4 papers
Opinion polarization from compression-based decision making where agents optimize local complexity and global simplicity
Alina Dubovskaya, David J. P. O'Sullivan, Michael Quayle
Understanding social polarization requires integrating insights from psychology, sociology, and complex systems science. Agent-based modeling provides a natural framework to combin…
Dynamics of temporal influence in polarised networks
Caroline B. Pena, David J. P. O'Sullivan, Pádraig MacCarron +1
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 (…
Modeling diffusion in networks with communities: a multitype branching process approach
Alina Dubovskaya, Caroline B. Pena, David J. P. O'Sullivan
The dynamics of diffusion in complex networks are widely studied to understand how entities, such as information, diseases, or behaviors, spread in an interconnected environment. C…
Finding polarised communities and tracking information diffusion on Twitter: The Irish Abortion Referendum
Caroline Pena, Pádraig MacCarron, David J. P. O'Sullivan
The analysis of social networks enables the understanding of social interactions, polarisation of ideas, and the spread of information and therefore plays an important role in soci…