NDLI: Community mining in signed networks: A multiobjective approach

Content Provider	IEEE Xplore Digital Library
Author	Amelio, A. Pizzuti, C.
Copyright Year	2013
Description	Author affiliation: Inst. for High-Performance Comput. & Networking (ICAR), Rende, Italy (Amelio, A.; Pizzuti, C.)
Abstract	Community detection in signed complex networks is a challenging research problem aiming at finding groups of entities having positive connections within the same cluster and negative relationships between different clusters. Most of the proposed approaches have been developed for networks having only positive edges. In this paper we propose a multiobjective approach to detect communities in signed networks. The method partitions a network in groups of nodes such that two objectives are contemporarily optimized. The former is that the partitioning should have dense positive intra-connections and sparse negative interconnections, the latter is that it should have as few as possible negative intra-connections and positive inter-connections. We show that the concepts of signed modularity and frustration fulfill these objectives, and that the maximization of signed modularity and the minimization of frustration allow to obtain very good solutions to the problem. An extensive set of experiments on both real-life and synthetic signed networks shows the efficacy of the approach.
Sponsorship	IEEE Comput. Soc.
Starting Page	95
Ending Page	99
File Size	755645
Page Count	5
File Format	PDF
ISBN	9781450322409
DOI	10.1145/2492517.2492641
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-25
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	ACM and IEEE
Subject Keyword	multiobjective genetic algorithms Image edge detection Communities Complex networks Encyclopedias Minimization community detection signed networks Dolphins
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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