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Social Networks
(《社会网络》)
的最新目录与摘要
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期刊简介
Social Networks is an interdisciplinary and international quarterly. It provides a common forum for representatives of anthropology, sociology, history, social psychology, political science, human geography, biology, economics, communications science and other disciplines who share an interest in the study of the empirical structure of social relations and associations that may be expressed in network form. It publishes both theoretical and substantive papers. Critical reviews of major theoretical or methodological approaches using the notion of networks in the analysis of social behaviour are also included, as are reviews of recent books dealing with social networks and social structure.
The editorial criteria for acceptance will be based on the degree to which a paper makes a broad theoretical or methodological, and empirically relevant, contribution to the study of social networks. Acceptable papers may range from abstract, formal mathematical derivations to concrete, descriptive case studies of particular social networks. The editors are therefore particularly interested in papers that attempt to uncover the processes by which social networks emerge, evolve and have consequences for other aspects of behaviour. However, for reports of empirical research results, manuscripts must contain the following: a discussion of sampling, representation, and generalizability; a substantive foundation based on the social network literature; a consideration of social network processes; and a feature meaningful data.
期刊影响力分析
CiteScore（引用分）：数值为 16.2 。CiteScore是 Elsevier （爱思唯尔）基于 Scopus 数据库计算的指标，能够衡量期刊平均每篇文章在一定时间内被引用的次数，从而反映期刊整体影响力和文章被关注程度。
Impact Factor（影响因子）：数值为 7.8 。IF由 Clarivate Analytics（科睿唯安）基于 Web of Science 数据库计算，计算方式为某期刊前两年发表论文在统计年被引用总次数除以该期刊前两年发表论文总数。IF是国际上常用的评判期刊学术水平的指标之一 ，体现期刊近期论文被引用的频率和学术影响力 。
Current Issue
Social Networks 为季刊，每年发布四期，最新一期(Volume 85 May 2026)共计11篇文章，详情如下。
ARTICLES
# ARTICLE 1
Multiple senses of community in central and peripheral neighborhoods of Seville: The fragmentation of personal networks in social housing estates
Isidro Maya-Jariego, Francisco J. Santolaya, Pablo Pastor-Alcayde
A neighborhood's psychological sense of community is shaped by residents’ rootedness and their participation in everyday activities such as walking or using green spaces. Having children, owning a home, or walking a dog are often positively associated with a stronger sense of belonging to the local environment. However, the social foundations of the subjective experience of belonging and emotional connection to one’s neighborhood remain underexplored. Moreover, relatively few empirical studies have examined multiple senses of community simultaneously. This study analyzes the relationship between the structural characteristics of personal networks and the psychological sense of community among residents of four neighborhoods in the historic center and one in the urban periphery of Seville, in southern Spain. In each case, we also compare the sense of belonging to the neighborhood and to the city. The community survey included 430 residents. Personal networks characterized by higher fragmentation and greater homophily were more common in the peripheral neighborhood, where residents also reported a comparatively lower sense of community than in the historic center. However, the strongest predictors of neighborhood- and city-level belonging were comparative perceived well-being, length of residence in the neighborhood, and the number of neighborhoods in which respondents had previously lived.
# ARTICLE 2
The influence of relational mobility on social exclusion behavior: The mediating role of social participation intention
Shuyue Zhang, Linlin Lei, Lilan Liu, Shijiang Zuo
Structural features of social networks could influence interpersonal interactions, yet few studies have examined their link to social exclusion. This research investigated how relational mobility affects social exclusion behavior, with social participation intention as a mediator. We first developed the Social Exclusion Behavior Scale and demonstrated its reliability and validity in Study 1a (N = 1275). Using this scale, Study 1b (N = 650) found that relational mobility was negatively correlated with social exclusion behavior, and social participation intention played a mediating role. Study 2 (N = 209) manipulated relational mobility to clarify causal relationship and found that participants in the high-mobility group (vs. low-mobility) exhibited stronger social participation intentions and subsequently engaged in less social exclusion behavior. These findings identify relational mobility as a key structural feature of social networks influencing social exclusion behavior, clarify its underlying mechanism, and offer practical insights for interventions aimed at reducing social exclusion behavior.
