TY - JOUR
T1 - The effects of local network structure on disease spread in coupled networks
AU - Vermeer, W.
AU - Head, B.
AU - Wilensky, U.
N1 - Funding Information:
Research reported in this publication was supported by the National Institute On Drug Abuse of the National Institutes of Health under Award Number P30DA027828, the National Science Foundation under Award Number NSFIIS-1441552, and the Northwestern Institute on Complex Systems. The content is solely the responsibility of the authors and does not necessarily represent the official views of any of the supporting agencies.
PY - 2017
Y1 - 2017
N2 - Epidemiology has long used human interaction patterns to understand spreading dynamics. Recently network scientists have embraced the notion that these pattern are best described using a complex multi-layered system, a network of networks, yielding a stream of literature focused on understanding spreading in such coupled systems. Adding this macro level perspective to disease spreading, focusing on the interaction among systems, has shifted focus away from the role of local (within-system) structure. In this paper, using a multi-level Agent-based model, we highlight the importance of the local structure in determining spreading dynamics in coupled settings. We show that the local dynamics in both the focal and neighboring networks, play a significant role in determining focal dynamics. As both are driven by the local structure this highlights a need for incorporating structural details across all levels for accurate modeling of disease spreading dynamics.
AB - Epidemiology has long used human interaction patterns to understand spreading dynamics. Recently network scientists have embraced the notion that these pattern are best described using a complex multi-layered system, a network of networks, yielding a stream of literature focused on understanding spreading in such coupled systems. Adding this macro level perspective to disease spreading, focusing on the interaction among systems, has shifted focus away from the role of local (within-system) structure. In this paper, using a multi-level Agent-based model, we highlight the importance of the local structure in determining spreading dynamics in coupled settings. We show that the local dynamics in both the focal and neighboring networks, play a significant role in determining focal dynamics. As both are driven by the local structure this highlights a need for incorporating structural details across all levels for accurate modeling of disease spreading dynamics.
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U2 - 10.1007/978-3-319-50901-3_39
DO - 10.1007/978-3-319-50901-3_39
M3 - Article
AN - SCOPUS:85007369988
VL - 693
SP - 487
EP - 498
JO - Studies in Computational Intelligence
JF - Studies in Computational Intelligence
SN - 1860-949X
ER -