Consensus formation on adaptive networks Export

@article{citeulike:2443722, abstract = {The structure of a network can significantly influence the properties of the dynamical processes that take place on them. While many studies have been paid to this influence, much less attention has been devoted to the interplay and feedback mechanisms between dynamical processes and network topology on adaptive networks. Adaptive rewiring of links can happen in real life systems such as acquaintance networks, where people are more likely to maintain a social connection if their views and values are similar. In our study, we consider different variants of a model for consensus formation. Our investigations reveal that the adaptation of the network topology fosters cluster formation by enhancing communication between agents of similar opinion, although it also promotes the division of these clusters. The temporal behavior is also strongly affected by adaptivity: while, on static networks, it is influenced by percolation properties, on adaptive networks, both the early and late time evolutions of the system are determined by the rewiring process. The investigation of a variant of the model reveals that the scenarios of transitions between consensus and polarized states are more robust on adaptive networks.}, archivePrefix = {arXiv}, author = {Kozma, Balazs and Barrat, Alain}, citeulike-article-id = {2443722}, citeulike-linkout-0 = {http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=PLEEE8000077000001016102000001&idtype=cvips&gifs=yes}, citeulike-linkout-1 = {http://link.aps.org/abstract/PRE/v77/e016102}, citeulike-linkout-2 = {http://arxiv.org/abs/0707.4416}, citeulike-linkout-3 = {http://arxiv.org/pdf/0707.4416}, citeulike-linkout-4 = {http://dx.doi.org/10.1103/PhysRevE.77.016102}, citeulike-linkout-5 = {http://adsabs.harvard.edu/cgi-bin/nph-bib_query?bibcode=2008PhRvE..77a6102K}, doi = {10.1103/PhysRevE.77.016102}, eprint = {0707.4416}, issn = {1539-3755}, journal = {Physical Review E}, keywords = {adaptive, consensus, network}, month = {January}, number = {1}, posted-at = {2008-02-28 14:05:09}, priority = {2}, publisher = {APS}, title = {Consensus formation on adaptive networks}, url = {http://dx.doi.org/10.1103/PhysRevE.77.016102}, volume = {77}, year = {2008} }

TY - JOUR ID - citeulike:2443722 L3 - citeulike-article-id:2443722 N2 - The structure of a network can significantly influence the properties of the dynamical processes that take place on them. While many studies have been paid to this influence, much less attention has been devoted to the interplay and feedback mechanisms between dynamical processes and network topology on adaptive networks. Adaptive rewiring of links can happen in real life systems such as acquaintance networks, where people are more likely to maintain a social connection if their views and values are similar. In our study, we consider different variants of a model for consensus formation. Our investigations reveal that the adaptation of the network topology fosters cluster formation by enhancing communication between agents of similar opinion, although it also promotes the division of these clusters. The temporal behavior is also strongly affected by adaptivity: while, on static networks, it is influenced by percolation properties, on adaptive networks, both the early and late time evolutions of the system are determined by the rewiring process. The investigation of a variant of the model reveals that the scenarios of transitions between consensus and polarized states are more robust on adaptive networks. IS - 1 JF - Physical Review E SN - 1539-3755 TI - Consensus formation on adaptive networks PB - APS VL - 77 KW - adaptive KW - consensus KW - network AU - Kozma, Balazs AU - Barrat, Alain PY - 2008/01// UR - http://dx.doi.org/10.1103/PhysRevE.77.016102 ER -