Netinfo Security ›› 2016, Vol. 16 ›› Issue (9): 158-162.doi: 10.3969/j.issn.1671-1122.2016.09.032

• Orginal Article • Previous Articles     Next Articles

Complex Network Based Visualization System of Social Media Analysis Content Security

Yujing ZHOU1,2,3(), Jiahui SHEN1, Haitao QIU4, Daren ZHA1   

  1. 1. Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China
    2. Data Assurance and Communication Security Research Center, Chinese Academy of Sciences, Beijing 100093, China
    3. University of Chinese Academy of Sciences, Beijing 100049, China
    4. Aerospace Long-March International Trade Co., Ltd., Beijing 100071, China
  • Received:2016-07-25 Online:2016-09-20 Published:2020-05-13

Abstract:

With the drastic explosion of the social network, social media has gradually become the indispensable part of people’s communication life. It rises the importance of social media mining which analyzes on both the social network and individual’s behavior. The supervision of the social media content has become the pivot of maintaining the harmony and stability of the society. According to this background and our observation in this paper, we propose a social media topology expression and analysis system based on the complex network technology, and it utilizes the combination of visualization method in assistance of users obtaining more intuitional information for nasalization and decision making. The system consists of three main analysis modules: network statistical feature analysis, key figure discovery, and community discovery. The three parts’ complementary combination also clearly shows connections and logical relation with each other. Finally, we demonstrate the rationality and availability of the system by the case analysis of a company.

Key words: complicated network, community discovery, visualization analysis

CLC Number: