Structural controllability of general edge dynamics in complex network.

ABSTRACT: Dynamic processes that occur on the edge of complex networks are relevant to a variety of real-world systems, where states are defined on individual edges, and nodes are active components with information processing capabilities. In traditional studies of edge controllability, all adjacent edge states are assumed to be coupled. In this paper, we release this all-to-all coupling restriction and propose a general edge dynamics model. We give a theoretical framework to study the structural controllability of the general edge dynamics and find that the set of driver nodes for edge controllability is unique and determined by the local information of nodes. Applying our framework to a large number of model and real networks, we find that there exist lower and upper bounds of edge controllability

SUBMITTER: Pang S 

PROVIDER: S-EPMC9974982 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature