A benchmark dataset for community deception algorithms

Abstract This paper introduces the Better Hide Communities (BHC) benchmark dataset aimed at standardizing evaluations in community deception across networks. BHC addresses the need for a common framework to assess the effectiveness of existing and perspective deception strategies by enabling their comparative analyses. BHC serves as a foundation for future work in developing sophisticated algorithms for community deception, enhancing the understanding of algorithmic abilities to employ deceptive measures within communities. Additionally, it offers valuable insights into the varying degrees of resilience that different detection algorithms exhibit against deception strategies.