This paper studies popularity dynamics in social networks, where users'engagement with competing channels is driven by intrinsic content quality, social influence, and popularity feedback. We introduce a stochastic model in which users interact through a directed influence network and channel exposure depends jointly o...
We propose a Multi-technology AdopTion-opinion co-Evolution (MATE) model to describe the diffusion of $m \geq 2$ competing alternatives within a networked population whose opinions evolve under social influence and the feedback generated by adoption. Communities interact through two layers: a physical network governing...
Martina Alutto, Fabrizio Dabbene, Angela Fontan et al.· 0 citations
Understanding how sustainable behaviors spread within heterogeneous societies requires the integration of behavioral data, social influence mechanisms, and structured control strategies. In this article, we propose a data-driven computational framework for coupled opinion-adoption dynamics in social systems. Each node...
Martina Alutto, S. Bellotti, Fabrizio Dabbene et al.· IEEE Transactions on Computa...· 1 citation
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