AST: Activity-Security-Trust driven modeling of time varying networks.

ABSTRACT: Network modeling is a flexible mathematical structure that enables to identify statistical regularities and structural principles hidden in complex systems. The majority of recent driving forces in modeling complex networks are originated from activity, in which an activity potential of a time invariant function is introduced to identify agents' interactions and to construct an activity-driven model. However, the new-emerging network evolutions are already deeply coupled with not only the explicit factors (e.g. activity) but also the implicit considerations (e.g. security and trust), so more intrinsic driving forces behind should be integrated into the modeling of time varying networks. The agents undoubtedly seek to build a time-dependent trade-off among activity, security, and trust in g

SUBMITTER: Wang J 

PROVIDER: S-EPMC4758040 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature