Social Networks最新文献

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Spatiotemporal analysis of the dynamic evolution and driving factors of trade networks in the Belt and Road countries “一带一路”沿线国家贸易网络动态演化及驱动因素时空分析

IF 2.9 2区社会学 Q1 ANTHROPOLOGY

Social Networks

Pub Date : 2025-04-03 DOI: 10.1016/j.socnet.2025.03.005

Xingxuan Zhuo , Liuqing Lin , Jiefan Lian

As the Belt and Road Initiative (BRI) continues to advance, trade networks among BRI countries have evolved significantly. Understanding development patterns within these trade networks is crucial for promoting further growth. This study adopts a spatiotemporal perspective to analyze the dynamic evolution and driving factors of trade networks among BRI countries, utilizing the Separable Temporal Exponential Random Graph Model (STERGM) and a change point detection model. These methods assess the impact of endogenous structural variables, exogenous edge-level covariates, and exogenous nodal variables on the formation and dissolution of trade networks, as well as on stage-specific changes within these networks. The findings reveal that: (1) around 2017, the trade networks underwent a significant shift, with high-trade-value relationships growing faster than low-trade-value ones, and the networks have a small-world character. (2) China, Turkey, India, and Russia hold central positions in the trade networks, functioning as “bridges” and “hubs”; the prominence of Poland, the Czech Republic, and Ukraine has increased, while Thailand and United Arab Emirates have seen a relative decline; (3) geographical proximity, bilateral investment treaties, and shared legal origins foster trade network development, whereas exchange rate volatility and political distance have a negative impact. Countries with high urbanization, large populations, and strong economies are more likely to form trade relations. And these effects on the formation and maintenance of trade relations changed significantly before and after 2017. Therefore, while enhancing their own economic and social development, BRI countries should work to strengthen trade relations by bridging political differences and establishing trade agreements.

随着 "一带一路 "倡议（BRI）的不断推进，"一带一路 "国家之间的贸易网络也发生了显著变化。了解这些贸易网络的发展模式对于促进进一步发展至关重要。本研究采用时空视角，利用可分离时空指数随机图模型（STERGM）和变化点检测模型，分析金砖国家间贸易网络的动态演化和驱动因素。这些方法评估了内生结构变量、外生边缘级协变量和外生节点变量对贸易网络形成和解体的影响，以及对这些网络内部特定阶段变化的影响。研究结果表明(1）2017 年前后，贸易网络发生了显著变化，高贸易价值关系的增长速度快于低贸易价值关系的增长速度，网络具有小世界特征。(2）中国、土耳其、印度和俄罗斯在贸易网络中占据核心地位，发挥着 "桥梁 "和 "枢纽 "的作用；波兰、捷克和乌克兰的地位有所上升，而泰国和阿联酋的地位相对下降；（3）地理位置接近、双边投资条约和共同的法律渊源促进了贸易网络的发展，而汇率波动和政治距离则产生了负面影响。城市化程度高、人口众多、经济实力雄厚的国家更有可能形成贸易关系。而这些对贸易关系形成和维持的影响在2017年前后发生了显著变化。因此，金砖国家在加强自身经济和社会发展的同时，应努力通过弥合政治分歧和建立贸易协定来加强贸易关系。

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引用次数: 0

Podcasts in the periphery: Tracing guest trajectories in political podcasts 外围播客：追踪政治播客中的嘉宾轨迹

IF 2.9 2区社会学 Q1 ANTHROPOLOGY

Social Networks

Pub Date : 2025-03-27 DOI: 10.1016/j.socnet.2025.03.003

Sydney A. DeMets, Emma S. Spiro

Social networks structure the flow of political information that is critical for civic participation and individual decision making, simultaneously opening and constraining the diffusion of ideas and information. Understanding the current information landscape is pressing given the current salience of false and misleading information. Given the growing prominence of podcasts within the information ecosystem, and the high levels of trust that podcasters enjoy from listeners, it is critical to better understand the role this medium plays in political communication. In this paper, we construct a bipartite network of podcasts and their invited guests. We then generate a network of paths that guests take as they move from one podcast to the next using entailment analysis, and evaluate if guests are typically invited to speak on less prominent shows first, before moving on to more prominent shows. This dynamic has several parallels to Centola’s power of the periphery hypothesis, complimented by the idea that guests may visit progressively more prominent podcasts as they themselves become more visible. We also find that shows aiming to feature a politically diverse set of guests on their own shows play an outsize role in brokering the movement of guests between liberal and conservative shows, although this cross-boundary brokerage has equivocal outcomes.

