A benchmark dataset for community deception algorithms-Reference-Cited by-同舟云学术

A benchmark dataset for community deception algorithms

Published:2024-08-21 Issue:1 Volume:14 Page:
ISSN:1869-5469
Container-title:Social Network Analysis and Mining
language:en
Short-container-title:Soc. Netw. Anal. Min.

Author:

Fionda Valeria

Abstract

AbstractThis 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.

Funder

Ministero dell’Istruzione, dell’Università e della Ricerca

Università della Calabria

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s13278-024-01318-6.pdf

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