# ARTICLE 3
From mapping to action: Social network analysis as a strategic tool in cross-national community interventions
Giorgia Trasciani, Stefano Ghinoi, Guido Conaldi
Community interventions increasingly leverage Social Network Analysis (SNA) both to understand relational patterns and to facilitate structural changes within networks. Indeed, SNA serves not only as an analytical tool but also as a catalyst for reflection and change. Although SNA has been widely used as an intervention tool, its application in cross-national contexts remains underexplored. This study aims to address this research gap by investigating how SNA can contribute to cross-national community interventions. We use a case study approach based on a longitudinal analysis of the Assistance and Legal Program for Emigrant Support (ALPES) network, a cross-national project established at the Italian-French border. In this project, SNA has been used both as a diagnostic tool to map the information exchange network of third-sector organizations and as a strategic intervention strategy that produced behavioral changes in these organizations. Our results show that SNA functioned as both a translational monitoring tool and a catalytic intervention: network visualization prompted organizations to strategically alter their collaborative patterns and address structural gaps in migrant support services across borders. This demonstrates how network feedback processes can enhance inter-organizational collaboration in complex cross-national contexts.
# ARTICLE 4
The ties that bother: Difficult relationships in the personal networks of older adults
Lea Ellwardt, Theo G. van Tilburg
Theorizations of social exchanges often assume that people prefer interactions with supportive others but avoid others they perceive as demanding or difficult. Yet, many social relationships are ambivalent, i.e., entail a combination of positive and negative interactions. We refer to difficult relationships as ties with an equal and high share of both elements or ties where the net balance of these two elements is outweighed by negativity. This study inquires how many difficult relationships prevail in the personal network in late life and where they originate.
Methods
Survey data are from the Longitudinal Aging Study Amsterdam (LASA) on egocentric networks. The sample comprised 892 respondents (mean age 73; range 61–100) and their 4273 network members. Models consist of mixed effects and logistic regressions for explaining difficulty on the relationship level and the network level.
Results
We found that 15 % of older adults engage in difficult relationships. The difficulty was most often found in involuntary relationships (with siblings, parents, neighbors), and relationships characterized by low receipt but high provision of emotional support, and high volatility. The difficulty in a personal network was more likely for older adults embedded in instable networks and networks that yielded difficult relationships among members in their network.
Discussion
People may face structural constraints that pressure them to continue engaging socially with others, even if they sometimes find them to be difficult. Research should take these ties seriously, as negative ties may bother more than positive ties benefit older adults.
# ARTICLE 5
Social network connectivity and food insecurity among single parents: Findings from a representative survey in Ghana
Obed Jones Owusu-Sarpong, Kabila Abass, Solomon Osei-Tutu, Armstrong Francis Tumawu, Razak M. Gyasi
Background
This study examines the association between social network connectivity and food insecurity among single parents in Ghana, and explores the modifying roles of age, sex, and spatial differences.
Methods
Data were collected from 627 single parents selected through a multi-stage stratified sampling technique. Social networks were evaluated using the Lubben Social Network Scale - 6 Item Version (LSNS-6). Food insecurity was assessed using the FIES Scale. Hierarchical multivariable linear regression models and interaction analyses were performed to evaluate the hypothesized associations.
Results
The mean age (SD) was 45.0 (14.7) years, and 67.3 % were females. After full adjustment, greater social network connectivity was significantly associated with lower food insecurity (B = −.093,p < 0.001). Age (B= −.002, p < 0.01) and spatial variations (B=.047, p < 0.05) moderated this association. Additionally, we observed significant negative associations of the social networks of relatives (B=-.105, p < 0.001) and of friends (B=.073, p < 0.01) with food insecurity
Conclusions
Social network connectivity was negatively associated with food insecurity, and this association was stronger among young adults and urban residents. Efforts for targeted interventions for single parents, in building resilient social network connectivity may provide a safety net in times of need.
