Understanding Co-evolution of Social and Content Networks on Twitter
نویسندگان
چکیده
Social media has become an integral part of today’s web and allows users to share content and socialize. Understanding the factors that influence how users evolve over time for example how their social network and their contents co-evolve is an issue of both theoretical and practical relevance. This paper sets out to study the temporal co-evolution of content and social networks on Twitter and bi-directional influences between them by using multilevel time series regression models. Our findings suggest that on Twitter social networks have a strong influence on content networks over time, and that social network properties, such as users’ number of followers, strongly influence how active and informative users are. While our investigations are limited to one small dataset obtained from Twitter, our analysis opens up a path towards more systematic studies of network coevolution on platforms such as Twitter or Facebook. Our results are relevant for researchers and social media hosts interested in understanding how content-related and social activities of social media users evolve over time and which factors impact their co-evolution.
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