caa a22 4500 445360518 CHVBK 20180317142913.0 cr unu---uuuuu 170323e20110401xx s 000 0 eng 10.1007/s11071-010-9854-8 doi (NATIONALLICENCE)springer-10.1007/s11071-010-9854-8 Modeling dynamics ofdisaster spreading in community networks [Elektronische Daten] [Qin Guo, Lixiang Li, Yuehua Chen, Yixian Yang, Xinxin Niu] In this paper, we investigate the dynamics ofdisaster spreading in community networks. Unlike the case in other kinds ofcomplex networks, the transitions between the self-healing and spreading dynamics for community networks are in ladder-type in dependent ofthe recovery time and time delay. Statistical analysis on the average erupting time ofdisaster in communities shows that large-scale disaster firstly erupts in the community with maximal average degree, which is unrelated with the location where the initial disturbance seed is. Moreover, the average erupting time ofdisaster reduces along with the decrease ofthe average degrees ofcommunities. Therefore, the community structure is helpful on the control ofthe disaster spreading. Springer Science+Business Media B.V., 2010 Complex networks nationallicence Community networks nationallicence Random networks nationallicence Disaster spreading nationallicence Guo Qin Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, 100876, Beijing, China aut Li Lixiang Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, 100876, Beijing, China aut Chen Yuehua School of Science, Beijing University of Posts and Telecommunications, 100876, Beijing, China aut Yang Yixian Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, 100876, Beijing, China aut Niu Xinxin Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, 100876, Beijing, China aut Nonlinear Dynamics Springer Netherlands 64/1-2(2011-04-01), 157-165 0924-090X 64:1-2<157 2011 64 11071 https://doi.org/10.1007/s11071-010-9854-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11071-010-9854-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Guo Qin Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, 100876, Beijing, China aut NATIONALLICENCE 700 1- Li Lixiang Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, 100876, Beijing, China aut NATIONALLICENCE 700 1- Chen Yuehua School of Science, Beijing University of Posts and Telecommunications, 100876, Beijing, China aut NATIONALLICENCE 700 1- Yang Yixian Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, 100876, Beijing, China aut NATIONALLICENCE 700 1- Niu Xinxin Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, 100876, Beijing, China aut NATIONALLICENCE 773 0- Nonlinear Dynamics Springer Netherlands 64/1-2(2011-04-01), 157-165 0924-090X 64:1-2<157 2011 64 11071 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer