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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Schwartz, I.B. Shaw, L.B. Shkarayev, M.S. |
| Copyright Year | 2011 |
| Description | Author affiliation: Dept. of Applied Science, College of William and Mary, Williamsburg, VA 23187-8795 U.S.A. (Shaw, L.B.; Shkarayev, M.S.) || Nonlinear Dynamical Systems Section, Code 6792, US Naval Research Laboratory, Washington, DC 20375 U.S.A (Schwartz, I.B.) |
| Abstract | Real networks consisting of social contacts do not possess static connections. That is, social connections may be time dependent due to a variety of individual behavioral decisions based on current network connections. Examples of adaptive networks occur in epidemics, where information about infectious individuals may change the rewiring of healthy people, or in the recruitment of individuals to a cause or fad, where rewiring may optimize recruitment of susceptible individuals. In this paper, we will review some of the dynamical properties of adaptive networks, and show how they predict novel phenomena as well as yield insight into new controls. The applications will be control of epidemic outbreaks and terrorist recruitment modeling. |
| Starting Page | 1 |
| Ending Page | 7 |
| File Size | 216714 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781457702679 |
| e-ISBN | 9780982443828 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Intl Society of Info Fusion |
| Subject Keyword | Terrorism Adaptation models Recruitment Diseases Adaptive systems Mathematical model Equations Epidemics Adaptive networks Terrorist recruitment Social Networks |
| Content Type | Text |
| Resource Type | Article |
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