Machine learningNetwork science

Temporal Network Diffusion Analysis

Temporal Network Diffusion Analysis studies how information, disease, influence, or other contagions spread through networks whose structure changes over time. By modeling edges as time-stamped contacts rather than static links, it captures the critical role of timing and ordering in determining which nodes get reached, how fast, and through which pathways — producing conclusions that static network models systematically miss.

MethodMind'de açSoonVideoSoon

Tam yöntemi oku

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. Masuda, N. & Lambiotte, R. (2016). A Guide to Temporal Networks. World Scientific. ISBN: 978-1-78634-052-4

Related methods

Referenced by

ScholarGateTemporal Network Diffusion Analysis (Temporal Network Diffusion Analysis (Time-Varying Spreading Processes on Dynamic Networks)). Retrieved 2026-06-04 from https://scholargate.app/tr/network-analysis/temporal-network-diffusion-analysis