Temporal-topological properties of higher-order evolving networks.

ABSTRACT: Human social interactions are typically recorded as time-specific dyadic interactions, and represented as evolving (temporal) networks, where links are activated/deactivated over time. However, individuals can interact in groups of more than two people. Such group interactions can be represented as higher-order events of an evolving network. Here, we propose methods to characterize the temporal-topological properties of higher-order events to compare networks and identify their (dis)similarities. We analyzed 8 real-world physical contact networks, finding the following: (a) Events of different orders close in time tend to be also close in topology; (b) Nodes participating in many different groups (events) of a given order tend to involve in many different groups (events) of another order;

SUBMITTER: Ceria A 

PROVIDER: S-EPMC10090145 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature