Time varying networks and the weakness of strong ties

Márton Karsai, Nicola Perra, Alessandro Vespignani*

*Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    143 Citations (Scopus)
    197 Downloads (Pure)

    Abstract

    In most social and information systems the activity of agents generates rapidly evolving time-varying networks. The temporal variation in networks' connectivity patterns and the ongoing dynamic processes are usually coupled in ways that still challenge our mathematical or computational modelling. Here we analyse a mobile call dataset and find a simple statistical law that characterize the temporal evolution of users' egocentric networks. We encode this observation in a reinforcement process defining a time-varying network model that exhibits the emergence of strong and weak ties. We study the effect of time-varying and heterogeneous interactions on the classic rumour spreading model in both synthetic, and real-world networks. We observe that strong ties severely inhibit information diffusion by confining the spreading process among agents with recurrent communication patterns. This provides the counterintuitive evidence that strong ties may have a negative role in the spreading of information across networks.

    Original languageEnglish
    Article number4001
    Pages (from-to)1-7
    JournalScientific Reports
    Volume4
    DOIs
    Publication statusPublished - 10 Feb 2014
    MoE publication typeA1 Journal article-refereed

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