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Online social networks: modeling and mining: invited talk

Published: 09 February 2009 Publication History

Abstract

Online social networks have become major and driving phenomena on the Web. In this talk, we will address key modeling and algorithmic questions related to large online social networks. From the modeling perspective, we raise the question of whether there is a generative model for network evolution. The availability of time-stamped data makes it possible to study this question at an extremely fine granularity. We exhibit a simple, natural model that leads to synthetic networks with properties similar to the online ones. From an algorithmic viewpoint, we focus on data mining challenges posed by the magnitude of data in these networks. In particular, we examine topics related to influence and correlation in user activities and compressibility of such networks.

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  • (2011)Crawling Facebook for social network analysis purposesProceedings of the International Conference on Web Intelligence, Mining and Semantics10.1145/1988688.1988749(1-8)Online publication date: 25-May-2011

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  1. Online social networks: modeling and mining: invited talk

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    cover image ACM Conferences
    WSDM '09: Proceedings of the Second ACM International Conference on Web Search and Data Mining
    February 2009
    314 pages
    ISBN:9781605583907
    DOI:10.1145/1498759
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 09 February 2009

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    Author Tags

    1. evolution
    2. graph models
    3. influence
    4. social networks

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    Cited By

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    • (2011)Crawling Facebook for social network analysis purposesProceedings of the International Conference on Web Intelligence, Mining and Semantics10.1145/1988688.1988749(1-8)Online publication date: 25-May-2011

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