Title :
Detecting the Key Links by Community Detecting Algorithms
Author :
Xiao-Niu Yang ; Hong-Wa Yang ; Zhen Wu ; Zhe-Ming Lu
Author_Institution :
Sci. & Technol. on Commun. Inf. Security Control Lab., Jiaxing, China
Abstract :
For a complex network, detecting the key links is of great importance. In recent years, many community detecting algorithms have been proposed, which have both advantages and disadvantages. In this paper, we propose and compare some classical community detecting algorithms and choose the best one of them to detect the key links of the complex network.
Keywords :
complex networks; mobile ad hoc networks; telecommunication links; MANET; community detecting algorithms; complex network; key links detection; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Communities; Complex networks; Image edge detection; Partitioning algorithms; MANET; community structure; complex network; data mining; key links;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/IMCCC.2013.216
