DocumentCode
2903845
Title
Scale-free, small-world model for network communication
Author
Yihjia Tsai ; Ping-Nan Hsiao ; Ching-Chang Lin ; Wen-Fa Huang
Author_Institution
Tanikang University
Volume
2
fYear
2004
fDate
9-11 Feb. 2004
Firstpage
903
Lastpage
908
Abstract
Recently, the small world network model has been popular to describe human social relations and networks formed by biological entities such as neurons. The network model achieves small diameter with relatively few links as measured by the ratio of clustering coefficient and the number of links. It is quite natural to consider email communication as similar to social network pattern. Quite surprisingly we find from our empirical study that email network follows a different type of network model that falls into the category of scale-free network. We propose new network models to describe such communication topology.
Keywords
Biological system modeling; Biology; Computer science; Electronic mail; Humans; Joining processes; Lattices; Network topology; Neurons; Probability distribution; clustering coefficient; email network; scale free; simulation; small world;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Communication Technology, 2004. The 6th International Conference on
Conference_Location
Phoenix Park, Korea
Print_ISBN
89-5519-119-7
Type
conf
DOI
10.1109/ICACT.2004.1293000
Filename
1293000
Link To Document