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
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