Exploring Network Centralities in Spreading Processes
Résumé
Information and influence spread have been attracting a lot of attention due to the important role they play to numerous applications. Various previous studies have been focused on understanding the patterns during a spreading process. Most studies have been focusing on individual-based diffusion data and on inferring the diffusion network. In this work, we investigate the topological characteristics of individuals that are influenced and that participate in a diffusion process and present the patterns that are detected. We furthermore compare the in-dividuals' characteristics between a simulated and a real world spreading process and show the need for a more comprehensive model in this area.
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