Propagation of confidential information on scale-free networks

Kosmas Kosmidis and Armin Bunde

Physica A: Statistical Mechanics and its Applications, 2007, vol. 376, issue C, 699-707

Abstract: We use Monte Carlo simulations and arguments from percolation theory in order to determine how “confidential” information propagates or localizes on a scale-free network. The basic assumption of our models is that this type of information propagates through the subnetwork of “best friends” which constitute a persons “circle of trust”. We find that there is a sharp percolation transition between a phase where “confidential” information localizes and a phase where “confidential” information propagates. This transition is controlled by the number of best friends m0 that a person is willing to have, and occurs for m0 values higher than intuitively expected from the “small world” property of random networks.

Keywords: Sociophysics; Information localization; Scale-free networks (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:376:y:2007:i:c:p:699-707

DOI: 10.1016/j.physa.2006.10.035

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