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1 results

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

  • MICHAEL BRUSCO, PATRICK DOREIAN, PAULETTE LLOYD, DOUGLAS STEINLEY
  • Journal:
    Network Science / Volume 1 / Issue 2 / August 2013
    Published online by Cambridge University Press:
    30 July 2013, pp. 191-212

  • 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.