Machine learningNetwork science

Temporal Two-Mode Network Analysis

Temporal two-mode network analysis tracks relationships between two distinct classes of nodes — such as authors and publications, or actors and events — across multiple time points. By combining bipartite structure with longitudinal observation, it reveals how affiliation patterns, collaborations, and community memberships form, evolve, and dissolve over time.

Open in MethodMindSoonVideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

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. Latapy, M., Magnien, C., & Del Vecchio, N. (2008). Basic notions for the analysis of large two-mode networks. Social Networks, 30(1), 31–48. DOI: 10.1016/j.socnet.2007.04.006

Related methods

Referenced by

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