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ISCS 2014: Interdisciplinary Symposium on Complex SystemsBirth-Death Models of Information Spread in Structured Populations

ISCS 2014: Interdisciplinary Symposium on Complex Systems: Birth-Death Models of Information... [Following on the seminal work of Lieberman, et al [1], analysis of information spread in structured populations has become a major area of research interest. This work, together with research on general networks [e.g., 2 – 8], has inspired a number of graph based evolutionary models [e.g. 9 – 21]. The generality of such models can be seen through a partial listing of questions to which they have been applied: the spread of information, gossip, and rumors [22 – 25]; the spread of ideas and innovations [26 – 30]; the probability of a mutant gene becoming fixed in a population [31 – 34]; models of defenses against cancer and epidemics [35, 36]; models of the evolution of cooperation [37 – 39]; and, tracking rumor sources and terrorists [40 - 42].] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

ISCS 2014: Interdisciplinary Symposium on Complex SystemsBirth-Death Models of Information Spread in Structured Populations

Part of the Emergence, Complexity and Computation Book Series (volume 14)
Editors: Sanayei, Ali; E. Rössler, Otto; Zelinka, Ivan
Voorhees, Burton
ISCS 2014: Interdisciplinary Symposium on Complex Systems — Jan 1, 2015
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Publisher
Springer International Publishing
Copyright
© Springer International Publishing Switzerland 2015
ISBN
978-3-319-10758-5
Pages
67 –76
DOI
10.1007/978-3-319-10759-2_8
Publisher site
See Chapter on Publisher Site

Abstract

[Following on the seminal work of Lieberman, et al [1], analysis of information spread in structured populations has become a major area of research interest. This work, together with research on general networks [e.g., 2 – 8], has inspired a number of graph based evolutionary models [e.g. 9 – 21]. The generality of such models can be seen through a partial listing of questions to which they have been applied: the spread of information, gossip, and rumors [22 – 25]; the spread of ideas and innovations [26 – 30]; the probability of a mutant gene becoming fixed in a population [31 – 34]; models of defenses against cancer and epidemics [35, 36]; models of the evolution of cooperation [37 – 39]; and, tracking rumor sources and terrorists [40 - 42].]

Published: Jan 1, 2015

Keywords: Evolutionary Dynamic; Fixation Probability; State Transition Matrix; State Space Approach; Circular Flow

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