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
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;
Conference_Titel :
Advanced Communication Technology, 2004. The 6th International Conference on
Conference_Location :
Phoenix Park, Korea
Print_ISBN :
89-5519-119-7
DOI :
10.1109/ICACT.2004.1293000