• DocumentCode
    1798729
  • Title

    Visualization research of the tweet diffusion in the microblog network

  • Author

    Jing Lu ; Xiaoqing Yu ; Wanggen Wan

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
  • fYear
    2014
  • fDate
    7-9 July 2014
  • Firstpage
    592
  • Lastpage
    595
  • Abstract
    With the development of big data technology, information visualization plays an increasingly important role in the social network, especially the microblog network. The path of the tweet diffusion shows the relationships among microblog users and constructs a directed network among them. The microblog data mining project and the visualization process of the tweet propagation are described in detail. The visualization results of the tweet propagation indicate that there are two typical transmission path patterns: the dandelion pattern and the double-star pattern. The visualization research may easily discover the key retweeting nodes in the tweet diffusion network.
  • Keywords
    Big Data; data mining; data visualisation; network theory (graphs); social networking (online); Big Data technology; information visualization; microblog data mining; microblog network; tweet diffusion network; Authorization; Data mining; Data visualization; Educational institutions; Layout; Uniform resource locators; Visualization; microblog; path; retweeting; tweet diffusion; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing (ICALIP), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-3902-2
  • Type

    conf

  • DOI
    10.1109/ICALIP.2014.7009863
  • Filename
    7009863