Title :
Modeling of scale-free network based on pagerank algorithm
Author :
Zhang, Yi ; Xu, Kaihua ; Liu, Yuhua ; Luo, Zhenrong
Author_Institution :
Dept. of Comput. Sci., Huazhong Normal Univ., Wuhan, China
Abstract :
BA scale-free network model ignores the appraisal which the node obtains in the network evolution. In the real system, new nodes tend to connect the nodes have been highly recognized. Therefore the paper presents a scale-free network model based on pagerank algorithm. The simulation experiment has showed the network dynamic generation process and obtained the degree distribution of BA model and new model under the same level scale. The simulation result indicated that the new model´s degree distribution presents the power-law distribution, which has similar with BA model.
Keywords :
complex networks; network theory (graphs); BA model; model degree distribution; pagerank algorithm; power law distribution; scale free network; Appraisal; Character generation; Complex networks; Computational modeling; Computer science; Educational institutions; IP networks; Power system modeling; Production; World Wide Web; BA model; degree distribution; pagerank;
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
DOI :
10.1109/ICFCC.2010.5497402