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    SDM
    2009
    SIAM
    104views Data Mining» more  SDM 2009»
    On Randomness Measures for Social Networks.
    15 years 6 months ago
    On Randomness Measures for Social Networks.
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    Social networks tend to contain some amount of randomness and some amount of non-randomness. The amount of randomness versus non-randomness affects the properties of a social netw...
    Xiaowei Ying, Xintao Wu
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    SDM
    2009
    SIAM
    162views Data Mining» more  SDM 2009»
    Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.
    15 years 6 months ago
    Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.
    Download  www.siam.org
    We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...
    Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanish...
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    SDM
    2009
    SIAM
    208views Data Mining» more  SDM 2009»
    Topic Evolution in a Stream of Documents.
    15 years 6 months ago
    Topic Evolution in a Stream of Documents.
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    Document collections evolve over time, new topics emerge and old ones decline. At the same time, the terminology evolves as well. Much literature is devoted to topic evolution in ...
    Alexander Hinneburg, Andrè Gohr, Myra Spili...
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    SDM
    2009
    SIAM
    113views Data Mining» more  SDM 2009»
    Graph Generation with Prescribed Feature Constraints.
    15 years 6 months ago
    Graph Generation with Prescribed Feature Constraints.
    Download  www.sis.uncc.edu
    In this paper, we study the problem of how to generate synthetic graphs matching various properties of a real social network with two applications, privacy preserving social netwo...
    Xiaowei Ying, Xintao Wu
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    WISE
    2009
    Springer
    142views Internet Technology» more  WISE 2009»
    Clustering of Social Tagging System Users: A Topic and Time Based Approach
    15 years 6 months ago
    Clustering of Social Tagging System Users: A Topic and Time Based Approach
    Download  oswinds.csd.auth.gr
    Abstract. Under Social Tagging Systems, a typical Web 2.0 application, users label digital data sources by using freely chosen textual descriptions (tags). Mining tag information r...
    Vassiliki A. Koutsonikola, Athena Vakali, Eirini G...
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