Dynamics of temporal influence in polarised networks.

ABSTRACT: In social networks, it is often of interest to identify the most influential users who can successfully spread information to others. This is particularly important for marketing (e.g., targeting influencers for a marketing campaign) and to understand the dynamics of information diffusion (e.g., who is the most central user in the spreading of a certain type of information). However, different opinions often split the audience and make the network polarised, with fragmented structure. In polarised networks, information becomes siloed within communities in the network, and the most influential user within a network might not be the most influential across all communities. Additionally, influential users and their influence may change over time as users may change their opinion or choose to

SUBMITTER: Pena CB 

PROVIDER: S-EPMC12688149 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature