Emergence of hierarchy in networked endorsement dynamics.

ABSTRACT: Many social and biological systems are characterized by enduring hierarchies, including those organized around prestige in academia, dominance in animal groups, and desirability in online dating. Despite their ubiquity, the general mechanisms that explain the creation and endurance of such hierarchies are not well understood. We introduce a generative model for the dynamics of hierarchies using time-varying networks, in which new links are formed based on the preferences of nodes in the current network and old links are forgotten over time. The model produces a range of hierarchical structures, ranging from egalitarianism to bistable hierarchies, and we derive critical points that separate these regimes in the limit of long system memory. Importantly, our model supports statistical inferen

SUBMITTER: Kawakatsu M 

PROVIDER: S-EPMC8072324 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature