Rough Net Approach for Community Detection Analysis in Complex Networks

Ivett Fuentes*, Arian Pina, Gonzalo Nápoles, Leticia Arco, Koen Vanhoof

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Rough set theory has many interesting applications in circumstances characterized by vagueness. In this paper, the applications of rough set theory in community detection analysis are discussed based on the Rough Net definition. We will focus the application of Rough Net on community detection validity in both monoplex and multiplex networks. Also, the topological evolution estimation between adjacent layers in dynamic networks is discussed and a new community interaction visualization approach combining both complex network representation and Rough Net definition is adopted to interpret the community structure. We provide some examples that illustrate how the Rough Net definition can be used to analyze the properties of the community structure in real-world networks, including dynamic networks.
Original languageEnglish
Title of host publication Rough Sets
Number of pages15
Publication statusPublished - 2020
Externally publishedYes
EventInternational Joint Conference on Rough Sets (IJCRS 2020) -
Duration: 29 Jun 2020 → …


ConferenceInternational Joint Conference on Rough Sets (IJCRS 2020)
Period29/06/20 → …


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