Bio-Inspired Models of Network, Information, and Computing Systems. 5th International ICST Conference, BIONETICS 2010, Boston, USA, December 1-3, 2010, Revised Selected Papers

Research Article

Epidemic Spread in Adaptive Social Networks with Community Structure

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  • @INPROCEEDINGS{10.1007/978-3-642-32615-8_49,
        author={Leah Shaw and Ilker Tunc},
        title={Epidemic Spread in Adaptive Social Networks with Community Structure},
        proceedings={Bio-Inspired Models of Network, Information, and Computing Systems. 5th International ICST Conference, BIONETICS 2010, Boston, USA, December 1-3, 2010, Revised Selected Papers},
        proceedings_a={BIONETICS},
        year={2012},
        month={10},
        keywords={adaptive networks community structure epidemics},
        doi={10.1007/978-3-642-32615-8_49}
    }
    
  • Leah Shaw
    Ilker Tunc
    Year: 2012
    Epidemic Spread in Adaptive Social Networks with Community Structure
    BIONETICS
    Springer
    DOI: 10.1007/978-3-642-32615-8_49
Leah Shaw1,*, Ilker Tunc1
  • 1: College of William and Mary
*Contact email: lbshaw@wm.edu

Abstract

When an epidemic spreads in a population, individuals may adaptively change the structure of their social contact network in response. We study the spread of epidemics in an adaptive network with community structure. Community structure is a characteristic of social networks that has been neglected in previous adaptive network epidemic models. We model the effect of heterogeneous communities on infection levels. We also show how an epidemic can alter the community structure.