Where does my brand end? An overlapping community approach

Title: Where does my brand end? An overlapping community approach
Creator: Gabardo, Ademir C.; Berretta, Regina; de Vries, Natalie J.; Moscato, Pablo
Relation: 20th Asia Pacific Symposium (IES 2016). Intelligent and Evolutionary Systems: The 20th Asia Pacific Symposium, IES 2016, Canberra, Australia, November 2016, Proceedings [presented in Proceedings in Adaptation, Learning and Optimization, Vol. 8] (Canberra, A.C.T. 16-18 November, 2016) p. 133-148
Publisher Link: http://dx.doi.org/10.1007/978-3-319-49049-6_10
Publisher: Springer
Resource Type: conference paper
Date: 2017
Description: In this paper, we present a new Memetic Algorithm for overlapping community detection. We use a link-based clustering approach to detect the communities of edges in complex networks. To assess the quality of our method, we present experimental results for benchmark networks in comparison to other state-of-the-art algorithms. In addition, we present a case study of a co-purchasing product network from a brand-centric point of view to show the real-life utility of this new Memetic Algorithm.
Subject: evolutionary computation; memetic algorithms; metaheuristics; complex networks; overlapping community detection
Identifier: http://hdl.handle.net/1959.13/1397592
Identifier: uon:34322
Identifier: ISBN:9783319490489
Language: eng
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