title: Percolation on networks with conditional dependence group.
abstract: Recently, the dependence group has been proposed to study the robustness of networks with interdependent nodes. A dependence group means that a failed node in the group can lead to the failures of the whole group. Considering the situation of real networks that one failed node may not always break the functionality of a dependence group, we study a cascading failure model that a dependence group fails only when more than a fraction β of nodes of the group fail. We find that the network becomes more robust with the increasing of the parameter β. However, the type of percolation transition is always first order unless the model reduces to the classical network percolation model, which is independent of the degree distribution of the network. Furthermore, we find that a larger dependence group size does not always make the networks more fragile. We also present exact solutions to the size of the giant component and the critical point, which are in agreement with the simulations well.
authors.affiliation: School of Computer and Information/Hefei University of Technology, Hefei, Anhui Province, 230009, P.R. China; Department of Modern Physics/University of Science and Technology of China, Hefei, Anhui Province, 230026, P.R. China; Information Construction and Development Center/Hefei University of Technology, Hefei, Anhui Province, 230009, P.R. China; Center of Information Support and Assurance Technology, Anhui University, Hefei, Anhui Province, 230601, P.R. China.
authors.forename: Hui
authors.initials: H
authors.lastname: Wang
authors.affiliation: Department of Modern Physics/University of Science and Technology of China, Hefei, Anhui Province, 230026, P.R. China.
authors.forename: Ming
authors.initials: M
authors.lastname: Li
authors.affiliation: School of Computer and Information/Hefei University of Technology, Hefei, Anhui Province, 230009, P.R. China; Information Construction and Development Center/Hefei University of Technology, Hefei, Anhui Province, 230009, P.R. China.
authors.forename: Lin
authors.initials: L
authors.lastname: Deng
authors.affiliation: Department of Modern Physics/University of Science and Technology of China, Hefei, Anhui Province, 230026, P.R. China.
authors.forename: Bing-Hong
authors.initials: BH
authors.lastname: Wang
mesh_terms: D003198:Computer Simulation; D008962:Models, Theoretical