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Community detection in dynamic social networks: A game-theoretic approach.

, , and . ASONAM, page 101-107. IEEE Computer Society, (2014)

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Hawkes Process for Understanding the Influence of Pathogenic Social Media Accounts., and . ICDIS, page 36-42. IEEE, (2019)Leveraging Motifs to Model the Temporal Dynamics of Diffusion Networks., , and . WWW (Companion Volume), page 1079-1086. ACM, (2019)Exploiting Consistency Theory for Modeling Twitter Hashtag Adoption.. CoRR, (2017)Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning., , , , , and . WSDM, page 34-42. ACM, (2020)An End-to-End Framework to Identify Pathogenic Social Media Accounts on Twitter., , , and . ICDIS, page 128-135. IEEE, (2019)A Game-Theoretic Framework to Identify Top-K Teams in Social Networks., , , and . KDIR, page 252-257. SciTePress, (2012)Detecting Overlapping Communities in Social Networks by Game Theory and Structural Equivalence Concept., , and . AICI (2), volume 7003 of Lecture Notes in Computer Science, page 620-630. Springer, (2011)Understanding Information Flow in Cascades Using Network Motifs., , and . CoRR, (2019)Less is More: Semi-Supervised Causal Inference for Detecting Pathogenic Users in Social Media., , , , and . WWW (Companion Volume), page 154-161. ACM, (2019)Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org., and . PKDD/ECML Workshops, volume 1323 of Communications in Computer and Information Science, page 75-91. Springer, (2020)