Abstract
In popular online social networks, there are various kinds of user behavior (e.g. retweeting, posting hashtags on Twitter; wall-posting, commenting on Facebook). At the same time there exist different kinds of relationships among users (e.g. follow relationship or mention relationship in Twitter). It is interesting to study how these relationships affect users’ behaviors. Current literature already pointed out that the follow relationship is an insufficient metrics for users’ interaction level. Thus, in this work we compare mention against follow relationship in several aspects, especially in terms of their correlations with hashtag usage of users. We propose a rigorous way to perform significance test for the correlations. Our results show that using mention can be a better alternative as it can provide stronger correlation to users’ behavior with a smaller cost of obtaining data.
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Luu, MD., Thomas, A.C. (2015). Beyond Mere Following: Mention Network, a Better Alternative for Researching User Interaction and Behavior. In: Agarwal, N., Xu, K., Osgood, N. (eds) Social Computing, Behavioral-Cultural Modeling, and Prediction. SBP 2015. Lecture Notes in Computer Science(), vol 9021. Springer, Cham. https://doi.org/10.1007/978-3-319-16268-3_44
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DOI: https://doi.org/10.1007/978-3-319-16268-3_44
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