Modelling indirect interactions during failure spreading in a project activity network.

ABSTRACT: Spreading broadly refers to the notion of an entity propagating throughout a networked system via its interacting components. Evidence of its ubiquity and severity can be seen in a range of phenomena, from disease epidemics to financial systemic risk. In order to understand the dynamics of these critical phenomena, computational models map the probability of propagation as a function of direct exposure, typically in the form of pairwise interactions between components. By doing so, the important role of indirect interactions remains unexplored. In response, we develop a simple model that accounts for the effect of both direct and subsequent exposure, which we deploy in the novel context of failure propagation within a real-world engineering project. We show that subsequent exposure has a s

SUBMITTER: Ellinas C 

PROVIDER: S-EPMC5847592 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature