arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1111.5595physics.soc-phcs.SI

通过在线网络进行抗议招募的动态

The Dynamics of Protest Recruitment through an Online Network

Sandra Gonzalez-Bailon, Javier Borge-Holthoefer, Alejandro Rivero, Yamir Moreno

AI总结:

基于2011年5月西班牙抗议期间的Twitter数据,研究招募网络中的社会影响与复杂传染,比较早期参与者和信息传播者的网络位置,并实证检验集体行动模型。

摘要:

近期阿拉伯世界及西方国家的动员浪潮引发了关于数字媒体如何与抗议扩散相联系的大量讨论。我们利用2011年5月西班牙发生的动员激增事件的数据来考察这种联系。我们研究了Twitter网络中的招募模式,并发现了社会影响和复杂传染的证据。我们识别了早期参与者(即招募过程的领导者)以及充当消息级联种子的用户(即信息传播者)的网络位置。我们发现,早期参与者无法以典型的拓扑位置来表征,但传播者往往在网络中更处于中心位置。这些发现揭示了在线网络、社会传染和集体动态之间的联系,并为集体行动形式化模型中理论化的招募机制提供了实证检验。

英文摘要:

The recent wave of mobilizations in the Arab world and across Western countries has generated much discussion on how digital media is connected to the diffusion of protests. We examine that connection using data from the surge of mobilizations that took place in Spain in May 2011. We study recruitment patterns in the Twitter network and find evidence of social influence and complex contagion. We identify the network position of early participants (i.e. the leaders of the recruitment process) and of the users who acted as seeds of message cascades (i.e. the spreaders of information). We find that early participants cannot be characterized by a typical topological position but spreaders tend to me more central to the network. These findings shed light on the connection between online networks, social contagion, and collective dynamics, and offer an empirical test to the recruitment mechanisms theorized in formal models of collective action.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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