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Regular Equivalence for Social Networks

Faculty of Engineering and Architecture, Department of Information Technology, Ghent-University - imec, 9052 Ghent, Belgium
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(1), 117;
Received: 30 November 2018 / Revised: 24 December 2018 / Accepted: 26 December 2018 / Published: 30 December 2018
Networks and graphs are highly relevant in modeling real-life communities and their interactions. In order to gain insight in their structure, different roles are attributed to vertices, effectively clustering them in equivalence classes. A new formal definition of regular equivalence is presented in this paper, and the relation with other equivalence types is investigated and mathematically proven. An efficient algorithm is designed, able to detect all regularly equivalent roles in large-scale complex networks. We apply it to both Barabási–Albert random networks, as well as real-life social networks, which leads to interesting insights. View Full-Text
Keywords: social networks; complex network analysis; regular equivalence; algorithms social networks; complex network analysis; regular equivalence; algorithms
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MDPI and ACS Style

Audenaert, P.; Colle, D.; Pickavet, M. Regular Equivalence for Social Networks. Appl. Sci. 2019, 9, 117.

AMA Style

Audenaert P, Colle D, Pickavet M. Regular Equivalence for Social Networks. Applied Sciences. 2019; 9(1):117.

Chicago/Turabian Style

Audenaert, Pieter, Didier Colle, and Mario Pickavet. 2019. "Regular Equivalence for Social Networks" Applied Sciences 9, no. 1: 117.

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