Social Networks最新文献_第5页

Who’s in your extended network? Analysing the size and homogeneity of acquaintanceship networks in the Netherlands 谁在你的扩展网络中？分析荷兰熟人网络的规模和同质性

IF 2.9 2区社会学 Q1 ANTHROPOLOGY

Social Networks

Pub Date : 2025-06-27 DOI: 10.1016/j.socnet.2025.05.007

Beate Völker , Bas Hofstra , Rense Corten , Frank van Tubergen

This study advances the understanding of the size and homogeneity of personal networks, focusing on extended networks that encompass both core discussion ties and the broader array of acquaintances. While previous research has primarily examined these dimensions within small, strong-tie networks, knowledge about extended networks remains limited. Using data from the Dutch Network Size Survey (2021), a representative survey of the Dutch adult population, this study provides novel insights into the size, gender, and educational homogeneity of extended networks, as well as individual variation across these dimensions. Employing the Network Scale-Up Method (NSUM) with an extensive set of scale-up items, we find a median extended network size of 446 and a mean size of 518. Substantial variation exists across individuals, with larger networks associated with being employed, having more household members, being younger, possessing greater resources (e.g., income, wealth), and attaining higher levels of education. Additionally, our findings reveal significant gender and educational segregation within extended networks. These results shed light on the structure of extended networks and highlight the social stratification of network size and homogeneity.

本研究推进了对个人网络规模和同质性的理解，重点关注涵盖核心讨论关系和更广泛的熟人的扩展网络。虽然以前的研究主要是在小的、强联系的网络中检查这些维度，但对扩展网络的了解仍然有限。使用荷兰网络规模调查（2021）的数据，这是一项对荷兰成年人口的代表性调查，本研究为扩展网络的规模、性别和教育同质性以及这些维度上的个体差异提供了新的见解。采用网络放大方法（NSUM）和一组广泛的放大项目，我们发现中位数扩展网络大小为446，平均大小为518。个体之间存在着实质性的差异，更大的网络与就业、拥有更多家庭成员、更年轻、拥有更多资源（如收入、财富）和获得更高水平的教育有关。此外，我们的研究结果揭示了在扩展的网络中存在显著的性别和教育隔离。这些结果揭示了扩展网络的结构，并突出了网络规模和同质性的社会分层。

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引用次数: 0

Modeling the duality of content niches and user interactions on online social media platforms 对在线社交媒体平台上的内容利基和用户交互的二元性进行建模

IF 2.9 2区社会学 Q1 ANTHROPOLOGY

Social Networks

Pub Date : 2025-06-26 DOI: 10.1016/j.socnet.2025.05.001

Alvaro Uzaheta , Viviana Amati , Christoph Stadtfeld

Individuals use online social media platforms for social interaction and to create, consume and share creative content. Within large platforms, individuals’ interaction with content and the congregation of individuals sharing similar interests might have a dual relationship, leading to the emergence of focused content niches of specific individuals and types of content. These niches are smaller-scale social settings that may facilitate and structure interpersonal social interaction. This study introduces a novel two-step analytical framework to explore the influence of content niche affiliation on interaction patterns. In the first step, we employ Stochastic Block Models (SBMs) to analyze a two-mode network comprising content pieces and user-generated keywords assigned to them. This analysis uncovers distinct content niches where users can engage with one another. In the second step, We integrate these identified niches as independent variables within a Dynamic Network Actor Model (DyNAM) to investigate whether time-stamped user interaction dynamics are associated with these content niches. We illustrate the framework’s applicability through a case study of an online community catering to aspiring and professional designers, revealing the relationship between content niche affiliation and social interactions.

个人使用在线社交媒体平台进行社交互动，创造、消费和分享创意内容。在大型平台中，个人与内容的互动和具有相似兴趣的个人的聚集可能具有双重关系，从而导致特定个人和内容类型的集中内容利基的出现。这些小生境是规模较小的社会环境，可以促进和组织人际社会互动。本研究引入一个新的两步分析框架来探讨内容生态位隶属关系对互动模式的影响。在第一步中，我们使用随机块模型（sbm）来分析由内容片段和分配给它们的用户生成关键字组成的双模式网络。这种分析揭示了不同的内容利基，用户可以在其中相互交流。在第二步中，我们将这些确定的利基作为动态网络参与者模型（dynamam）中的独立变量集成，以调查时间戳用户交互动态是否与这些内容利基相关联。我们通过一个在线社区的案例研究来说明该框架的适用性，该社区迎合了有抱负和专业的设计师，揭示了内容利基隶属关系和社会互动之间的关系。

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引用次数: 0

The Correspondence Analysis of two-mode networks revisited 再论双模网络的对应分析

IF 2.9 2区社会学 Q1 ANTHROPOLOGY

Social Networks

Pub Date : 2025-06-25 DOI: 10.1016/j.socnet.2025.06.001

Omar Lizardo

This paper reconsiders the status of Correspondence Analysis (CA) as a tool for analyzing two-mode networks, comparing it with the Bonacich dual centrality approach and revealing the mathematical linkages between them as eigenvector-based methods. While Bonacich centrality identifies core–periphery structures and is helpful for clustering nodes based on the criterion of similarity via structural equivalence, CA is best at detecting subsets of actors and events based on a generalized relational similarity criterion, thus coming closer to clustering via regular equivalence. Ultimately, both CA and Bonacich centrality prove to be valuable yet distinct strategies for the dual projection analysis of two-mode networks, highlighting the duality between actors and events.

