VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Visual analysis of large graphs using ▫$(X,Y)$▫-clustering and hybrid visualizations
    Batagelj, Vladimir ...
    Many different approaches have been proposed for the challenging problem of visually analyzing large networks. Clustering is one of the most promising. In this paper, we propose a new clustering ... technique whose goal is that of producing both intracluster graphs and intercluster graph with desired topological properties. We formalize this concept in the ▫$(X,Y)$▫-clustering framework, where ▫$Y$▫ is the class that defines the desired topological properties of intracluster graphs and ▫$X$▫ is the class that defines the desired topological properties of the intercluster graph. By exploiting this approach, hybrid visualization tools can effectively combine different node-link and matrix-based representations, allowing users to interactively explore the graph by expansion/contraction of clusters without loosing their mental map. As a proof of concept, we describe the system Visual Hybrid ▫$(X,Y)$▫-clustering (VHYXY) that implements our approach and we present the results of case studies to the visual analysis of social networks.
    Vir: IEEE transactions on visualization and computer graphics : special section on the IEEE Pacific Visualization Symposium (Str. 1587-1598)
    Vrsta gradiva - prispevek na konferenci
    Leto - 2011
    Jezik - angleški
    COBISS.SI-ID - 16097881

    Povezava(-e):

    http://dx.doi.org/10.1109/TVCG.2010.265

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