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The abuse of community detection algorithms may bring the risk of privacy leakage. To protect personal privacy in complex networks, community detection attack algorithms are proposed, which can hide ...
To save time, pip_install.py doesn't install every package for every ABI. Instead, it installs everything for the first ABI, then identifies the non-pure-Python packages and installs only them for ...
Community detection, aiming to group nodes in a graph with strong inner-connection, has attracted increasing research attention. However, existing methods for community detection assume the ...
Keywords: community detection, stochastic block model, hypothesis test, graph dissimilarity, divergence Citation: Xu X-J, Chen C and Mendes JFF (2023) Dissimilarity-based hypothesis testing for ...
An attempt to solve ‘the problem of biased fact-checkers’ has left most Notes unseen by public, fact-checking conference is told.
Most existing local community detection algorithms expand from the given node to a community based on an expansion mechanism that can determine the membership of nodes.
While these are generally treated as separate issues, this study takes an integrative approach and uses community detection output to enable community-level sentiment analysis. Community detection is ...