透视图(图形)
社会化媒体
利基
指数随机图模型
计算机科学
实证研究
随机图
优先依附
社交网络(社会语言学)
间断平衡
社会学
图形
理论计算机科学
万维网
复杂网络
认识论
人工智能
进化生物学
生物
生态学
哲学
标识
DOI:10.1177/1461444821993048
摘要
This study examines the evolution of social networking sites (SNSs) from a networked audience duplication perspective. Guided by social network theory, the theory of double jeopardy, and niche theory, this study proposes an integrated framework to explain the evolution of SNS choices of the US audience between 2016 and 2019. Shared traffic data were retrieved from comScore’s Media Metrix Multi-Platform database. The empirical results of the separable temporal exponential random graph model (STERGM) confirm that preferential attachment, audience size, and niche width significantly drive the likelihood of tie formation and dissolution in the evolving audience duplication network. These effects hold true even when other endogenous structural features and exogenous nodal attributes are taken into account. Theoretical implications for the networked media landscape are discussed.
科研通智能强力驱动
Strongly Powered by AbleSci AI