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Herman, I., Melancon, G. and Marshall, M.S. (2000) Graph Visualization and Navigation in Information Visualization: A Survey. IEEE Transactions on Visualization & Computer Graphics, 6, 24-43.
https://doi.org/10.1109/2945.841119
http://doi.ieeecomputersociety.org/10.1109/2945.841119

has been cited by the following article:

• TITLE: Research on Accurate Information Pushing Based on Human Network

  AUTHORS: Meijie Yang, Yu Wang, Xiaorong Hou

  KEYWORDS: Social Network Analysis, Human Network, Small World, Subgroup, Key Nodes: Precise and Efficient Information, Information Transmission

  JOURNAL NAME: Social Networking, Vol.6 No.2, April 30, 2017

  ABSTRACT: Based on the social network analysis methods and human network, this paper randomly selected 44 students (31 males and 13 females) as the research objects, and it used the UCINET software to analyze the friendship between them of which 43 used WeChat and 44 used QQ, and it also used the tool Netdraw to visualize the network sociogram. By mining the four aspects of density, accessibility, centrality, block model, the results demonstrated that QQ social network and WeChat social network existed the phenomenon of small world, leaders and subgroups, and the key nodes of QQ human network were more than WeChat network. Through using the key nodes, it can push the precise and efficient information and improve the accuracy of information transmission and impact among network members.