在线社区和社会网络结构

Y. Wei, Wensi Zhang, Sha Yang, Xi Chen
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引用次数: 2

摘要

本文旨在了解网络社区对网络结构的影响及其营销含义。为了解释社区不是外生形成的这一事实,我们建模并估计了它们如何与友谊网络共同进化。我们通过模拟个体的潜在位置和相似性来控制未观察到的异质性和同质性。利用一款全球性大型多人在线游戏的数据,我们发现个体的友谊形成决策和社区成员决策是相互强化的。此外,模型仿真表明,在某些情况下,网络社区不仅可以促进社区内的联系,还可以促进跨社区的联系。在这里,一个重要的调节因素是社区粘性,这是由一个人在社区中的朋友数量对她留在该社区(而不是切换到不同的社区)的可能性的积极影响所捕获的。正如我们的模拟扩散练习所显示的那样,只有适度粘性的社区系统才能促进跨社区联系,从而提高信息的可及性。这种洞察力有助于社交平台更有效地管理在线社区,从而提高社交网络的营销价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Online Communities and Social Network Structure
This paper aims to understand the effects of online communities on the network structure and their marketing implications. To account for the fact that communities are not formed exogenously, we model and estimate how they co-evolve with the friendship network. We control for unobserved heterogeneity and homophily by modeling individuals’ latent positions and similarities. Using data from a worldwide Massively Multiplayer Online (MMO) Game, we find that individuals’ friendship formation decision and community membership decision reinforce each other. Moreover, model simulation reveals that, under some circumstances, online communities may promote not only within-community ties but also cross-community ties. Here, one important moderating factor is the community stickiness, which is captured by the positive effects of an individual’s number of friends in a community on her probability of staying in that community (instead of switching to a different community). As shown by our simulated diffusion exercises, only a moderately sticky community system promotes cross-community ties and consequently improves information reach. This insight helps social platforms manage online communities more effectively to improve the marketing value of social networks.
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