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Íntegro: Leveraging victim prediction for robust fake account detection in large scale OSNs
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Collective dynamics of ‘small-world’ networks
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Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1145/1007352.1007372openalex-snapshot
Nearly-linear time algorithms for graph partitioning, graph sparsification, and solving linear systems
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Sybil defenses via social networks
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Suspended accounts in retrospect
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Key Challenges in Defending Against Malicious Socialbots
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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