Design And Implementation Of Visual Analysis System Of Key Nodes In Social Network

The relations among the members of society are usually described by social networks.With the rapid development of Internet technology and The growing popularity of QQ,microblogging,blog,forum,email and other modern communication means,people have a lot of Internet social activities,forming a lot of complex social networks,generating a large number of network communication data,containing a large number of potential value information every day.Due to the lack of effective analysis methods of large-scale social network data,a large number of valuable information is lost,which seriously hinders the development of scientific research,how to analyze and excavate the value information in the social network quickly and accurately has become the focus of human attention.Data visualization technology is able to clearly show the complex large-scale social network through image,combining key nodes algorithms in social network,human-computer interaction,helps analyze and excavate the key nodes or key opinion leaders in a social network quickly,targeted surveillance the dynamic development trend or public opinion of the network,improve the network survivability.Social networks have some common characteristics: non-scale tagging,small-world effect and strong community structure.Combination of data visualization technology and social network characteristics: Using the circle to represent the members of the social network,using the edge to represent the relationships between the members of the social network,using the color to represent the community structure characteristics of nodes,using the circle size to represent the importance of the node,is able to effectively demonstrate attributes and characteristics of social network members with visual technology.The main research content of this thesis is to design and implement visual analysis system of key nodes in social network.The system combined with visualization,human-computer interaction,realizes six social network data analysis function of data import,community classification,key nodes analysis,data transformation,path tracking,output analysis results.The innovations of this thesis are as follows:(1)This thesis designs visual analysis system of key nodes in social network with the functions of data import,data processing,data visualization analysis and presentation,combining strategy model,community structure detecting algorithm,key nodes algorithm,etc.(2)This thesis realizes visual analysis system of key nodes in social network combined with the OSGI framework,Maven construction tools,D3 visualization tools.The system is designed to provide social network data visualization analysis platform.(3)This thesis realizes six key nodes algorithms.The six algorithms are combined to measure the importance of nodes in the social network from different angles,Analyzing the importance of nodes in the social network from multi angles through human computer interaction mode.