Social Networks最新文献

{"title":"Positive, negative, and ambivalent dyads and triads with family and friends: A personal network study on how they are associated with young adults’ well-being","authors":"Vera de Bel ,&nbsp;Eric D. Widmer","doi":"10.1016/j.socnet.2024.02.004","DOIUrl":"https://doi.org/10.1016/j.socnet.2024.02.004","url":null,"abstract":"<div><p>Although negative ties may cause stress and harm well-being, they are also considered fundamental in close and ongoing relationships. This study distinguishes positive, negative, and – when characterized by both valences – ambivalent ties. Analyzing almost 10,000 personal networks from the Swiss CH-X study shows that: (1) ambivalence among family members is more prevalent than among non-family members, (2) ambivalent family dyads or triads are not negatively associated with well-being, and (3) certain balanced family triads are associated with higher well-being and an unbalanced non-family triad is associated with lower well-being. These results suggest that conflicts are not necessarily detrimental to young adults’ well-being.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"78 ","pages":"Pages 184-202"},"PeriodicalIF":3.1,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S037887332400011X/pdfft?md5=6d0c27471623ae5ecb5ad865c29a4911&pid=1-s2.0-S037887332400011X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140061900","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}

{"title":"Walk-Independence Probabilities and WIP Centrality: A new heuristic for diffusion probabilities in networks","authors":"Maia King","doi":"10.1016/j.socnet.2023.11.007","DOIUrl":"https://doi.org/10.1016/j.socnet.2023.11.007","url":null,"abstract":"<div><p>Calculating the true probability that a signal will be transmitted between any pair of nodes in a network is computationally hard. Diffusion centrality, which counts the expected number of times that a signal will be transmitted, is often used as a heuristic for this probability. But this formula can lead to distorted results when used in this way, because its summation of probabilities does not take account of the inclusion–exclusion principle. This paper provides a simple new formula for the probabilities of node-to-node diffusion in networks, which uses De Morgan’s laws to account for the inclusion–exclusion principle. Like diffusion centrality, this formula is based on the assumption that the probabilities of a signal travelling along each walk in a network are independent. The probabilities it calculates are therefore called Walk-Independence Probabilities (WIP). These probabilities provide two new centrality measures, <em>WIP centrality</em> and <em>blocking centrality</em>. Blocking centrality is a type of induced centrality which is calculated when some nodes block signals.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"78 ","pages":"Pages 173-183"},"PeriodicalIF":3.1,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140014189","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}

{"title":"Older adults’ mental health during the COVID-19 pandemic: The association with social networks","authors":"Zaira Torres,&nbsp;Amparo Oliver,&nbsp;Irene Fernández","doi":"10.1016/j.socnet.2024.02.003","DOIUrl":"https://doi.org/10.1016/j.socnet.2024.02.003","url":null,"abstract":"<div><p>This study examined the impact of different social networks on the mental health outcomes of older adults during the COVID-19 pandemic. Participants were 25,534 older adults from the Survey of Health, Ageing and Retirement in Europe (SHARE). The study identified five social network profiles (family, friends, spouse, diverse, others) and a “no network” group. Findings showed that, compared to the no network profile, those with spouse and family profiles are more protected against depression and loneliness during the COVID-19. In turn, individuals within friends and diverse profiles had a similar likelihood of feeling depressed, anxious, and lonely. Friends and diverse profiles had higher likelihood of suffering more anxious or lonelier than before the COVID-19 compared to the no network profile. The study further discusses possible explanations about why these profiles, which typically served as mental health protectors, were significantly affected by the unique circumstances of the COVID-19 pandemic.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"78 ","pages":"Pages 164-172"},"PeriodicalIF":3.1,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378873324000145/pdfft?md5=8896d7bcb6c8565184937ed67fbfda97&pid=1-s2.0-S0378873324000145-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139986334","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}

{"title":"Stochastic actor oriented model with random effects","authors":"Giacomo Ceoldo ,&nbsp;Tom A.B. Snijders ,&nbsp;Ernst C. Wit","doi":"10.1016/j.socnet.2024.01.002","DOIUrl":"https://doi.org/10.1016/j.socnet.2024.01.002","url":null,"abstract":"<div><p><span>The stochastic actor oriented model (SAOM) is a method for modelling social interactions and social behaviour over time. It can be used to model drivers of dynamic interactions using both exogenous </span>covariates and endogenous network configurations, but also the co-evolution of behaviour and social interactions. In its standard implementations, it assumes that all individual have the same interaction evaluation function. This lack of heterogeneity is one of its limitations. The aim of this paper is to extend the inference framework for the SAOM to include random effects, so that the heterogeneity of individuals can be modelled more accurately.</p><p>We decompose the linear evaluation function that models the probability<span> of forming or removing a tie from the network, in a homogeneous fixed part and a random, individual-specific part. We extend the algorithm so that the variance of the random parameters can be estimated with method of moments. Our method is applicable for the general random effect formulations. We illustrate the method with a random out-degree model and show the parameter estimation of the random components, significance tests and model evaluation. We apply the method to the Kapferer’s Tailor shop study. It is shown that a random out-degree constitutes a serious alternative to including transitivity and higher-order dependency effects.</span></p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"78 ","pages":"Pages 150-163"},"PeriodicalIF":3.1,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139549588","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}

