Machine learningNetwork science

Weighted Two-Mode Network Analysis

Weighted two-mode network analysis examines bipartite graphs in which two distinct node sets — such as actors and events, authors and papers, or species and habitats — are connected by edges carrying numerical weights that capture the strength, frequency, or intensity of each affiliation. Incorporating weights provides substantially richer structural insights than unweighted bipartite analysis.

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Sources

  1. Borgatti, S. P., & Everett, M. G. (1997). Network analysis of 2-mode data. Social Networks, 19(3), 243–269. DOI: 10.1016/S0378-8733(96)00301-2
  2. Newman, M. E. J., Strogatz, S. H., & Watts, D. J. (2001). Random graphs with arbitrary degree distributions and their applications. Physical Review E, 64(2), 026118. DOI: 10.1103/PhysRevE.64.026118

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Referenced by

ScholarGateWeighted Two-Mode Network Analysis (Weighted Two-Mode (Bipartite) Network Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/network-analysis/weighted-two-mode-network-analysis