Social Networks最新文献_第3页

Urban environmental stewardship networks: How organizations collaborate, share resources, and exchange knowledge within Baltimore, Maryland 城市环境管理网络：组织如何在马里兰州巴尔的摩市合作、共享资源和交换知识

IF 2.9 2区社会学

Social Networks Pub Date : 2025-06-24 DOI: 10.1016/j.socnet.2025.05.002

Selena M. Livas , Dexter H. Locke , Nancy F. Sonti

{"title":"Urban environmental stewardship networks: How organizations collaborate, share resources, and exchange knowledge within Baltimore, Maryland","authors":"Selena M. Livas , Dexter H. Locke , Nancy F. Sonti","doi":"10.1016/j.socnet.2025.05.002","DOIUrl":"10.1016/j.socnet.2025.05.002","url":null,"abstract":"<div><div>Who are the groups stewarding the environment within local communities, where do they work, and who do they work with? The Stewardship Mapping and Assessment Project (STEW-MAP) survey has cataloged and mapped environmental stewardship groups in dozens of cities within the US and worldwide. The survey collects relational, network ties among respondents and their collaborators. In this study, we focus on the 2019 Baltimore, Maryland survey to better understand the relationships among environmental stewardship organizations across the city. We utilize exponential random graph models (ERGMs) to explore the factors that predict the formation of three distinct types of ties: collaboration, resource sharing, and knowledge sharing. The networks include 1,201 nodes with 2,884 total ties among them. Our results show that the network structure of each tie type is unique, but there is a shared tendency for degree distributions to be positively skewed, indicating the presence of many lower degree nodes. We also find that the main focus of these organizations and the organization type create substantial variation in their behavior; with some groups siloed, and others underutilized, one set of groups has managed to permeate all three networks: stormwater-focused groups. This study is the first to analyze this specific dataset and one of the few to use network models to analyze data collected through the STEW-MAP project. This work helps us understand the social forces shaping Baltimore’s stewardship network, while pointing to ways in which practitioners could potentially expand their reach. Overall, this work helps broaden our understanding of local environmental cooperation within a modern urban context.</div></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"83 ","pages":"Pages 105-119"},"PeriodicalIF":2.9,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144366251","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}

引用次数: 0

Networks of inclusion: Using teams and technology to create diverse social capital 包容网络：利用团队和技术创造多样化的社会资本

IF 2.9 2区社会学

Social Networks Pub Date : 2025-06-24 DOI: 10.1016/j.socnet.2025.05.003

Sarah J. Gordon , Wayne E. Baker , Jose Uribe , Cassandra R. Chambers , Bruce A. Desmarais

{"title":"Networks of inclusion: Using teams and technology to create diverse social capital","authors":"Sarah J. Gordon , Wayne E. Baker , Jose Uribe , Cassandra R. Chambers , Bruce A. Desmarais","doi":"10.1016/j.socnet.2025.05.003","DOIUrl":"10.1016/j.socnet.2025.05.003","url":null,"abstract":"<div><div>This study of intraorganizational network dynamics develops a structural approach to the concept of inclusion in organizations. This approach is a complement to the definition of inclusion as a social-psychological response to experiences in a diverse social environment. We analyze networks of interaction over time in a large population of students and evaluate the extent to which two interventions—working in teams and using a social networking service (SNS)—grew and diversified their social capital. Using network data collected before and after 518 undergraduate students worked in 96 teams and participated in the SNS, we analyze the formation of new bridging social capital (ties between demographically dissimilar people) and new bonding social capital (ties between demographically similar people). Team membership had a large effect on social capital, creating positive bonding ties and bridging ties. But teams also created negative ties. The SNS facilitated tie formation but did not create negative ties. Together, the two interventions expanded networks and shifted the balance of ties in favor of bridging ties, producing a more structurally inclusive network. Our study demonstrates how intentional practices can be used to improve network inclusivity, as well as the value of viewing diversity and inclusion through the lens of intraorganizational network dynamics.</div></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"83 ","pages":"Pages 120-133"},"PeriodicalIF":2.9,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144470763","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}

