NDLI: A genetic algorithm using K-path initialization for community detection in complex networks

Content Provider	Springer Nature Link
Author	Meng, Xiangyu Dong, Liyan Li, Yongli Guo, William W.
Copyright Year	2016
Abstract	Genetic algorithms have been used in community detection due to their efficiency and accuracy in automatic discovery of communities in complex networks. The traditional method of population initialization for genetic algorithms does not fully consider topology of a network. Therefore, the quality of the initial population may be poor, which may consequently slow down the convergence of the entire process. According to the characteristics of social networks, we propose a K-path initialization method which makes full use of the topological information of a given network. The main focus of our study is to find whether a K-path initialized generic algorithm can bring significant increase in Q value after the FIRST iteration, and to prove whether such algorithm can accelerate the convergence of the entire process for faster community detection over a randomly initialized genetic algorithm. By applying this new algorithm to Karate, Football, and Jazz, we found that the K-path initialized algorithm can increase the Q value by 50–160% on average over that without using K-path initialization after the first round of iteration. This initial advantage is then accumulated during the subsequent iterations by reducing the number of total iterations by at least 28% and at most 41%.
Starting Page	311
Ending Page	320
Page Count	10
File Format	PDF
ISSN	13867857
Journal	Cluster Computing
Volume Number	20
Issue Number	1
e-ISSN	15737543
Language	English
Publisher	Springer US
Publisher Date	2016-12-08
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Social networks Community detection K-path initialization Genetic algorithms Processor Architectures Operating Systems Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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