Social Fragmentation Transitions in Large-Scale Parameter Sweep Simulations of Adaptive Social Networks
Hiroki Sayama

TL;DR
This study extensively explores how behavioral traits like homophily, attention to novelty, and social conformity influence social fragmentation transitions in adaptive social networks through large-scale simulations and neural network analysis.
Contribution
It expands the parameter space and uncovers a new transition plane involving social conformity, revealing complex interactions among behavioral traits affecting social fragmentation.
Findings
Homophily and attention to novelty primarily determine social fragmentation.
A new transition plane emerges with strong social conformity behavior.
Complex interactions among traits influence collective social outcomes.
Abstract
Social fragmentation transition is a transition of social states between many disconnected communities with distinct opinions and a well-connected single network with homogeneous opinions. This is a timely research topic with high relevance to various current societal issues. We had previously studied this problem using numerical simulations of adaptive social network models and found that two individual behavioral traits, homophily and attention to novelty, had the most statistically significant impact on the outcomes of social network evolution. However, our previous study was limited in terms of the range of parameter values examined, and possible interactions between multiple behavioral traits were largely ignored. In this study, we conducted a substantially larger-scale parameter sweep numerical experiment of the same model with expanded parameter ranges by an order of magnitude in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOpinion Dynamics and Social Influence · Complex Network Analysis Techniques · Evolutionary Game Theory and Cooperation
