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Factors Influencing the Co-evolution of Social and Content Networks in Online Social Media

机译:影响在线社交媒体社会和内容网络共同演变的因素

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Social media has become an integral part of today's web and allows communities to share content and socialize. Understanding the factors that influence how communities evolve over time - for example how their social network and their content co-evolve - is an issue of both theoretical and practical relevance. This paper sets out to study the temporal co-evolution of microblog messages' content and social networks on Twitter and of forum-messages' content and social networks induced from communication behavior of users from an online forum called Boards.ie and bi-directional influences between them by using multilevel time series regression models. Our findings suggest that social networks have a stronger influence on content networks in our datasets over time than vice versa, and that social network properties, such as Twitters users' in-degree or Boards.ie users' reply behavior, strongly influence how active and informative users are. While our investigations are limited to three small datasets obtained from Twitter and Boards.ie, our analysis opens up a path towards more systematic studies of network co-evolution on social media platforms. Our results are relevant for researchers and community managers interested in understanding how content-related and social behavior of social media users evolve over time and which factors impact their co-evolution.
机译:社交媒体已成为当今网络的一个组成部分,允许社区分享内容和社交活动。了解影响社区随着时间的推移发展的因素 - 例如他们的社交网络和他们的内容共同发展 - 是理论和实际相关性的问题。本文阐述了研究微博消息“在推特上的内容和社交网络和论坛 - 消息”内容和社交网络的时间共同演变,从在线论坛中致电用户的通信行为引发,称为Boards.ie和双向影响通过使用多级时间序列回归模型在它们之间。我们的研究结果表明,社交网络对我们的数据集中的内容网络的影响力更强,而不是反之亦然,并且社交网络属性(例如聊天用户的学位或电路板)的回复行为,强烈影响如何活动和信息用户是。虽然我们的调查仅限于从Twitter和Boards.ie获得的三个小型数据集,但我们的分析开辟了对社交媒体平台上网络共同发展的更系统研究的一条路。我们的结果与有兴趣了解社交媒体用户的内容相关和社会行为如何发展的研究人员和社区经理相关,以及哪些因素影响其共同进化。

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