社会网络构建了政治信息的流动，这对公民参与和个人决策至关重要，同时也开放和限制了思想和信息的传播。鉴于当前虚假和误导性信息的突出性，理解当前的信息景观是紧迫的。鉴于播客在信息生态系统中日益突出，以及听众对播客的高度信任，更好地理解这种媒介在政治传播中所起的作用至关重要。在本文中，我们构建了一个播客及其邀请嘉宾的二部网络。然后，我们使用蕴涵分析，生成一个嘉宾从一个播客转到下一个播客的路径网络，并评估嘉宾是否首先被邀请在不太突出的节目上发言，然后再转到更突出的节目上。这种动态与森托拉的外围假说的力量有几个相似之处，他补充说，随着客人们自己变得越来越显眼，他们可能会逐渐访问更著名的播客。我们还发现，旨在在自己的节目中展示政治多元化嘉宾的节目，在促成嘉宾在自由派和保守派节目之间的流动方面发挥了巨大的作用，尽管这种跨界中介的结果模棱两可。

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引用次数: 0

Differences in perceived social connection help explain SES-based gaps in well-being 感知社会联系的差异有助于解释基于ses的幸福感差距

IF 2.9 2区社会学 Q1 ANTHROPOLOGY

Social Networks

Pub Date : 2025-03-23 DOI: 10.1016/j.socnet.2025.03.004

Wicia M. Fang , Andrea Courtney , Matthew O. Jackson , Jamil Zaki

Low socioeconomic status (SES) undergraduates are often worse off in well-being than high-SES peers. These “well-being gaps” lessen when low-SES students self-report being socially connected; however, one’s perception of their own connectedness in a network differs from external proxies. Within a network of 785 undergraduates, we examine two social network measures of connection—self-reported number of friends (outdegree) and number of undergraduate peers who reported them as a friend (indegree). Low- (vs. high-) SES students have a lower outdegree yet have a similar indegree. Critically, low-SES students who report a lower outdegree are also poorer in well-being, even when controlling for indegree, though the effect is small. This work underlines the perception of connection.

社会经济地位低的大学生往往比社会经济地位高的同龄人的幸福感更差。当社会经济地位低的学生自我报告有社会联系时，这些“幸福感差距”会减少；然而，一个人对自己在网络中的连通性的感知不同于外部代理。在一个由785名本科生组成的网络中，我们研究了两种社会网络连接的测量方法——自我报告的朋友数量（学历）和报告他们是朋友的本科生同伴数量（学历）。低（与高）社会经济地位的学生有较低的学历，但有相似的程度。至关重要的是，即使在控制程度的情况下，报告学历较低的低社会经济地位学生的幸福感也较差，尽管影响很小。这项工作强调了联系的感知。

引用次数: 0

Identifying stages in the lifespan of dynamic groups 确定动态群体生命周期的各个阶段

IF 2.9 2区社会学 Q1 ANTHROPOLOGY

Social Networks

Pub Date : 2025-03-18 DOI: 10.1016/j.socnet.2025.03.002

Raji Ghawi, Jürgen Pfeffer

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 Growth Rate, Churn, and Revitalization, 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.

动态群体的特点是其成员不断演变，在理解群体行为和表现方面提出了独特的挑战。传统模型往往忽略了群体构成的流动性，而是关注静态成员。在本文中，我们引入了一个全面的框架来实证测量和分析群体组成随时间的变化，为群体动力学提供了新的见解。我们提出了关键指标，包括增长率，流失率和振兴，量化成员在群体内外的运动。此外，我们定义了群体发展的不同阶段，如有机生长、动态生长、流体稳定性和侵蚀，这些阶段捕捉了群体组成的演变本质。提出了一种数据驱动的方法来系统地识别群体生命周期中的这些阶段。作为一个案例研究，我们将我们的方法应用于大型多人在线游戏《Travian》的数据集，该数据集涉及近900个联盟和超过17,000名玩家，揭示了群体进化的共同模式以及在增长和衰退之间的频繁转换。我们的研究结果强调了理解群体阶段的价值，为在各种组织环境中管理动态群体提供了实际意义。

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引用次数: 0

Friends forever? Correlates of high school friendship (in)stability from adolescence to young adulthood 永远的朋友？从青春期到青年期高中友谊（不）稳定的相关因素

IF 2.9 2区社会学 Q1 ANTHROPOLOGY

Social Networks

Pub Date : 2025-03-17 DOI: 10.1016/j.socnet.2025.02.002

Cassie McMillan , Kaley A. Jones , Wade C. Jacobsen , Nayan G. Ramirez , Mark E. Feinberg

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.

虽然友谊不稳定在青春期和青年期很常见，但经历高比率的关系周转率与负面的健康结果和较低的受教育程度有关。目前，我们对友谊不稳定的比率和相关因素是否会在过渡到青年时期发生变化知之甚少，尽管这一时期的特点是发生重大的生活事件，如高中毕业。利用PROSPER研究中新的独特的网络数据，我们通过跟踪大约2000名受访者从高中开始到毕业后一年的亲密友谊轨迹来解决这一差距。结果表明，高中毕业后友谊的破裂是很常见的，只有35% %的受访者在高中高年级的友谊在一年后保持完整。相似的物质使用史在激发高中后的友谊持久性方面比在青春期更有影响力，而共同的社会人口特征的作用在不同的发展时期没有变化。高中毕业后，年轻人也更有可能与以前也有这种关系的同龄人保持友谊，并报告有共同的朋友。我们的研究结果强调了友谊的动态变化是如何在成年初期以影响行为轨迹和生活结果的方式发生的。

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引用次数: 0

Investigating the dynamics of yakuza violence using multilevel network analysis 利用多层次网络分析调查黑帮暴力的动态

IF 2.9 2区社会学 Q1 ANTHROPOLOGY

Social Networks

Pub Date : 2025-03-11 DOI: 10.1016/j.socnet.2025.03.001

Niles Breuer, Martina Baradel

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.

