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A variable neighborhood search method for a two-mode blockmodeling problem in social network analysis

Bibliographic Data

ID7994091
AuthorsMichael J Brusco (0000-0002-1465-6233, Florida State University), Michael Brusco, P Doreian (0000-0002-3301-7840, University of Ljubljana), Paulette Lloyd (United States Department of State), Douglas Steinley (0000-0001-9900-5028, University of Missouri)
Year2013
Volume1
Issue2
Pages191-212
Publication date2013-07-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueNetwork Science (JOURNAL)
Journal identifiersISSN: 2050-1250 • E-ISSN: 2050-1242
PublisherCambridge University Press (PUBLISHER • US)
DOI10.1017/nws.2013.5
OpenAlexW2147729976
LanguageEN
Citations received7
References cited36

This paper presents a variable neighborhood search (VNS) algorithm that is specially designed for the blockmodeling of two-mode binary network matrices in accordance with structural equivalence. Computational results for 768 synthetic test networks revealed that the VNS heuristic outperformed a relocation heuristic (RH) and a tabu search (TS) method for the same problem. Next, the three heuristics were applied to two-mode network data pertaining to the votes of member countries on resolutions in the United Nations General Assembly. A comparative analysis revealed that the VNS heuristic often provided slightly better criterion function values than RH and TS, and that these small differences in criterion function values could sometimes be associated with substantial differences in the actual partitions obtained. Overall, the results suggest that the VNS heuristic is a promising approach for blockmodeling of two-mode binary networks. Recommendations for extensions to stochastic blockmodeling applications are provided

Algorithm · Data mining · Discrete mathematics · Equivalence (formal languages · Heuristic · Heuristics · Mathematical optimization · Metaheuristic · Tabu search · Variable neighborhood search · Complex Network Analysis Techniques · Computer Science · Mathematics · Artificial Intelligence · Theoretical Computer Science

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  • Eigenvector centrality and structural zeroes and ones

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    Open Access•Michael J Brusco, Michael Brusco et al.•Social Networks•2015

  • Deterministic Blockmodeling of Two-Mode Binary Networks Using a Two-Mode KL -Median Heuristic

    Open Access•Michael J Brusco, Michael Brusco et al.•Journal of Social Structure•2018

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    Open Access•Michael J Brusco, P Doreian•Social Networks•2018

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Unique citing works7
Citations per year0,64
Citation span2015 - 2018 (4)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 7
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