition, focusing instead on static memberships. In this paper, we introduce a comprehensive framework to empirically measure and analyze changes in group composition over time, offering new insights into group dynamics. We propose key metrics, including <em>Growth Rate</em>, <em>Churn</em>, and <em>Revitalization</em>, that quantify the movement of members in and out of groups. Further, we define distinct stages of group development, such as organic growth, dynamic growth, fluid stability, and erosion, which capture the evolving nature of group composition. A data-driven method is presented to systematically identify these stages across a group’s lifespan. As a case study, we apply our methodology to a dataset from the massively multiplayer online game Travian, involving nearly 900 alliances and over 17,000 players, revealing common patterns of group evolution and frequent transitions between growth and decline. Our findings underscore the value of understanding group stages, offering practical implications for managing dynamic groups in various organizational settings.</div></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"82 ","pages":"Pages 39-54"},"PeriodicalIF":2.9,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social NetworksPub Date : 2025-03-17DOI: 10.1016/j.socnet.2025.02.002
Cassie McMillan , Kaley A. Jones , Wade C. Jacobsen , Nayan G. Ramirez , Mark E. Feinberg
{"title":"Friends forever? Correlates of high school friendship (in)stability from adolescence to young adulthood","authors":"Cassie McMillan , Kaley A. Jones , Wade C. Jacobsen , Nayan G. Ramirez , Mark E. Feinberg","doi":"10.1016/j.socnet.2025.02.002","DOIUrl":"10.1016/j.socnet.2025.02.002","url":null,"abstract":"<div><div>Although friendship instability is common throughout adolescence and young adulthood, experiencing high rates of relational turnover is associated with negative health outcomes and lower educational attainment. Currently, we know little about whether the rates and correlates of friendship instability change during the transition to young adulthood, even though this period is characterized by significant life events such as high school completion. Using new and unique network data from the PROSPER study, we address this gap by following the trajectories of roughly 2000 respondents’ close friendships from the start of high school to one year after graduation. Results suggest that friendship dissolution is frequent after high school, with only 35 % of friendships reported in respondents’ senior years of high school remaining intact one year later. Similar histories of substance use were more impactful in inspiring friendship persistence after high school than during adolescence, while the role of shared sociodemographic characteristics did not vary across developmental periods. After high school, young people were also more likely to maintain friendships with peers who previously reciprocated these relationships and reported friends in common. Our findings underscore how friendship dynamics change at the start of young adulthood in ways that carry implications for behavioral trajectories and life outcomes.</div></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"82 ","pages":"Pages 27-38"},"PeriodicalIF":2.9,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social NetworksPub Date : 2025-03-11DOI: 10.1016/j.socnet.2025.03.001
Niles Breuer, Martina Baradel
{"title":"Investigating the dynamics of yakuza violence using multilevel network analysis","authors":"Niles Breuer, Martina Baradel","doi":"10.1016/j.socnet.2025.03.001","DOIUrl":"10.1016/j.socnet.2025.03.001","url":null,"abstract":"<div><div>This paper investigates the structure of the yakuza – the Japanese mafia – and the patterns of violence between local yakuza groups using a novel dataset of yakuza-on-yakuza conflict throughout Japan between 2014 and 2019. We define new multilevel temporal reciprocity measures and apply a multilevel exponential random graph model to investigate the structure of yakuza violence. We find low levels of retaliation and complex ‘cascading’ conflict structures and that yakuza syndicates act as cohesive organizations that can constrain the actions of their member groups. This research contributes to the understanding of the yakuza’s structure and how violent conflict occurs within organized crime groups.</div></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"82 ","pages":"Pages 14-26"},"PeriodicalIF":2.9,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social NetworksPub Date : 2025-02-14DOI: 10.1016/j.socnet.2025.02.001
Mélina Girard, David Décary-Hétu
