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    WEBI
    2010
    Springer
    190views Internet Technology» more  WEBI 2010»
    Discovering Research Communities by Clustering Bibliographical Data
    13 years 5 months ago
    Discovering Research Communities by Clustering Bibliographical Data
    Download  bdd.univ-lyon2.fr
    Today's world is characterized by the multiplicity of interconnections through many types of links between the people, that is why mining social networks appears to be an impo...
    Fabrice Muhlenbach, Stéphane Lallich
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    DATESO
    2010
    148views Database» more  DATESO 2010»
    Using Spectral Clustering for Finding Students' Patterns of Behavior in Social Networks
    13 years 5 months ago
    Using Spectral Clustering for Finding Students' Patterns of Behavior in Social Networks
    Download  sunsite.informatik.rwth-aachen.de
    Abstract. The high dimensionality of the data generated by social networks has been a big challenge for researchers. In order to solve the problems associated with this phenomenon,...
    Gamila Obadi, Pavla Drázdilová, Jan ...
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    KDD
    2007
    ACM
    184views Data Mining» more  KDD 2007»
    Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis
    14 years 8 months ago
    Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis
    Download  www1bpt.bridgeport.edu
    To unravel the concept structure and dynamics of the bioinformatics field, we analyze a set of 7401 publications from the Web of Science and MEDLINE databases, publication years 1...
    Bart De Moor, Frizo A. L. Janssens, Wolfgang Gl&au...
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    BMCBI
    2007
    202views more  BMCBI 2007»
    ProtNet: a tool for stochastic simulations of protein interaction networks dynamics
    13 years 7 months ago
    ProtNet: a tool for stochastic simulations of protein interaction networks dynamics
    Download  www.biomedcentral.com
    Background: Protein interactions support cell organization and mediate its response to any specific stimulus. Recent technological advances have produced large data-sets that aim ...
    Massimo Bernaschi, Filippo Castiglione, Alessandra...
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    SDM
    2009
    SIAM
    167views Data Mining» more  SDM 2009»
    Detecting Communities in Social Networks Using Max-Min Modularity.
    14 years 4 months ago
    Detecting Communities in Social Networks Using Max-Min Modularity.
    Download  www.siam.org
    Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
    Jiyang Chen, Osmar R. Zaïane, Randy Goebel
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