Applied Mathematics and Mechanics (English Edition) ›› 2006, Vol. 27 ›› Issue (11): 1475-1479 .doi: https://doi.org/10.1007/s10483-006-1104-1
• Articles • Previous Articles Next Articles
YANG Bo, DUAN Wen-qi, CHEN Zhong
Received:
Revised:
Online:
Published:
Contact:
Abstract: A new method and corresponding numerical procedure are introduced to estimate scaling exponents of power-law degree distribution and hierarchical clustering function for complex networks. This method can overcome the biased and inaccurate faults of graphical linear fitting methods commonly used in current network research. Furthermore, it is verified to have higher goodness-of-fit than graphical methods by comparing the KS (Kolmogorov-Smirnov) test statistics for 10 CNN (Connecting Nearest-Neighbor) networks.
Key words: parameter estimation, complex networks, power-law, degree distribution, hierarchical modularity
2010 MSC Number:
N94
62H12
91D30
90B18
YANG Bo;DUAN Wen-qi;CHEN Zhong. NEW METHOD TO ESTIMATE SCALING EXPONENTS OF POWER-LAW DEGREE DISTRIBUTION AND HIERARCHICAL CLUSTERING FUNCTION FOR COMPLEX NETWORKS. Applied Mathematics and Mechanics (English Edition), 2006, 27(11): 1475-1479 .
0 / / Recommend
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
URL: https://www.amm.shu.edu.cn/EN/10.1007/s10483-006-1104-1
https://www.amm.shu.edu.cn/EN/Y2006/V27/I11/1475
null