{"title":"From warnings to bans: The role of social networks in the severity of sanctions","authors":"Mélina Girard, David Décary-Hétu","doi":"10.1016/j.socnet.2025.02.001","DOIUrl":"10.1016/j.socnet.2025.02.001","url":null,"abstract":"<div><div>This study examines the influence of social networks on the severity of sanctions in an online hacking forum, using a leaked dataset containing private interactions, reputation points, and administrative actions. Applying social identity theory, power structure, and social capital concepts to social network analysis, we find that members who committed spam, lacked bidirectional relationships with admins, and were less integrated and influential were more likely to be banned than warned. Our findings highlight the significant role of social ties and individual behaviors in determining sanctions, offering new insights into the dynamics of illicit online communities.</div></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"82 ","pages":"Pages 1-13"},"PeriodicalIF":2.9,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social NetworksPub Date : 2025-01-10DOI: 10.1016/j.socnet.2024.12.002
Judith Gilsbach , Johannes Stauder
{"title":"Digital communication and tie formation amongst freshmen students during and after the pandemic","authors":"Judith Gilsbach , Johannes Stauder","doi":"10.1016/j.socnet.2024.12.002","DOIUrl":"10.1016/j.socnet.2024.12.002","url":null,"abstract":"<div><div>This study examines the network evolution among sociology freshmen students during and after the Covid-19 pandemic as a natural experiment on the impacts of digitalised communication. The first surveyed cohort (N = 42) began their studies under lockdown in October 2020, when all classes were taught online (lockdown cohort). The second cohort (N = 66) started one year later when the lockdown measures were released partly and most classes were taught in a hybrid mode (hybrid cohort). We use Stochastic Actor-Oriented Models (SAOM) for model estimation; missing relations due to actor non-response are multiply imputed using SAOM-based procedures. The findings show (1) that the network among students of the lockdown cohort developed slower and reached a lower density at the end of the first term, (2) that the probability of triadic closure was significantly lower in the lockdown than in the hybrid cohort and (3) that in both cohorts, students have a stronger tendency to get acquainted if they share classes, but (4) that shared classes were more important for tie formation during lockdown. We conclude that digital communication will mitigate the opportunities to make new acquaintances and friends.</div></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"81 ","pages":"Pages 53-66"},"PeriodicalIF":2.9,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social NetworksPub Date : 2024-12-19DOI: 10.1016/j.socnet.2024.12.001
Christopher McCarty , Peter D. Killworth
{"title":"Corrigendum to “Impact of methods for reducing respondent burden on personal network structural measures” [Soc. Netw. 29 (2007) 300–315]","authors":"Christopher McCarty , Peter D. Killworth","doi":"10.1016/j.socnet.2024.12.001","DOIUrl":"10.1016/j.socnet.2024.12.001","url":null,"abstract":"","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"81 ","pages":"Page 52"},"PeriodicalIF":2.9,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social NetworksPub Date : 2024-12-16DOI: 10.1016/j.socnet.2024.11.002
José Luis Estévez , Carl Nordlund
{"title":"Revising the Borgatti-Everett core-periphery model: Inter-categorical density blocks and partially connected cores","authors":"José Luis Estévez , Carl Nordlund","doi":"10.1016/j.socnet.2024.11.002","DOIUrl":"10.1016/j.socnet.2024.11.002","url":null,"abstract":"<div><div>Borgatti and Everett's model (2000) remains the prevailing standard for identifying categorical core-periphery structures in empirical networks, yet this method poses two significant issues. The first concerns the handling of inter-categorical ties—those linking core and periphery actors. The second problem is the model's definition of the ideal core as a complete block or clique, which can be overly stringent in practical applications. Building on advancements in direct blockmodeling, we propose modifications to address these shortcomings. To better handle inter-categorical ties, we replace the traditional cell-wise correlation approach with one based on exact- and minimum-density blocks. To relax the constraint of a fully connected core, we introduce the p-core, a proportional adaptation of the k-core/k-plex cohesive subgroups, providing greater flexibility in defining the level of cohesion required for core membership. We illustrate the advantages of these enhancements using both classic network examples and synthetic networks.</div></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"81 ","pages":"Pages 31-51"},"PeriodicalIF":2.9,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social NetworksPub Date : 2024-11-28DOI: 10.1016/j.socnet.2024.10.002
Eugene T.Y. Ang , Prasanta Bhattacharya , Andrew E.B. Lim