{"title":"Theorizing the concept of social tie using frames","authors":"Omar Lizardo","doi":"10.1016/j.socnet.2024.01.001","DOIUrl":"https://doi.org/10.1016/j.socnet.2024.01.001","url":null,"abstract":"<div><p>In classical Social Network Analysis (SNA), what counted as a “social tie” was fixed by available data collection methods. The emergence of large-scale unobtrusive data collection techniques has sparked renewed interest in the very idea of what counts as a “social tie.” Importantly, there has been an acknowledgment that the core issues raised by these developments are primarily conceptual. As a result, there is renewed interest in developing a scientifically grounded characterization of what is arguably the most central concept in social network analysis. This paper contributes to this conceptual effort. I rely on a technique of conceptual representation borrowed from cognitive psychology and cognitive linguistics in which frames for concepts are represented as directed graphs linking attributes to values. I show how the frame representation helps clarify the sort of claims that network theories make (e.g., imposing restrictions on attributes and values), how it helps specify both intra and inter-conceptual relations, how it illuminates seldom noted inter-theoretical commonalities and contrasts, and how it helps avoid common conceptual pitfalls.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"78 ","pages":"Pages 138-149"},"PeriodicalIF":3.1,"publicationDate":"2024-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378873324000017/pdfft?md5=fdd286078828e8dc2af3262d4518b679&pid=1-s2.0-S0378873324000017-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139434201","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}

{"title":"Cross-sectional social network study of adolescent peer group variation in substance use and mental wellbeing: The importance of the meso level","authors":"Srebrenka Letina ,&nbsp;Emily Long ,&nbsp;Paul McCrorie ,&nbsp;Kirstin Mitchell ,&nbsp;Claudia Zucca ,&nbsp;Julie Riddell ,&nbsp;Sharon Anne Simpson ,&nbsp;Laurence Moore ,&nbsp;Mark McCann","doi":"10.1016/j.socnet.2023.12.002","DOIUrl":"https://doi.org/10.1016/j.socnet.2023.12.002","url":null,"abstract":"<div><p>Adolescent health-related behaviours and outcomes are shaped by their peers through various social processes. Research using network data on friendship ties has uncovered evidence for processes such as peer influence and imitation. Much less is known about how the structure of small groups within a network, network communities that represents its meso level, affect individuals. The structure and composition of peer groups could play an important role in shaping health behaviour but knowledge of the effects of groups is limited. We used data from The Peers and Levels of Stress study, a cross-sectional social network study conducted in 2006 of 22 secondary schools in Glasgow, Scotland. Students from one year group (15–16 yrs., N = 3148; 50.8% women) provided information on socio-demographics, health behaviour and friendships via a questionnaire. Dependent variables were substance use and general mental wellbeing measured via principal components. We used a series of multilevel models with students (level 1), network communities (peer groups) identified by the Walktrap algorithm (level 2), and schools (level 3). We found substantial and moderate clustering at the peer group level for substance use and mental wellbeing, respectively. Larger and more transitive groups were associated with less substance use, but worse mental wellbeing. Addressing the methodological gap regarding the influence of the choice of group detection method on findings, we repeated our analysis using nine additional methods. The choice of the method somewhat influenced peer group variance and greatly influenced association of peer group properties with health. This study makes two key contributions to school-health improvement research. Beyond describing peer group clustering health outcomes, this is the first demonstration that structural and compositional characteristics of peer groups are associated with individual health, while highlighting the sensitivity of findings to group detection method used.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"78 ","pages":"Pages 119-137"},"PeriodicalIF":3.1,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378873323000862/pdfft?md5=fbb88b3f339606f623eb5245c1715995&pid=1-s2.0-S0378873323000862-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139398867","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}

