Machine learningNetwork science

Temporal Social Network Analysis

Temporal Social Network Analysis (TSNA) extends classic social network analysis by treating networks as time-varying structures. Rather than aggregating all ties into a single static snapshot, TSNA tracks when ties form, persist, and dissolve, enabling researchers to study how social structures evolve and how dynamic connectivity shapes diffusion, influence, and inequality 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. Holme, P., & Saramäki, J. (2012). Temporal networks. Physics Reports, 519(3), 97–125. DOI: 10.1016/j.physrep.2012.03.001
  2. Moody, J., McFarland, D., & Bender-deMoll, S. (2005). Dynamic network visualization. American Journal of Sociology, 110(4), 1206–1241. DOI: 10.1086/421509

Related methods

Referenced by

ScholarGateTemporal Social Network Analysis (Temporal Social Network Analysis (Longitudinal and Time-Varying Network Analysis)). Retrieved 2026-06-04 from https://scholargate.app/en/network-analysis/temporal-social-network-analysis