• DocumentCode
    2653310
  • Title

    Propagation through dynamic networks: Degree distribution and the spread of disease

  • Author

    Colijn, Caroline

  • Author_Institution
    Dept. of Eng. Math., Univ. of Bristol, Bristol, UK
  • fYear
    2009
  • fDate
    11-16 Oct. 2009
  • Firstpage
    594
  • Lastpage
    598
  • Abstract
    The question of how the topology of a network affects the network´s dynamics is of current interest in many fields. Motivated by the observation of long tails in the degree distribution of human sexual contact networks, simple dynamics that can lead to this feature of real-world networks are described. The approach to this phenomenon introduced here is distinct from preferential attachment, the most well-known mechanism for generating long-tailed degree distributions. The implications of these simple dynamics for the question of epidemic spread are examined.
  • Keywords
    diseases; dynamic networks; epidemic spread; network topology; preferential attachment; Biological information theory; Conferences; Diseases; Humans; Information theory; Mathematics; Network topology; Probability distribution; Proteins; Social network services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop, 2009. ITW 2009. IEEE
  • Conference_Location
    Taormina
  • Print_ISBN
    978-1-4244-4982-8
  • Electronic_ISBN
    978-1-4244-4983-5
  • Type

    conf

  • DOI
    10.1109/ITW.2009.5351503
  • Filename
    5351503