• DocumentCode
    3439815
  • Title

    Demonstrating Interactive Multi-resolution Large Graph Exploration

  • Author

    Zhiyuan Lin ; Nan Cao ; Hanghang Tong ; Fei Wang ; Kang, U. ; Duen Horng Chau

  • Author_Institution
    Coll. of Comput., Georgia Tech, Atlanta, GA, USA
  • fYear
    2013
  • fDate
    7-10 Dec. 2013
  • Firstpage
    1097
  • Lastpage
    1100
  • Abstract
    We present a scalable, interactive graph visualization system to support multi-resolution exploration of million-node graphs in real time. By adapting a state-of-the-art graph algorithm, called Slash & Burn, our prototype system generates a multi-resolution view of graphs with up to 69 million edges under a few seconds. We are experimenting with interaction techniques that help users interactively explore this overview and drill down into details. While many visualization systems for million-node graphs require dedicated servers to process the graphs, our prototype runs on a commodity laptop computer. We aim to handle graphs that are at least an order of magnitude (100M edges) larger than what current systems can support. We demonstrate our system´s usage, benefits, and scalability using two large graphs: a Live Journal friendship network with 69 million edges, and a related-movies network from Rotten Tomatoes with 200K edges.
  • Keywords
    data visualisation; graph theory; interactive systems; LiveJournal friendship network; Rotten Tomatoes; commodity laptop computer; graph handling; interaction techniques; interactive graph visualization system; interactive multiresolution large graph exploration; multiresolution million-node graphs exploration; related-movies network; slash-&-burn graph algorithm; Computers; Conferences; Data mining; Motion pictures; Prototypes; Real-time systems; Visualization; graph decomposition; hubs and spokes; interactive graph visualization; multi-resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops (ICDMW), 2013 IEEE 13th International Conference on
  • Conference_Location
    Dallas, TX
  • Print_ISBN
    978-1-4799-3143-9
  • Type

    conf

  • DOI
    10.1109/ICDMW.2013.124
  • Filename
    6754046