Combines global and local features for better social circle prediction in ego-networks.
arXiv research
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Study compares investor networks and cellphone communication networks to analyze layer structures.
This work proposes multiple node representations for graphs, improving link prediction and community analysis.
This research investigated the potential for improving Peer-to-Peer (P2P) credit scoring by using "private information" about communications and travels of borrowers. We found that P2P borrowers' ego networks exhibit scale-free behavior driven by underlying preferential attachment mechanisms that connect borrowers in a…
Validates conformal prediction for network data under non-uniform sampling.
Mixed-SCORE+ improves community detection in weak signal networks.
Proposes a novel tensor-based approach for multi-level link prediction.
In online discussion communities, users can interact and share information and opinions on a wide variety of topics. However, some users may create multiple identities, or sockpuppets, and engage in undesired behavior by deceiving others or manipulating discussions. In this work, we study sockpuppetry across nine discu…