The Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
The Social and Cognitive Informatics Laboratory, National Research University Higher School of Economics, Saint Petersburg, Russia.
PLoS One. 2020 Apr 23;15(4):e0231837. doi: 10.1371/journal.pone.0231837. eCollection 2020.
The use of social network sites helps people to make and maintain social ties accumulating social capital, which is increasingly important for individual success. There is a wide variation in the amount and structure of online ties, and to some extent this variation is contingent on specific online user behaviors which are to date under-researched. In this work, we examine an entire city-bounded friendship network (N = 194,601) extracted from VK social network site to explore how specific online user behaviors are related to structural social capital in a network of geographically proximate ties. Social network analysis was used to evaluate individual social capital as a network asset, and multiple regression analysis-to determine and estimate the effects of online user behaviors on social capital. The analysis reveals that the graph is both clustered and highly centralized which suggests the presence of a hierarchical structure: a set of sub-communities united by city-level hubs. Against this background, membership in more online groups is positively associated with user's brokerage in the location-bounded network. Additionally, the share of local friends, the number of received likes and the duration of SNS use are associated with social capital indicators. This contributes to the literature on the formation of online social capital, examined at the level of a large and geographically localized population.
社交网站的使用有助于人们建立和维持社会关系,积累社会资本,这对个人的成功越来越重要。在线联系的数量和结构存在很大差异,在某种程度上,这种差异取决于特定的在线用户行为,而这些行为迄今为止研究得还不够充分。在这项工作中,我们检查了从 VK 社交网站提取的整个城市边界的友谊网络(N=194601),以探讨特定的在线用户行为如何与地理上接近的联系网络中的结构社会资本相关。社会网络分析被用来评估个人的社会资本作为网络资产,多元回归分析则用来确定和估计在线用户行为对社会资本的影响。分析表明,该图既具有聚类性又高度集中,这表明存在一种分层结构:由城市级枢纽统一的一组子社区。在此背景下,加入更多的在线群组与用户在本地网络中的中介作用呈正相关。此外,本地朋友的比例、收到的赞的数量和 SNS 使用的持续时间与社会资本指标相关。这有助于研究在大规模和地理本地化的人群中在线社会资本的形成。