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dc.contributor.authorToivonen, Riitta-
dc.contributor.authorCastelló, Xavier-
dc.contributor.authorEguíluz, Víctor M.-
dc.contributor.authorSaramäki, J.-
dc.contributor.authorKaski, K.-
dc.contributor.authorSan Miguel, Maxi-
dc.identifier.citationPhysical Review E 79(1): 016109 (2009)en_US
dc.description8 pages, 12 figures.-- PACS nrs.: 89.75.Hc; 89.65.-s; 89.75.Fb.-- ArXiv pre-print available at: http://arxiv.org/abs/0808.3318en_US
dc.description.abstractWe search for conditions under which a characteristic time scale for ordering dynamics toward either of two absorbing states in a finite complex network of interactions does not exist. With this aim, we study random networks and networks with mesoscale community structure built up from randomly connected cliques. We find that large heterogeneity at the mesoscale level of the network appears to be a sufficient mechanism for the absence of a characteristic time for the dynamics. Such heterogeneity results in dynamical metastable states that survive at any time scale.en_US
dc.description.sponsorshipThe authors acknowledge financial support from EU COST action P10 which enabled cooperation in the form of research visits. The work was also supported by the MEC (Spain) through the project FISICOS (Grant No. FIS2007-60327), by the European Commission through the NEST-Complexity project PATRES (Grant No. 043268), and by the Academy of Finland, Center of Excellence program. X.C. also acknowledges financial support from the Govern de les Illes Balears (Spain), and R.T. was also supported by the ComMIT graduate school.en_US
dc.format.extent458716 bytes-
dc.publisherAmerican Physical Societyen_US
dc.subjectComplex networksen_US
dc.subjectNetwork theory (graphs)en_US
dc.subjectNonlinear dynamical systemsen_US
dc.subjectRandom processesen_US
dc.subjectSelf-adjusting systemsen_US
dc.subject[PACS] Networks and genealogical treesen_US
dc.subject[PACS] Social and economic systemsen_US
dc.subject[PACS] Structures and organization in complex systemsen_US
dc.titleBroad lifetime distributions for ordering dynamics in complex networksen_US
dc.description.peerreviewedPeer revieweden_US
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