Distance in the forest fire model how far are you from Eve?

Varun Kanade, Reut Levi, Zvi Lotker, Prederik Mallmann-Trenn, Claire Mathieu

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Leskovec, Kleinberg and Faloutsos (2005) observed that many social networks exhibit properties such as shrinking (i.e. bounded) diameter, densification, and (power-law) heavy tail degree distributions. To explain these phenomena, they introduced a generative model, called the Forest Fire model, and using simulations showed that this model indeed exhibited these properties; however, proving this rigorously was left as an open problem. In this paper, we analyse one of these properties, shrinking diameter. We define a restricted version of their model that incorporates the main features that seem to contribute towards this property, and prove that the graphs generated by this model exhibit shrinking distance to the seed graph. We prove that an even simpler model, the random walk model, already exhibits this phenomenon.

    Original languageAmerican English
    Title of host publication27th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2016
    EditorsRobert Krauthgamer
    Pages1602-1620
    Number of pages19
    ISBN (Electronic)9781510819672
    DOIs
    StatePublished - 1 Jan 2016
    Event27th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2016 - Arlington, United States
    Duration: 10 Jan 201612 Jan 2016

    Publication series

    NameProceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms
    Volume3

    Conference

    Conference27th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2016
    Country/TerritoryUnited States
    CityArlington
    Period10/01/1612/01/16

    All Science Journal Classification (ASJC) codes

    • Software
    • General Mathematics

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