Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

34

CDC
2008
IEEE

favoriteEmaildiscussreport

117views Control Systems» more CDC 2008»

Clustering in a network of mutually attracting agents

13 years 11 months ago

Clustering in a network of mutually attracting agents

Download www.nt.ntnu.no

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.

Filip De Smet, Dirk Aeyels

Real-time Traffic

CDC 2008 | Cluster Structures | Control Systems | Long Term Behavior | Model |

claim paper

Related Content

» Genetic Regulatory Network Modeling Using Network Component Analysis and Fuzzy Clustering

» Nearest Neighbor Networks clustering expression data based on gene neighborhoods

» Exploiting Phase Transition in Latent Networks for Clustering

Post Info
More Details (n/a)

Added	07 Dec 2010
Updated	07 Dec 2010
Type	Conference
Year	2008
Where	CDC
Authors	Filip De Smet, Dirk Aeyels

Comments (0)