We study the effect of adaptivity on a social model of opinion dynamics and consensus formation. We analyse how the adaptivity of the network of contacts between agents to the underlying social dynamics affects the size and topological properties of groups and the convergence time to the stable final state. We find that, while on static networks these properties are determined by percolation phenomena, on adaptive networks the rewiring process leads to different behaviors: adaptive rewiring fosters group formation by enhancing communication between agents of similar opinion, though it also makes possible the division of clusters. We show how the convergence time is determined by the characteristic time of link rearrangement. We finally investigate how the adaptivity yields nontrivial correlations between the internal topology and the size of the groups of agreeing agents.
%0 Journal Article
%1 Kozma2008
%A Kozma, B.
%A Barrat, A.
%D 2008
%J J. Phys. A
%K networks opinion-formation voter-model graphs
%P 224020
%R 10.1088/1751-8113/41/22/224020
%T Consensus formation on coevolving networks: groups' formation and structure
%V 41
%X We study the effect of adaptivity on a social model of opinion dynamics and consensus formation. We analyse how the adaptivity of the network of contacts between agents to the underlying social dynamics affects the size and topological properties of groups and the convergence time to the stable final state. We find that, while on static networks these properties are determined by percolation phenomena, on adaptive networks the rewiring process leads to different behaviors: adaptive rewiring fosters group formation by enhancing communication between agents of similar opinion, though it also makes possible the division of clusters. We show how the convergence time is determined by the characteristic time of link rearrangement. We finally investigate how the adaptivity yields nontrivial correlations between the internal topology and the size of the groups of agreeing agents.
@article{Kozma2008,
abstract = {We study the effect of adaptivity on a social model of opinion dynamics and consensus formation. We analyse how the adaptivity of the network of contacts between agents to the underlying social dynamics affects the size and topological properties of groups and the convergence time to the stable final state. We find that, while on static networks these properties are determined by percolation phenomena, on adaptive networks the rewiring process leads to different behaviors: adaptive rewiring fosters group formation by enhancing communication between agents of similar opinion, though it also makes possible the division of clusters. We show how the convergence time is determined by the characteristic time of link rearrangement. We finally investigate how the adaptivity yields nontrivial correlations between the internal topology and the size of the groups of agreeing agents.},
added-at = {2011-01-13T13:26:05.000+0100},
author = {Kozma, B. and Barrat, A.},
biburl = {https://www.bibsonomy.org/bibtex/29b09318a654f9fd1950db8a56fc3fa11/rincedd},
doi = {10.1088/1751-8113/41/22/224020},
file = {Kozma2008 - Consensus formation on coevolving networks\: groups' formation and structure.pdf:Contact Processes/Kozma2008 - Consensus formation on coevolving networks\: groups' formation and structure.pdf:PDF},
interhash = {349212260c1f97a3126b7bb809f5dbf2},
intrahash = {9b09318a654f9fd1950db8a56fc3fa11},
journal = {J. Phys. A},
keywords = {networks opinion-formation voter-model graphs},
pages = 224020,
timestamp = {2011-01-13T13:26:05.000+0100},
title = {Consensus formation on coevolving networks: groups' formation and structure},
volume = 41,
year = 2008
}