指数随机图模型
同性恋
难民
难民危机
利益相关者
公共关系
众包
政治学
社会化媒体
社会网络分析
政府(语言学)
社会学
随机图
社会科学
计算机科学
图形
理论计算机科学
哲学
法学
语言学
作者
Jingyi Sun,Aimei Yang,Adam J. Saffer
标识
DOI:10.1177/08997640211057407
摘要
Nongovernmental organizations (NGOs) increasingly utilize social media for strategic stakeholder engagement. This study proposes a network-oriented theoretical framework to understand how NGOs’ engagement with complex networks of stakeholders on the global refugee issue varies as the issue moves from low to high public attention stages. We draw from research on multistakeholder issue networks and issue niche theory and analyze a large-scale Twitter data set containing tweets from hundreds of organizations from more than 30 countries. This cross-national, longitudinal study tracks issue evolution and NGOs’ tie formation patterns among themselves and with complex stakeholders (i.e., government and media) as public attention to the refugee issue increases. The results of our exponential random graph models (ERGMs) show how cross-sector stakeholders interact dynamically and how different issue identities position NGOs uniquely in issue niches as the issue evolves. We also find that organizations’ country-level homophily influences tie formation. Theoretical and practical implications are discussed.
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