• DocumentCode
    3599931
  • Title

    Research on visualization of communication network in social topic

  • Author

    Boxin Mao ; Xin Jin ; Shan Liu ; Jianping Chai

  • Author_Institution
    Sch. of Inf. Eng., Commun. Univ. of China, Beijing, China
  • fYear
    2014
  • Firstpage
    656
  • Lastpage
    661
  • Abstract
    Visualization technology helps people find much information which is difficult to dig up with the conventional statistical methods, understand the dynamic variation law, so as to predict the development and the results of network better. In this paper, based on the relevant knowledge of complex network theory and communication, we use the huge amounts of data in the social network to set up communication network model in social topic, and improve the mechanical model of classical algorithm to realize the dynamic real-time visualization in the process of topic communication. The dynamic visualization of single and multiple topics explain the process and mechanism of information transmission intuitively.
  • Keywords
    complex networks; data visualisation; social networking (online); statistical analysis; communication network visualization; complex network theory; dynamic real-time visualization; dynamic variation law; dynamic visualization; information transmission; mechanical model; social network; social topic; statistical methods; topic communication; Communication networks; Computational modeling; Data visualization; Electronic publishing; Encyclopedias; Internet; Communication network; Dynamic visualization; Social network; Topic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Intelligence Systems (CCIS), 2014 IEEE 3rd International Conference on
  • Print_ISBN
    978-1-4799-4720-1
  • Type

    conf

  • DOI
    10.1109/CCIS.2014.7175816
  • Filename
    7175816