This paper introduces the Better Hide Communities (BHC) benchmark dataset, purposefully crafted for gauging the efficacy of current and prospective community deception algorithms. BHC facilitates the evaluation of algorithmic performance in identifying the best set of updates to apply to a network to hide a target community from community detection algorithms. We believe that BHC will help in advancing the development of community deception algorithms and in promoting a deeper understanding of algorithmic capabilities in applying deceptive practices within communities.
Better Hide Communities: Benchmarking Community Deception Algorithms
Fionda, Valeria
2023-01-01
Abstract
This paper introduces the Better Hide Communities (BHC) benchmark dataset, purposefully crafted for gauging the efficacy of current and prospective community deception algorithms. BHC facilitates the evaluation of algorithmic performance in identifying the best set of updates to apply to a network to hide a target community from community detection algorithms. We believe that BHC will help in advancing the development of community deception algorithms and in promoting a deeper understanding of algorithmic capabilities in applying deceptive practices within communities.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.