Unsupervised Scalable Statistical Method for Identifying Influential Users in Online Social Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-018-24874-2.pdf
Reference29 articles.
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2. de Arruda, G. F. et al. Role of centrality for the identification of influential spreaders in complex networks. Physical Review E 90, 032812 (2014).
3. Kitsak, M. et al. Identification of influential spreaders in complex networks. Nature physics 6, 888–893 (2010).
4. Morone, F. & Makse, H. A. Influence maximization in complex networks through optimal percolation. Nature 524, 65–68 (2015).
5. Kempe, D., Kleinberg, J. M. & Tardos, É. Maximizing the spread of influence through a social network. Theory of Computing 11, 105–147, https://doi.org/10.4086/toc.2015.v011a004 (2015).
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