Where Does My Brand End? An Overlapping Community Approach
Autor: | Natalie Jane de Vries, Pablo Moscato, Regina Berretta, Ademir Cristiano Gabardo |
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Rok vydání: | 2016 |
Předmět: |
Computer science
media_common.quotation_subject 02 engineering and technology Complex network computer.software_genre Evolutionary computation 020204 information systems 0202 electrical engineering electronic engineering information engineering Benchmark (computing) Memetic algorithm 020201 artificial intelligence & image processing Point (geometry) Quality (business) Data mining Marketing Cluster analysis computer Metaheuristic media_common |
Zdroj: | Proceedings in Adaptation, Learning and Optimization ISBN: 9783319490489 |
DOI: | 10.1007/978-3-319-49049-6_10 |
Popis: | 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. |
Databáze: | OpenAIRE |
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