Why temporal networks are more controllable: Link weight variation offers superiority
Xin-Ya Zhang, Jie Sun, Gang Yan
Abstract
The control of temporal networks is of paramount importance to complex systems in diverse fields. Recent studies showed that temporal networks are more controllable than their static counterparts, in terms of control time, cost, and trajectory length. However, the underlying mechanism of this intriguing phenomenon remains elusive, partly due to the fact that multiple properties of a temporal network simultaneously change over time.
Topics & Concepts
ControllabilityVariation (astronomy)Computer scienceLink (geometry)Dimension (graph theory)Node (physics)Complex networkDistributed computingMathematicsComputer networkEngineeringAstrophysicsStructural engineeringPhysicsPure mathematicsApplied mathematicsWorld Wide WebComplex Network Analysis TechniquesOpinion Dynamics and Social InfluenceFunctional Brain Connectivity Studies