引用次数: 0

Double agency and co-evolution for two-mode networks, with an application to corporate interlocks and firms’ environmental performance 双模式网络的双重代理和共同进化，以及对企业联锁和企业环境绩效的应用

IF 2.9 2区社会学

Social Networks Pub Date : 2025-06-21 DOI: 10.1016/j.socnet.2025.05.008

Tom A.B. Snijders , Beata Łopaciuk-Gonczaryk

{"title":"Double agency and co-evolution for two-mode networks, with an application to corporate interlocks and firms’ environmental performance","authors":"Tom A.B. Snijders , Beata Łopaciuk-Gonczaryk","doi":"10.1016/j.socnet.2025.05.008","DOIUrl":"10.1016/j.socnet.2025.05.008","url":null,"abstract":"<div><div>Three extensions of the Stochastic Actor-oriented Model for two-mode networks are proposed. The first represents tie changes based on agency for both node sets. The second is a model for selection and influence in co-evolution of two two-mode networks, where the first is a membership network which serves to represent connections between groups making choices of activities in the second network. The third consists of new effects for categorical nodal covariates, representing the heterogeneity between nodes that often occurs in two-mode networks. As an illustration, selection and influence processes are studied in the co-evolution of the director interlock network of a set of 141 large European companies and the two-mode network of environmental policies of these companies, for the period from 2018 to 2022. Similarity between environmental policies is expressed in two ways: endorsing the same policy items, and correlation between the number of items endorsed. The findings show that declared pro-environmental practices spread through directorate interlocks and directors’ selection is based on peer referral.</div></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"83 ","pages":"Pages 92-104"},"PeriodicalIF":2.9,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331454","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}

引用次数: 0

Explaining contact patterns in acquaintanceship networks: A new covariate-based model 解释熟人网络中的联系模式：一个新的协变量模型

IF 2.9 2区社会学

Social Networks Pub Date : 2025-06-19 DOI: 10.1016/j.socnet.2025.05.005

Derick S. Baum

{"title":"Explaining contact patterns in acquaintanceship networks: A new covariate-based model","authors":"Derick S. Baum","doi":"10.1016/j.socnet.2025.05.005","DOIUrl":"10.1016/j.socnet.2025.05.005","url":null,"abstract":"<div><div>Aggregate relational data (ARD) on individuals’ ties to groups in a population offer valuable insights into the size of personal networks and the extent of segregation in contact with those groups. However, existing ARD models face two key limitations. First, they mask heterogeneity in network sizes across individuals who may differ markedly in relevant characteristics despite exhibiting similar response patterns on the ARD instrument. Second, although existing models can measure the overall level of segregation in contact with groups, they cannot reveal the determinants of segregation. To address these limitations, we introduce the Covariate Model, a regression-based framework that incorporates respondent covariates into analyses of ARD. We illustrate this model using ARD on contact with occupational categories. In addition to obtaining more substantively plausible network size estimates than existing approaches, the Covariate Model uncovers novel segregation patterns. For example, covariates — driven primarily by educational differences — account for a considerable portion of the segregation in contact with Higher Service occupations (e.g., lawyers and professors) but contribute little to explaining barriers to interaction with other occupational classes. By modeling the determinants of contact patterns in acquaintanceship networks, the Covariate Model extends the analytical reach of ARD and opens new avenues for research on social capital and segregation.</div></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"83 ","pages":"Pages 79-91"},"PeriodicalIF":2.9,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313812","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}

引用次数: 0

Bully-victim network perceptions of bullies, victims, and peer observers 欺凌受害者网络对欺凌者、受害者和同伴观察者的感知

IF 2.9 2区社会学

Social Networks Pub Date : 2025-06-17 DOI: 10.1016/j.socnet.2025.06.002

Kyosuke Tanaka , Keqin Zhang , Jeremy Foote , Seungyoon Lee , Doran C. French

{"title":"Bully-victim network perceptions of bullies, victims, and peer observers","authors":"Kyosuke Tanaka , Keqin Zhang , Jeremy Foote , Seungyoon Lee , Doran C. French","doi":"10.1016/j.socnet.2025.06.002","DOIUrl":"10.1016/j.socnet.2025.06.002","url":null,"abstract":"<div><div>Bullying is a complex social construct, and informants (e.g., bullies, victims, and peer observers) may have differing perceptions about bully-victim relationships. This study examines how informant perspectives differ using network data obtained from 438 fifth-grade students (<em>M</em><sub>age</sub> = 11.19 years old, 46 % girls) in 13 Indonesian elementary school classrooms. Using a cross-informant framework, we investigated how self- and peer-reported bully-victim relationships overlapped as a function of the sex of bullies and victims, friendship ties, and relational schemas (i.e., mental network heuristics). Results from a multiplex exponential random graph model revealed significant agreement between self- and peer-reports. There was greater agreement when bully-victim relationships occurred between non-friends. When self- and peer-reports disagreed, peers identified more instances of boys engaging in bullying than girls, as well as more cross-sex than same-sex bully-victim relationships. Self-reports more often identified bully-victim relationships between friends than between non-friends. Post-hoc analyses revealed that bullies and their friends often had conflicting views of their friendship. Additionally, peers reported more victims per bully and fewer bullies per victim when compared to self-reports. These findings contribute to the understanding of the network structure of bully-victim perceptions and offer practical implications for identifying bully-victim relationships.</div></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"83 ","pages":"Pages 62-78"},"PeriodicalIF":2.9,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144297734","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}

引用次数: 0

A comparison of top-coding strategies for aggregated relational data 聚合关系数据的顶编码策略比较

IF 2.9 2区社会学

Social Networks Pub Date : 2025-06-12 DOI: 10.1016/j.socnet.2025.05.006

Jody Clay-Warner , Hui Yi , Tenshi Kawashima , Jiacheng Li , David Okech , Fred Hassan Konteh

{"title":"A comparison of top-coding strategies for aggregated relational data","authors":"Jody Clay-Warner , Hui Yi , Tenshi Kawashima , Jiacheng Li , David Okech , Fred Hassan Konteh","doi":"10.1016/j.socnet.2025.05.006","DOIUrl":"10.1016/j.socnet.2025.05.006","url":null,"abstract":"<div><div>Aggregated relational data are commonly used in conjunction with scale-up methods to measure network size. In this approach, the number of people respondents report knowing in subpopulations of known size are scaled-up to estimate the size of their personal network. Because this method is sensitive to reporting errors, researchers often top-code responses about subpopulations of known size, although there is no consensus on how to select the top-code value. Here, we compare several top-coding methods, including new approaches that utilize Dunbar’s number, using datasets collected from two aggregated relational data surveys, one from Shanghai and one from Kambia, Sierra Leone. We employ three metrics to evaluate the top-coding strategies: mean error rates in the estimation of the subpopulations of known size, error rate in estimation of the target population, and degree mean. We find that the top-coding strategies all perform equally well in the estimation of the subpopulations of known size in both datasets. The strategies based on Dunbar’s number, however, performed better than the other strategies in the estimation of the target population in Kambia. In addition, the Dunbar’s number approaches produced substantially smaller degree means in both datasets. We examine these findings wholistically and provide suggestions for how researchers should approach top-coding decisions. We ultimately conclude that there is not a one-size-fits-all solution for top-coding and that researchers should systematically examine key indicators from the data to determine if top-coding is necessary and, if so, what top-coding strategy is appropriate.</div></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"83 ","pages":"Pages 50-61"},"PeriodicalIF":2.9,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144262551","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}

引用次数: 0

Overlapping social circles in historical elite career networks:Measuring accumulated social status with ‘k-circles’ and circle esteem in bipartite networks 历史精英职业网络中的交叠社交圈：用“k-圈”和二元网络中的圈子尊重衡量累积社会地位

IF 2.9 2区社会学

Social Networks Pub Date : 2025-06-10 DOI: 10.1016/j.socnet.2025.04.006

Anton Grau Larsen , Jacob Aagaard Lunding , Christoph Houman Ellersgaard

引用次数: 0

Embeddedness, status, and groups: Networks and employment in the American television production 嵌入性、地位和群体：美国电视制作中的网络和就业

IF 2.9 2区社会学

Social Networks Pub Date : 2025-05-28 DOI: 10.1016/j.socnet.2025.05.004

Erez Aharon Marantz , Jeff Sachs , Emily Erikson

引用次数: 0

Socio-cognitive networks between researchers: Investigating scientific dualities with the group-oriented relational hyperevent model

IF 2.9 2区社会学

Social Networks Pub Date : 2025-05-14 DOI: 10.1016/j.socnet.2025.04.005

Alejandro Espinosa-Rada , Jürgen Lerner , Cornelius Fritz

{"title":"Socio-cognitive networks between researchers: Investigating scientific dualities with the group-oriented relational hyperevent model","authors":"Alejandro Espinosa-Rada , Jürgen Lerner , Cornelius Fritz","doi":"10.1016/j.socnet.2025.04.005","DOIUrl":"10.1016/j.socnet.2025.04.005","url":null,"abstract":"<div><div>Understanding why researchers cite certain works remains a key question in the study of scientific networks. Prior research has identified factors such as relevance, group cohesion, and source crediting. However, the interplay between cognitive and social dimensions in citation behavior – often conceptualized as a socio-cognitive network – is frequently overlooked, particularly regarding the intermediary steps that lead to a citation. Since a citation first requires a work to be published by a set of authors, we examine how the structure of coauthorship networks influences citation patterns. To investigate this relationship, we analyze the citation and collaboration behavior of Chilean astronomers from 2013 to 2015 using the Group-Oriented Relational Hyperevent Model, which allows us to study coauthorship and citation networks in a joint framework. Our findings suggest that when selecting which works to cite, authors favor recent research and maintain cognitive continuity across cited works. At the same time, we observe that coherent groups – closely connected coauthors – tend to be co-cited more frequently in subsequent publications, reinforcing the interdependence of collaboration and citation networks.</div></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"83 ","pages":"Pages 1-13"},"PeriodicalIF":2.9,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143941290","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}

引用次数: 0

Hierarchy, Tasks, Space: An analysis of tie formation in the Palermo Mafia 层级、任务、空间：对巴勒莫黑手党关系形成的分析

IF 2.9 2区社会学

Social Networks Pub Date : 2025-04-30 DOI: 10.1016/j.socnet.2025.04.002

Michele Battisti , Andrea Mario Lavezzi , Roberto Musotto

{"title":"Hierarchy, Tasks, Space: An analysis of tie formation in the Palermo Mafia","authors":"Michele Battisti , Andrea Mario Lavezzi , Roberto Musotto","doi":"10.1016/j.socnet.2025.04.002","DOIUrl":"10.1016/j.socnet.2025.04.002","url":null,"abstract":"<div><div>We apply social network analysis to study tie formation among a large group of members of the Sicilian Mafia, one of the oldest criminal organizations, operating in the province of Palermo. Data come from the police operation denoted “Perseo”, which led to the arrest of 99 individuals active in the period 2006–2008. Specifically, we focus on the effect of hierarchical structure, task specialization patterns, and geographical organization on the probability of tie formation by estimating dyadic regressions. We find: First, if both agents in a dyad are bosses, two effects of opposite sign are at work: a scale effect, that increases the probability, and a homophily effect, that decreases such probability. Second, organizational task homophily positively affects tie formation, while criminal task homophily does not. Third, the key geographical variable driving tie formation is joint membership to the same <em>mandamento</em>, which makes sheer geographical distance non-statistically significant. We corroborate our results with several robustness tests and discuss their implications for an understanding of criminal organizations, such as the Cosa Nostra.</div></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"82 ","pages":"Pages 213-228"},"PeriodicalIF":2.9,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891921","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}

引用次数: 0