2008/06/30 by Cristobald de Kerchove, C. de Kerchove, G. Krings +7
Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Evolutionary Game Theory and Cooperation #Opinion Dynamics and Social Influence #physics.soc-ph
paper · pdf · doi:10.1103/physreve.79.016114
7 pages, 6 figures
arxiv created 2009/01/11 · openalex publication_date 2009/01/30 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
We study the propagation of information in social networks. To do so, we focus on a cascade model where nodes are infected with probability p1 after their first contact with the information and with probability p2 at all subsequent contacts. The diffusion starts from one random node and leads to a cascade of infection. It is shown that first and subsequent trials play different roles in the propagation and that the size of the cascade depends in a nontrivial way on p1 , p2 , and on the network structure. Second trials are shown to amplify the propagation in dense parts of the network while first trials are dominant for the exploration of new parts of the network and launching new seeds of infection.