Our latest research, led by our collaborator from Corvinus University of Budapest, Balázs Sziklai, and co-authored by HSDSLab colleagues, József Pintér and Kate B., has been published in Social Network Analysis and Mining.

In this paper, the authors introduce more realistic variants of the well-known linear threshold and independent cascade models to better capture the diffusion of innovation.

The full paper can be read here:https://link.springer.com/article/10.1007/s13278-025-01424-z