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An opportunistic network approach towards disease spreading

Joneydi, S ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.1007/978-3-319-72150-7_26
  3. Publisher: Springer Verlag , 2018
  4. Abstract:
  5. Research in modeling epidemic spreading in static networks has reached maturity in recent years. On the contrary, disease spreading in dynamic networks can be considered as an important open issue. Hence, mapping dynamic interactions of crowds to a static network and then immunizing the resulting network is the subject of this paper. In this work, we analogize spreading of diseases in dynamic networks -based on dynamic interactions- to message delivery in opportunistic networks. Thus, different diseases which have different spreading behaviors could be simulated by specific routing protocols. Having used interactions among individuals in the utilized dataset, the resulting network is immunized by vaccinating most central nodes. Our results show that in case of seasonal disease, optimal DTN (Delay Tolerant Network) solution is Epidemic routing to detect influential persons and in case of infectious disease, Direct Delivery routing is an optimal solution. © Springer International Publishing AG 2018
  6. Keywords:
  7. Centrality measures ; Delay tolerant networks ; Epidemic spreading model ; Immunization
  8. Source: 6th International Conference on Complex Networks and Their Applications, Complex Networks 2017, 29 November 2017 through 1 December 2017 ; Volume 689 , November , 2018 , Pages 314-325 ; 1860949X (ISSN) ; 9783319721491 (ISBN)
  9. URL: https://link.springer.com/chapter/10.1007%2F978-3-319-72150-7_26