Title :
Evaluating Node Importance in Complex Network Based on Enron Database
Author :
Saisai Yu ; Feng Ye ; Chi Chi
Author_Institution :
Electron. Equip., Inst. of North, Beijing, China
Abstract :
With the development of social networks, how to evaluate the importance of node has become an important problem. In this paper, a method of evaluating node importance is proposed based on Email network model. The hierarchical structure is considered during this method and the corresponding evaluation model is proposed also. To illustrate the effect of this method, the difference is compared between it and classic approach, such as degree centrality, closeness centrality and betweenness centrality.
Keywords :
Internet; complex networks; database management systems; social networking (online); Email network model; Enron database; complex network; hierarchical structure; node importance evaluation; social networks; Complex networks; Correlation; Data mining; Data models; Electronic mail; Postal services; Social network services; information analysis; information gathering; social network;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2012 Second International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4673-5034-1
DOI :
10.1109/IMCCC.2012.219