{"title":"Estimating policy effects in a social network with independent set sampling","authors":"Eugene T.Y. Ang , Prasanta Bhattacharya , Andrew E.B. Lim","doi":"10.1016/j.socnet.2024.10.002","DOIUrl":"10.1016/j.socnet.2024.10.002","url":null,"abstract":"<div><div>Evaluating the impact of policy interventions on respondents who are embedded in a social network is often challenging due to the presence of network interference within the treatment groups, as well as between treatment and non-treatment groups. In this paper, we propose a novel empirical strategy that combines network sampling based on the identification of independent sets with a stochastic actor-oriented model (SAOM) to infer the direct and net effects of a policy. By assigning respondents from an independent set to the treatment, we are able to block direct spillover of the treatment among the treated respondents for an extended period of time, during which the direct effect of the treatment can be isolated from the associated network interference. We empirically demonstrate this using a simulation-based evaluation of a fictitious policy implementation using both real-life and generated networks, and use a counterfactual approach to estimate the treatment effect of the policy. Our results highlight the effectiveness of our proposed empirical strategy, and notably, the role of network sampling techniques in influencing the evaluation of policy effects. The findings from this study have the potential to help researchers and policymakers with planning, designing, and anticipating policy responses in a networked society.</div></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"81 ","pages":"Pages 17-30"},"PeriodicalIF":2.9,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social NetworksPub Date : 2024-11-16DOI: 10.1016/j.socnet.2024.11.001
Andrea Fronzetti Colladon , Maurizio Naldi
{"title":"Why distinctiveness centrality is distinctive","authors":"Andrea Fronzetti Colladon , Maurizio Naldi","doi":"10.1016/j.socnet.2024.11.001","DOIUrl":"10.1016/j.socnet.2024.11.001","url":null,"abstract":"<div><div>This paper responds to a commentary by Neal (2024) regarding the Distinctiveness centrality metrics introduced by Fronzetti Colladon and Naldi (2020). Distinctiveness centrality offers a novel reinterpretation of degree centrality, particularly emphasizing the significance of direct connections to loosely connected peers within (social) networks. This response paper presents a more comprehensive analysis of the correlation between Distinctiveness and the Beta and Gamma measures. All five Distinctiveness measures are considered, as well as a more meaningful range of the α parameter and different network topologies, distinguishing between weighted and unweighted networks. Findings indicate significant variability in correlations, supporting the viability of Distinctiveness as alternative or complementary metrics within social network analysis. Moreover, the paper presents computational complexity analysis and simplified R code for practical implementation. Encouraging initial findings suggest potential applications in diverse domains, inviting further exploration and comparative analyses.</div></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"81 ","pages":"Pages 1-16"},"PeriodicalIF":2.9,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social NetworksPub Date : 2024-10-16DOI: 10.1016/j.socnet.2024.10.001
Jennifer Watling Neal
{"title":"How many friends do youth nominate? A meta-analysis of gender, age, and geographic differences in average outdegree centrality","authors":"Jennifer Watling Neal","doi":"10.1016/j.socnet.2024.10.001","DOIUrl":"10.1016/j.socnet.2024.10.001","url":null,"abstract":"<div><div>This pre-registered meta-analysis uses multi-level random effects models to give precise estimates of average outbound best friend and friend nominations – average outdegree centrality – in youth friendship networks and examines whether average outdegree centrality varies by age, gender, and geographic region. Pooling 196 estimates reported in 51 articles reflecting 37 datasets from whole network studies, youth nominated 4.80 best friends on average (<span><math><mrow><mi>S</mi><mi>E</mi><mo>=</mo><mo>.</mo><mn>37</mn></mrow></math></span>). Additionally, pooling 64 estimates reported in 20 articles reflecting 18 datasets from whole network studies, youth nominated 6.05 friends on average (<span><math><mrow><mi>S</mi><mi>E</mi><mo>=</mo><mo>.</mo><mn>60</mn></mrow></math></span>). Early adolescents (10–14 years) nominated significantly more best friends than adolescents (15–18 years). However, there were no significant differences in average outdegree centrality by the gender or geographic region of the sample. Findings provide future research directions for understanding youth socializing environments and implications for peer interventions.</div></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"80 ","pages":"Pages 65-75"},"PeriodicalIF":2.9,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}