Communication and Synchronization in Disconnected Networks with Dynamic Topology: Moving Neighborhood Networks

We consider systems that are well modelled as networks that evolve in time, which we call Moving Neighborhood Networks. These models are relevant in studying cooperative behavior of swarms and other phenomena where emergent interactions arise from ad hoc networks. In a natural way, the time-averag...

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Main Authors: Joseph D. Skufca, Erik M. Bollt
Format: Article
Language:English
Published: AIMS Press 2004-06-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2004.1.347
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author Joseph D. Skufca
Erik M. Bollt
author_facet Joseph D. Skufca
Erik M. Bollt
author_sort Joseph D. Skufca
collection DOAJ
description We consider systems that are well modelled as networks that evolve in time, which we call Moving Neighborhood Networks. These models are relevant in studying cooperative behavior of swarms and other phenomena where emergent interactions arise from ad hoc networks. In a natural way, the time-averaged degree distribution gives rise to a scale-free network. Simulations show that although the network may have many noncommunicating components, the recent weighted time-averaged communication is sufficient to yield robust synchronization of chaotic oscillators. In particular, we contend that such time-varying networks are important to model in the situation where each agent carries a pathogen (such as a disease) in which the pathogen's life-cycle has a natural time-scale which competes with the time-scale of movement of the agents, and thus with the networks communication channels.
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spelling doaj-art-94a238d505d74fccbe5471f4a235feb92025-01-24T01:46:53ZengAIMS PressMathematical Biosciences and Engineering1551-00182004-06-011234735910.3934/mbe.2004.1.347Communication and Synchronization in Disconnected Networks with Dynamic Topology: Moving Neighborhood NetworksJoseph D. Skufca0Erik M. Bollt1Department of Mathematics, United States Naval Academy, Annapolis, MD 21402Deptartments of Mathematics, Computer Science, and Physics, Clarkson University, Potsdam, NY 13699We consider systems that are well modelled as networks that evolve in time, which we call Moving Neighborhood Networks. These models are relevant in studying cooperative behavior of swarms and other phenomena where emergent interactions arise from ad hoc networks. In a natural way, the time-averaged degree distribution gives rise to a scale-free network. Simulations show that although the network may have many noncommunicating components, the recent weighted time-averaged communication is sufficient to yield robust synchronization of chaotic oscillators. In particular, we contend that such time-varying networks are important to model in the situation where each agent carries a pathogen (such as a disease) in which the pathogen's life-cycle has a natural time-scale which competes with the time-scale of movement of the agents, and thus with the networks communication channels.https://www.aimspress.com/article/doi/10.3934/mbe.2004.1.347communication in complex networks.mathematical modeldisease spread in communitiesnonlinear dynamicsself-organizationepidemiology
spellingShingle Joseph D. Skufca
Erik M. Bollt
Communication and Synchronization in Disconnected Networks with Dynamic Topology: Moving Neighborhood Networks
Mathematical Biosciences and Engineering
communication in complex networks.
mathematical model
disease spread in communities
nonlinear dynamics
self-organization
epidemiology
title Communication and Synchronization in Disconnected Networks with Dynamic Topology: Moving Neighborhood Networks
title_full Communication and Synchronization in Disconnected Networks with Dynamic Topology: Moving Neighborhood Networks
title_fullStr Communication and Synchronization in Disconnected Networks with Dynamic Topology: Moving Neighborhood Networks
title_full_unstemmed Communication and Synchronization in Disconnected Networks with Dynamic Topology: Moving Neighborhood Networks
title_short Communication and Synchronization in Disconnected Networks with Dynamic Topology: Moving Neighborhood Networks
title_sort communication and synchronization in disconnected networks with dynamic topology moving neighborhood networks
topic communication in complex networks.
mathematical model
disease spread in communities
nonlinear dynamics
self-organization
epidemiology
url https://www.aimspress.com/article/doi/10.3934/mbe.2004.1.347
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AT erikmbollt communicationandsynchronizationindisconnectednetworkswithdynamictopologymovingneighborhoodnetworks