本文利用2014年至2019年日本各地黑帮之间冲突的新数据集，研究了日本黑帮的结构以及当地黑帮之间的暴力模式。我们定义了新的多层时间互易测度，并应用多层指数随机图模型来研究黑帮暴力的结构。我们发现报复程度较低，复杂的“级联”冲突结构，而且黑帮集团是一个有凝聚力的组织，可以约束其成员团体的行动。这项研究有助于了解日本黑帮的结构以及有组织犯罪集团内部暴力冲突的发生方式。

引用次数: 0

From warnings to bans: The role of social networks in the severity of sanctions 从警告到禁令：社交网络在严厉制裁中的作用

IF 2.9 2区社会学 Q1 ANTHROPOLOGY

Social Networks

Pub Date : 2025-02-14 DOI: 10.1016/j.socnet.2025.02.001

Mélina Girard, David Décary-Hétu

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.

本研究考察了社交网络对在线黑客论坛制裁严重程度的影响，使用了一个包含私人互动、声誉点和行政行为的泄露数据集。运用社会认同理论、权力结构和社会资本的概念对社会网络进行分析，我们发现那些滥发垃圾邮件、与管理员缺乏双向关系、整合程度和影响力较低的成员更容易被封禁而不是警告。我们的研究结果强调了社会关系和个人行为在决定制裁方面的重要作用，为非法在线社区的动态提供了新的见解。

引用次数: 0

Digital communication and tie formation amongst freshmen students during and after the pandemic 大流行期间和之后新生之间的数字通信和关系形成

IF 2.9 2区社会学 Q1 ANTHROPOLOGY

Social Networks

Pub Date : 2025-01-10 DOI: 10.1016/j.socnet.2024.12.002

Judith Gilsbach , Johannes Stauder

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.

本研究考察了新冠疫情期间和之后社会学大一新生的网络演变，作为数字化传播影响的自然实验。第一个被调查的队列（N = 42）于2020年10月在封锁期间开始学习，当时所有课程都是在线授课（封锁队列）。第二批（N = 66）开始于一年后，当时封锁措施部分解除，大部分课程采用混合模式（混合队列）。我们使用随机因子导向模型（SAOM）进行模型估计；由于参与者不响应而导致的缺失关系使用基于saom的过程进行多重估算。研究结果表明：(1)封锁队列学生之间的网络发展速度较慢，在第一学期结束时密度较低；(2)封锁队列中三合一封闭的概率显著低于混合队列；(3)在两个队列中，如果学生共享班级，他们更倾向于认识，但(4)共享班级对封锁期间的关系形成更重要。我们的结论是，数字通信将减少结交新朋友和新朋友的机会。

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引用次数: 0

Corrigendum to “Impact of methods for reducing respondent burden on personal network structural measures” [Soc. Netw. 29 (2007) 300–315] “减轻被访者负担的方法对个人网络结构措施的影响”的更正[Soc]。Netw. 29 (2007) 300-315]

IF 2.9 2区社会学 Q1 ANTHROPOLOGY

Social Networks

Pub Date : 2024-12-19 DOI: 10.1016/j.socnet.2024.12.001

Christopher McCarty , Peter D. Killworth

引用次数: 0

Revising the Borgatti-Everett core-periphery model: Inter-categorical density blocks and partially connected cores 对Borgatti-Everett核心-外围模型的修正：分类间密度块和部分连通核心

IF 2.9 2区社会学 Q1 ANTHROPOLOGY

Social Networks

Pub Date : 2024-12-16 DOI: 10.1016/j.socnet.2024.11.002

José Luis Estévez , Carl Nordlund

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.

Borgatti和Everett的模型（2000）仍然是识别经验网络中分类核心-外围结构的主流标准，但这种方法存在两个重大问题。第一个问题涉及处理类别间联系——那些连接核心和外围行为者的联系。第二个问题是该模型将理想核心定义为一个完整的区块或集团，这在实际应用中可能过于严格。基于直接块建模的进步，我们提出了一些修改来解决这些缺点。为了更好地处理分类间的联系，我们用基于精确和最小密度块的方法取代了传统的细胞相关方法。为了放松完全连接核心的约束，我们引入了p-核心，这是k-核心/k-plex内聚子群的比例适应，在定义核心成员所需的内聚水平方面提供了更大的灵活性。我们使用经典网络示例和合成网络来说明这些增强的优点。

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