# ARTICLE 6
The impact of dyads and extended networks on political talk: A factorial survey experiment in the Netherlands
Bas Hofstra, Thijmen Jeroense, Jochem Tolsma
Open political dialogue is regarded as foundational to democratic health and our social fabric. Here, we study political dialogue by examining with whom we prefer to talk about politics and why. In so doing, we develop and test hypotheses about what random encounters (e.g., meeting similar versus dissimilar others, meeting friends or colleagues) foster political dialogue, pose and test conjectures about what features of extended networks facilitate political debate, and present a new unique factorial survey experiment to answer our questions. We incorporated this factorial survey experiment within the NEtherlands Longitudinal Lifecourse Study 2022 (NELLS) and presented to a large sample of Dutch citizens – including Dutch ethnic majority members as well as minoritized Dutch with a Turkish or Moroccan heritage – a choice to engage in political talk or not. Hierarchical linear models reveal that relationship strength, rather than identity similarity (e.g., gender, ethnic), is the primary driver of opting for political dialogue. However, in encounters lacking prior relationship history, gender similarity increases the willingness to engage, and similar political views do relate to engaging in substantive debate modeled dichotomously. Ethnic diversity within extended networks fosters political discussion, while network size has a nonlinear association – medium-sized networks are more conducive to dialogue than very small or very large ones. These findings contribute to debates on political polarization by highlighting the relational conditions that encourage political exchange.
# ARTICLE 7
Alter composition with overlapping group memberships
Martin G. Everett, Stephen P. Borgatti
In this paper, we examine common methods of analyzing network data in which we characterize nodes via categorical attributes. For example, we consider alter composition (counting the number of alters of a given type), alter heterogeneity (measuring the diversity of ego’s alters), homophily (similarity between ego and their alters) and Gould-Fernandez brokerage (assessing how often a node is in a position to broker between different categories). All of these techniques assume that all nodes belong to one and only one category -- i.e., the categorical attribute forms a node partition. However, there are a number of circumstances in which network actors belong to multiple categories. For example a manager might belong to multiple teams or project groups, while a teacher may teach more than one subject. We present a general approach for generalizing measures originally designed for mutually exclusive categories to the case where we have multiple memberships. Instead of a categorical vector, our method assumes a node by category membership matrix that is row-stochastic (e.g., the proportion of effort spent on each of several projects). Multiplying the adjacency matrix by this indicator matrix gives the indirect affinity each node has to each category through its alters. In the special case where each row has a single non-zero value (i.e., 1), the product counts the number of alters in each category, providing a true generalization of existing measures. In addition, we extend Burt’s structural holes measures to not only take into account category membership, but also handle the case of multiple memberships.
# ARTICLE 8
Beyond weak ties in prison: An investigation of core support networks of incarcerated persons
Siyun Peng, Martha Tillson, Maria Rockett, Marisa Booty, Carrie B. Oser
Tie formation has been a core interest of network researchers. However, most existing research on tie formation in prisons has focused on weak ties, assuming that a core network approach is less applicable within total institutions such as prisons. Drawing on egocentric network data from 389 incarcerated individuals and 1352 named network members, this study demonstrates that relationships between incarcerated persons can be examined using a core support network framework. We find that about 20 % of participants include at least one incarcerated peer in their core support networks, with these ties providing both practical and emotional support comparable to that offered by other core support network members. These findings underscore the critical role that peer relationships play in coping with the stresses of incarceration. This study also offers a rare opportunity to test tie formation theories in a total institution context. Specifically, our results support theories of contact opportunities, unmet social needs, and experiential homophily in shaping decisions to include at least one incarcerated peer in core support networks. By examining the dynamics of core support networks during incarceration, this study contributes to a deeper understanding of resilience and trust formation in highly constrained, high-stress environments.
# ARTICLE 9
Getting lonely and isolated? Transitions in social isolation profiles over time and factors associated with them among older adults
Pildoo Sung, Angelique Chan, Abhijit Visaria, June May-Ling Lee
The interplay between the structural, functional, and evaluative dimensions of social isolation and their temporal dynamics remains underexplored. We investigated (1) older adults’ distinct social isolation profiles, each characterized by varying degrees of social ties, perceived social support, and loneliness; (2) the stability and changes in these profiles over time; and (3) factors associated with key transition patterns. Using random-intercept latent transition analysis on two-wave longitudinal data from 1305 older Singaporeans aged 60–91 years, we identified five time-invariant profiles: (1) diverse ties and support, less lonely (24.4 % at baseline); (2) relative ties and support, less lonely (25.8 %); (3) friend ties and support, less lonely (9.3 %); (4) less supportive ties, less lonely (31.1 %); and (5) less supportive ties, lonely (9.4 %). Over time, more than half of the respondents (56.1 %) changed profiles. Specifically, less educated and financially insecure older adults were more likely to transition from profiles with supportive ties (profiles 1–3) to the profile with less supportive ties (profile 4), without a concomitant rise in loneliness. Instead, increases in depressive symptoms were associated with persistence in or transition into the lonely profile (profile 5). Overall, socioeconomic disadvantages and deteriorating mental health were identified as distinct risk factors for reduced perceived support and loneliness, respectively, highlighting the necessity for tailored interventions.
# ARTICLE 10
Dissipation and bondedness in networks via conflict-based cohesion
Kenneth S. Berenhaut, Liangdongsheng Lyu, Yuxiao Zhou
In this paper, we introduce a method to measure the extent to which individual ties in a social network contribute to cohesiveness in subgroups through consideration of heterogeneity in local/global connectedness. Employing the concept of (conflict-based) cohesion introduced recently by Berenhaut, Moore and Melvin [Proceedings of the National Academy of Sciences, 119 (4) (2022)], we define a measure of dissipation of cohesion over edges, as well as an accompanying local threshold which distinguishes dissipative from bonded ties. The resulting network of bonded edges can provide structural connectivity information which does not suffer from some typical resolution issues, while the network of dissipative ties can be used to identify regions of network vulnerability and possible fission. Importantly, the method can identify crucial and intermediary independent nodes, which may be informative in social and other settings. Applications to real-world data including two-mode networks are considered.
# ARTICLE 11
Using social network analysis to understand residents’ social connection in a Singapore neighbourhood
Yohei Kato, Francine Chan, Belinda Yuen
Social isolation is an urgent challenge in urban environments worldwide. A widely used strategy is to establish social hubs within local neighbourhoods to promote social connection among residents, especially older adults. Yet little is known about the working and outcome of these social spaces, activities and programmes. The study seeks to address this knowledge gap and examine residents’ participation and membership in social activities and organisations within a public housing neighbourhood in Singapore using survey data (N = 300). Developing a comprehensive understanding of the social and spatial factors that facilitate resident interactions, Exponential Random Graph Models are employed, integrating three spatial mechanisms—spatial propinquity, spatial composition, and spatial configuration—alongside residents’ sociodemographic profiles, self-reported health and well-being, and perceptions of the local environment (e.g. place attachment, walkability). The study found that integrating multiple spatial mechanisms with residents’ characteristics offers deeper insight into local social connectedness. Spatial composition and configuration are stronger predictors of participation and membership than individual traits or proximity. It validates the configurational approach, showing that features like spatial integration and third places shape social interaction patterns. The findings illuminate how specific local organisations function as social hubs, offering guidance for designing community-based interventions while providing tools for evaluating such initiatives.
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《中国社会学学刊》（The Journal of Chinese Sociology）于2014年10月由中国社会科学院社会学研究所创办。作为中国大陆第一本英文社会学学术期刊，JCS致力于为中国社会学者与国外同行的学术交流和合作打造国际一流的学术平台。JCS由全球最大科技期刊出版集团施普林格·自然(Springer Nature)出版发行，由国内外顶尖社会学家组成强大编委会队伍，采用双向匿名评审方式和“开放获取”(open access)出版模式。JCS已于2021年5月被ESCI收录。2022年，JCS的CiteScore分值为2.0（Q2），在社科类别的262种期刊中排名第94位，位列同类期刊前36%。2025年JCS最新影响因子1.3，位列社会学领域期刊全球前53%（Q3）。
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