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Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
Zakariya Ghalmane1, Chantal Cherifi2, Hocine Cherifi3
1LRIT, URAC No 29, Rabat IT Center, University Mohammed V, Rabat, Morocco. zakaria.ghalmane@gmail.com.
Identifying influential spreaders in networks is crucial for epidemic control and information diffusion. Overlapping Modular Centrality effectively measures node influence in complex networks with overlapping communities, outperforming existing methods.
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