Abstract
In this paper, we present a new metric to measure the influence a user has on an online social network. We define this influence as a 2D coordinate, comprising the user’s local influence on their immediate followers, and their global influence on the entire network. We present the general idea underlying our metrics, and demonstrate their usefulness by applying them over 300 Twitter users. Our results show how the metrics can model and predict different classes of users in 2D space.
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Zong, S., Khoury, R., Benlamri, R. (2017). Local and Global Influence on Twitter. In: Mouhoub, M., Langlais, P. (eds) Advances in Artificial Intelligence. Canadian AI 2017. Lecture Notes in Computer Science(), vol 10233. Springer, Cham. https://doi.org/10.1007/978-3-319-57351-9_5
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DOI: https://doi.org/10.1007/978-3-319-57351-9_5
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