DocumentCode
2237108
Title
Clustering in a network of mutually attracting agents
Author
Smet, Filip De ; Aeyels, Dirk
Author_Institution
Syst. Res. Group, Ghent Univ., Ghent, Belgium
fYear
2008
fDate
9-11 Dec. 2008
Firstpage
1827
Lastpage
1832
Abstract
We introduce a model of mutually attracting agents in an arbitrary network, for which the long term behavior results in the emergence of several clusters. The cluster structure is independent of the initial condition and is characterized by a set of inequalities in the parameters of the model. With varying coupling strength, transitions between different cluster structures may take place. We illustrate the relation with the Kuramoto model on interconnected oscillators and we discuss an application on opinion formation.
Keywords
pattern clustering; cluster structure; coupling strength; interconnected oscillators; mutually attracting agent network; Analytical models; Animals; Coupled mode analysis; Frequency synchronization; Heart; Insects; Mathematical analysis; Mathematical model; Oscillators; Sufficient conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location
Cancun
ISSN
0191-2216
Print_ISBN
978-1-4244-3123-6
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2008.4738658
Filename
4738658
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