Observing network dynamics through sentinel nodes.

ABSTRACT: A fundamental premise of statistical physics is that the particles in a physical system are interchangeable, and hence the state of each specific component is representative of the system as a whole. This assumption breaks down for complex networks, in which nodes may be extremely diverse, and no single component can truly represent the state of the entire system. It seems, therefore, that to observe the dynamics of social, biological or technological networks, one must extract the dynamic states of a large number of nodes-a task that is often practically prohibitive. Theoretical tools are also highly restrictive, given the analytically impenetrable combination of complex heterogeneous networks with nonlinear, often hidden, dynamics. To overcome this challenge, we use machine learning tech

SUBMITTER: MacLaren NG 

PROVIDER: S-EPMC12635286 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature