Abstract
Web-based Social Networks (W-bSN) have experienced a significant raise in terms of users, as well as the number of relationships among them. One crucial factor for this is the level of influence that a given user can have on other users, and how relationships emerge and disappear among users given the interest generated in a certain community by the posted commentaries. Twitter is the clearest case of W-bSN in which the relevance of the commentaries posted influences the way users create new relationships. In this paper, we analyze the cross influence among users, based on their area of interest, and the messages they post, and how relevant are these messages in the creation of new relationships.
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Díaz-Beristain, Y.A., Hoyos-Rivera, GdJ., Cruz-Ramírez, N. (2017). Retweet Influence on User Popularity Over Time: An Empirical Study. In: Prasath, R., Gelbukh, A. (eds) Mining Intelligence and Knowledge Exploration. MIKE 2016. Lecture Notes in Computer Science(), vol 10089. Springer, Cham. https://doi.org/10.1007/978-3-319-58130-9_4
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DOI: https://doi.org/10.1007/978-3-319-58130-9_4
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