{"title":"Down and out? the role of household income in students’ friendship formation in school-classes","authors":"Isabel J. Raabe ,&nbsp;Chaïm la Roi ,&nbsp;Stephanie Plenty","doi":"10.1016/j.socnet.2023.12.003","DOIUrl":"https://doi.org/10.1016/j.socnet.2023.12.003","url":null,"abstract":"<div><p>Research suggests that coming from a lower economic background compromises social integration at school, yet the precise mechanisms underlying this link remain unknown. Therefore, this study examined the effect of household income on friendship network dynamics among classmates in a large sample of Swedish youths (<em>n</em> = 4787 from 235 classes, <em>m</em> age = 14.65, 51% girls, and 33% immigrant background), using multilevel longitudinal social network analysis. Over time, students from poorer households were less often selected as a friend by classmates and they less often initiated or maintained friendship ties than students from higher income households. Furthermore, different conceptualizations of income relative to classmates did not impact friendship formation tendencies. The findings indicate that theories of relative income do not extend understanding of students’ friendship formation beyond processes related to absolute income. In addition, this study suggests that the social integration of students from low-income households could be boosted by both promoting their agency in forming friendships and preventing exclusion by classmates.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"78 ","pages":"Pages 109-118"},"PeriodicalIF":3.1,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378873323000874/pdfft?md5=bb87358c21c14fe6b197ca9e9ab1bee2&pid=1-s2.0-S0378873323000874-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139111585","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}

{"title":"Re-print of: Contextualizing oppositional cultures: A multilevel network analysis of status orders in schools","authors":"Hanno Kruse ,&nbsp;Clemens Kroneberg","doi":"10.1016/j.socnet.2023.11.001","DOIUrl":"https://doi.org/10.1016/j.socnet.2023.11.001","url":null,"abstract":"<div><p>Different lines of research have argued that specific groups, such as boys or ethnic minorities, are more prone to develop an anti-school culture than others, leading to group differences in the social acceptance of high performers. Taking an ecological view, we ask to what extent the school context promotes or prevents the emergence of group-specific oppositional cultures. Theoretically, we argue that group-based oppositional cultures become more likely in schools with low socio-economic resources and in schools where socio-economic differences align with demographic attributes. We test our hypotheses based on data from a large-scale, four-wave network panel survey among more than 4000 students in Germany. Applying stochastic actor-oriented models for the coevolution of networks and behavior, we find that group-based oppositional cultures in which students like high performers less are very rare. However, in line with theoretical expectations, the less resourceful a school is, the more boys tend to evaluate high-performing peers less positively than girls do. Moreover, the more ethnic minority boys are socioeconomically disdvantaged in a school, the more they tend to evaluate high performers less positively than majority boys do.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"77 ","pages":"Pages 55-67"},"PeriodicalIF":3.1,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378873323000771/pdfft?md5=f4e8314b9837c6407f81a89e37b15ccb&pid=1-s2.0-S0378873323000771-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139744056","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}

{"title":"Network Ecology: Introduction to the Special Issue","authors":"Malte Doehne ,&nbsp;Daniel A. McFarland ,&nbsp;James Moody","doi":"10.1016/j.socnet.2023.12.001","DOIUrl":"10.1016/j.socnet.2023.12.001","url":null,"abstract":"","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"77 ","pages":"Pages 1-4"},"PeriodicalIF":3.1,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139192677","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}

{"title":"Co-evolution of a socio-cognitive scientific network: A case study of citation dynamics among astronomers","authors":"Alejandro Espinosa-Rada ,&nbsp;Elisa Bellotti ,&nbsp;Martin G. Everett ,&nbsp;Christoph Stadtfeld","doi":"10.1016/j.socnet.2023.11.008","DOIUrl":"https://doi.org/10.1016/j.socnet.2023.11.008","url":null,"abstract":"<div><p>This paper aims to understand how a group of academics cite each others’ work through time, considering the simultaneous co-evolution of three networks representing their scientific collaboration, the journals in which they publish and institutional membership. It argues that both social and cognitive processes contribute to these dynamics. Two types of network mechanisms are considered specifically: closures by affiliation and closures by association. To assess whether these mechanisms generate the macro features of the network under study, we propose new features for three-mode multilevel networks such as the mixed geodesic distances, mixed degree distributions, and the mixed quadrilateral census. We investigate whether a micro-level model that considers the above-mentioned network mechanisms is able to correctly reproduce these features. We apply stochastic actor-oriented models (SAOMs) for one-mode and two-mode networks to link the micro-macro processes using a dataset of a scientific community of astronomers from 2013 to 2015. The results suggest that social relationships grounded on scientific collaboration and proximity based on institutional affiliation are more accurately suited to understanding the co-evolution of the network of citations than an alternative approach that merely considers cognitive-based networks measured as the similarity in publishing in the same journals.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"78 ","pages":"Pages 92-108"},"PeriodicalIF":3.1,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378873323000837/pdfft?md5=4915b5fb1cc13b23cca10c584a5eea7f&pid=1-s2.0-S0378873323000837-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139038419","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}