The effects of community interactions and quarantine on a complex network
An adaptive complex network based on a susceptible–exposed–infectious–quarantine–recovered (SEIQR) framework is implemented to investigate the transmission dynamics of an infectious disease. The topology and its relations with network parameters are discussed. Using the primary outbreak data from th...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2016-12-01
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Series: | Cogent Mathematics |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/23311835.2016.1249141 |