本文重新考虑了对应分析（CA）作为分析双模网络的工具的地位，将其与Bonacich对偶中心性方法进行了比较，并揭示了它们之间作为基于特征向量的方法的数学联系。虽然Bonacich中心性识别核心-外围结构，并有助于基于结构等效的相似性标准聚类节点，但CA最擅长基于广义关系相似性标准检测参与者和事件的子集，从而更接近通过规则等效聚类。最终，CA和Bonacich中心性都被证明是有价值的，但对于双模式网络的双投影分析来说是不同的策略，突出了行动者和事件之间的二元性。

引用次数: 0

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 Q1 ANTHROPOLOGY

Social Networks

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

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

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.

谁是管理当地社区环境的团体？他们在哪里工作？他们和谁一起工作？管理测绘和评估项目（STEW-MAP）调查已经对美国和世界各地几十个城市的环境管理团体进行了编目和测绘。该调查收集了受访者及其合作者之间的关系和网络联系。在本研究中，我们将重点放在2019年马里兰州巴尔的摩市的调查上，以更好地了解整个城市环境管理组织之间的关系。我们利用指数随机图模型（ergm）来探索预测三种不同类型关系形成的因素：协作、资源共享和知识共享。该网络包括1201个节点，节点总数为2884条。我们的研究结果表明，每种领带类型的网络结构都是独特的，但度分布有正偏斜的共同趋势，表明存在许多低度节点。我们还发现，这些组织的主要关注点和组织类型在其行为上产生了实质性的变化；由于一些小组被孤立，而另一些小组未得到充分利用，有一组小组设法渗透到所有三个网络中：以雨水为重点的小组。这项研究是第一个分析这个特定数据集的研究，也是少数几个使用网络模型分析通过STEW-MAP项目收集的数据的研究之一。这项工作帮助我们了解塑造巴尔的摩管理网络的社会力量，同时指出从业者可能扩大其影响范围的方法。总的来说，这项工作有助于拓宽我们对现代城市背景下地方环境合作的理解。

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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 Q1 ANTHROPOLOGY

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

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.

组织内网络动力学的研究发展了一种结构方法来研究组织中的包容概念。这种方法是对包容性定义的补充，即对不同社会环境中经历的社会心理反应。我们分析了大量学生的长期互动网络，并评估了两种干预措施——团队合作和使用社交网络服务（SNS）——在多大程度上增长和多样化了他们的社会资本。我们利用518名大学生在96个团队中参与社交网络前后收集的网络数据，分析了新的桥接社会资本（人口统计学上不同的人之间的联系）和新的粘合社会资本（人口统计学上相似的人之间的联系）的形成。团队成员对社会资本有很大的影响，创造了积极的联系和桥梁关系。但团队也会产生负面关系。社交网络促进了关系的形成，但没有造成负面关系。这两项干预措施共同扩大了网络，改变了关系的平衡，有利于弥合关系，产生了一个结构上更具包容性的网络。我们的研究展示了如何利用有意识的实践来提高网络包容性，以及通过组织内部网络动态的视角来看待多样性和包容性的价值。

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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 Q1 ANTHROPOLOGY

Social Networks

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

Tom A.B. Snijders , Beata Łopaciuk-Gonczaryk

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.

提出了双模网络随机因子导向模型的三种扩展。第一个表示基于代理的两个节点集的变化。第二个模型是两个双模式网络共同进化中的选择和影响模型，其中第一个是成员网络，用于表示在第二个网络中选择活动的群体之间的联系。第三种是对分类节点协变量的新效应，代表双模式网络中经常出现的节点之间的异质性。为了说明这一点，我们研究了2018年至2022年期间141家大型欧洲公司的董事联锁网络和这些公司的双模式环境政策网络的共同演化过程。环境政策之间的相似性表现为两种方式：认可相同的政策项目，以及认可项目数量之间的相关性。研究结果表明，公开的环保实践通过董事会连锁传播，董事的选择基于同行推荐。

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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 Q1 ANTHROPOLOGY

Social Networks

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

Derick S. Baum

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.

关于个体与群体的联系的总体关系数据（ARD）为个人网络的规模以及与这些群体接触的隔离程度提供了有价值的见解。然而，现有的ARD模型面临两个关键的限制。首先，它们掩盖了个体之间网络大小的异质性，尽管个体在ARD仪器上表现出相似的反应模式，但在相关特征上可能存在显著差异。其次，虽然现有的模型可以衡量与群体接触时的总体隔离程度，但它们无法揭示隔离的决定因素。为了解决这些限制，我们引入了协变量模型，这是一个基于回归的框架，将被调查者协变量纳入ARD分析。我们用与职业类别接触的ARD来说明这个模型。除了获得比现有方法更可信的网络规模估计外，协变量模型还揭示了新的隔离模式。例如，主要由教育差异驱动的协变量在与高级服务职业（如律师和教授）接触时的隔离中占相当大的一部分，但对解释与其他职业阶层互动的障碍贡献不大。通过对熟人网络中接触模式的决定因素进行建模，协变量模型扩展了ARD的分析范围，并为社会资本和隔离的研究开辟了新的途径。

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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 Q1 ANTHROPOLOGY

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

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 (M_age = 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.

欺凌是一种复杂的社会结构，告密者（如欺凌者、受害者和同伴观察者）可能对欺凌-受害者关系有不同的看法。本研究利用从印尼13所小学的438名五年级学生（年龄11.19岁，46% 为女生）中获得的网络数据，考察了被调查者的观点是如何不同的。使用交叉信息提供者框架，我们调查了自我和同伴报告的欺凌受害者关系如何作为欺凌者和受害者性别，友谊关系和关系图式（即心理网络启发式）的函数重叠。多重指数随机图模型的结果揭示了自我报告和同行报告之间的显著一致性。当欺凌受害者发生在非朋友之间时，一致性更高。当自我报告和同伴报告不一致时，同伴们发现男孩比女孩更多地参与欺凌，异性比同性更容易成为欺凌的受害者。自我报告更容易确定朋友之间的关系，而不是非朋友之间的关系。事后分析显示，恶霸和他们的朋友对友谊的看法经常是矛盾的。此外，与自我报告相比，同伴报告的每个欺凌者的受害者更多，每个受害者的欺凌者更少。这些发现有助于理解欺凌受害者感知的网络结构，并为识别欺凌受害者关系提供实际意义。

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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 Q1 ANTHROPOLOGY

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

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.

聚合的关系数据通常与扩展方法结合使用来测量网络大小。在这种方法中，受访者报告在已知规模的亚群体中认识的人数按比例增加，以估计其个人网络的规模。由于这种方法对报告错误很敏感，研究人员经常对已知大小的子种群进行顶码响应，尽管在如何选择顶码值方面没有达成共识。在这里，我们比较了几种顶部编码方法，包括利用邓巴数的新方法，使用了从两个汇总关系数据调查收集的数据集，一个来自上海，一个来自塞拉利昂的坎比亚。我们采用三个指标来评估顶编码策略：估计已知大小的子种群的平均错误率，估计目标种群的错误率和程度均值。我们发现，在两个数据集中，顶编码策略在估计已知大小的子种群方面都表现得同样好。然而，基于邓巴数字的策略在估计坎比亚目标人口方面比其他策略表现更好。此外，邓巴数方法在两个数据集中产生了更小的程度均值。我们从整体上考察了这些发现，并为研究人员如何处理顶编码决策提供了建议。我们最终得出的结论是，顶编码没有一个放之万用的解决方案，研究人员应该系统地检查数据中的关键指标，以确定顶编码是否必要，如果有的话，什么顶编码策略是合适的。

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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 Q1 ANTHROPOLOGY

Social Networks

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

Anton Grau Larsen , Jacob Aagaard Lunding , Christoph Houman Ellersgaard

By extending Breiger’s (1974) notion of the duality of persons and groups to biographical data, individuals and organisations can be linked through career overlaps, formalised as k-circles, a minimal members decomposition approach. This k-circle measure is used to identify key individuals and organisations in biographies of more than 30,000 Danish elites between 1910 and 2020. We compare the central circle based on CV data to an elite identified through affiliation networks, showing that k-circles identify career hubs rather than the meeting points of elites. We discuss how k-circles are associated with standard measures of centrality.

通过将Breiger（1974）关于个人和群体二元性的概念扩展到传记数据，个人和组织可以通过职业重叠联系起来，形式化为k圈，这是一种最小成员分解方法。这种k圈测量方法用于识别1910年至2020年间超过3万名丹麦精英传记中的关键人物和组织。我们将基于简历数据的中心圈与通过隶属关系网络确定的精英进行了比较，结果表明，k-圈确定的是职业中心，而不是精英的交汇点。我们讨论k圆如何与中心性的标准度量相关联。

引用次数: 0