Modularity produces small-world networks with dynamical time-scale separation

dc.creatorPan, Raj Kumar
dc.creatorSinha, Sitabhra
dc.date2008-02-25
dc.date2009-04-07
dc.date.accessioned2026-07-07T13:00:29Z
dc.date.available2026-07-07T13:00:29Z
dc.descriptionThe functional consequences of local and global dynamics can be very different in natural systems. Many such systems have a network description that exhibits strong local clustering as well as high communication efficiency, often termed as small-world networks (SWN). We show that modular organization in otherwise random networks generically give rise to SWN, with a characteristic time-scale separation between fast intra-modular and slow inter-modular processes. The universality of this dynamical signature, that distinguishes modular networks from earlier models of SWN, is demonstrated by processes as different as spin-ordering, synchronization and diffusion.
dc.description6 pages, 7 figures. Published version, Results and figures of additional dynamics have been included
dc.identifierhttps://arxiv.org/abs/0802.3671
dc.identifierhttp://arxiv.org/abs/0802.3671
dc.identifierEurophys. Lett. 85, 68006 (2009)
dc.identifierdoi:10.1209/0295-5075/85/68006
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/225852
dc.subjectBiological Physics
dc.subjectDisordered Systems and Neural Networks
dc.subjectPhysics and Society
dc.titleModularity produces small-world networks with dynamical time-scale separation
dc.typetext

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