Title :
A Growing Network Model with High Hub Connectivity and Tunable Clustering Coefficient
Author :
Hsiao, Ping-Nan ; Tsai, Yihjia ; Huang, Wen-Fa ; Lin, Cheng-Chin
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Tamkang Univ., Tamsui
Abstract :
The paper suggests a model for social network based on a growing network. The model we propose can fit the following two properties: (1) ´scale-free property´ which has power law degree distribution, and (2) ´small-world property´ which has high clustering coefficient. In addition, the model is modified to match the s-metric property. The s-metric property describes the level of high degree nodes connected to other ones, which was proposed in 2005.
Keywords :
computer networks; electronic mail; email network; hub connectivity; power law degree distribution; s-metric property; scale-free property; small-world property; tunable clustering coefficient; Computational modeling; Computer science; Computer simulation; Computer viruses; Information technology; Joining processes; Lattices; Paper technology; Power engineering and energy; Social network services; growing network; s-metric; scale-free; small-world; social network model;
Conference_Titel :
Advanced Communication Technology, The 9th International Conference on
Conference_Location :
Gangwon-Do
Print_ISBN :
978-89-5519-131-8
DOI :
10.1109/ICACT.2007.358803
