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International Transactions on Data Science, Engineering and Technology
Vol. 3, No. 1, Mar. 2020
Complex Networks, Communities and Fuzzy Structures | Miscellaneous
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Editors' Choice |
| Miscellaneous |
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a Beijing University of Posts and Telecommunications, Beijing, China
b Central University of Finance and Economics, Beijing, China
Dr. Hui-Jia Li
 orcid.org/0000-0003-1000-717X
 Corresponding Author
 Affiliation: Beijing University of Posts and Telecommunications, Beijing, China
 Tel: 010-62288622
Phone: 15116987861  E-mail: hjli@amss.ac.cn
2nd e-mail: lihuu2000@126.com  Webpage: http://zhangroup.aporc.org/HuijiaLi
 Biography: Dr. Hui-Jia Li received Ph.D. degrees from Academy of Mathematics & Systems Science, Chinese Academy of Sciences Beijing, China, in 2013. Now he is a Distinguished Research Fellow, School of Science, Beijing University of Posts and Telecommunications, Beijing, China. Dr. Hui-Jia Li has published more than 80 papers, including PNAS, Physics of Life Reviews, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Cybernetic, Physical Review E, Scientific Reports. Now He is the editor board number of Frontier of Physics, Plos One, Plagrave Communications and so on, and the Outstanding Reviewers of more than 10 Elsevier journals.
Dr. Hui-Jia Li's publications in ICSES
- Complex Networks, Communities and Fuzzy Structures
ICSES Transactions on Data Science, Engineering and Technology
Miscellaneous | Vol. 3, No. 1 | Pages 1-4 | Mar. 2020
Hui-Jia Li, Hui-Dong Wu - Game and Evolutionary Game Theory
ICSES Transactions on Evolutionary and Metaheuristic Algorithms
Miscellaneous | Vol. 5, No. 1 | Pages 1-4 | Mar. 2019
Hui-Jia Li, Guijun Li, Jun Hu - Network Science and Dynamical Networks
ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data
Miscellaneous | Vol. 2, No. 3 | Pages 1-3 | Sep. 2018
Hui-Jia Li
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This article has been retracted by International Computer Science and Engineering Society (ICSES) because of ethical misconduct, scientific distortion, or administrative error, and cannot be downloaded and used for any purpose based on the violation in ICSES Ethics in Publicationcall_made |
Retraction Note by the Editor-in-Chief
Highlights and Novelties
1- The most important issues on community detection problem were reviewed, including the properties of community structure in complex networks.
2- An important type of communities, i.e. the fuzzy communities and the applications and challenges of community detection works.
3- After these explanations of the nature of the community structure in complex network, we can have a clear landscape of the growth of community detection technology.
Manuscript Abstract
Community detection has many potential applications from Computer Science to Biology. The main purpose of community detection is to unveil the community structure of the network. Having the community structure, one can understand the functional properties of the network. In this paper, the most important issues on community detection problem were reviewed, including the properties of community structure in complex networks, an important type of communities, i.e. the fuzzy communities and the applications and challenges of community detection works. After these explanations of the nature of the community structure in complex network, we can have a clear landscape of the growth of community detection technology.On the other hand, the quality measures are used where the true communities are not available and they estimate how much a partition is meaningful with respect to other partitions. Finally, in order to compare the performance of the algorithms, one needs to test them on some benchmark graph. So far, only few benchmark networks have been proposed for evaluating community detection methods. The most prevalent one are the GN, the LFR, and the ring of cliques benchmark graphs.
Keywords
Complex networks Community structure Fuzzy communities Signed networks
Copyright and Licence
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors. This manuscript is published in Open-Access manner based on the copyright licence of Creative Commons Attribution Non Commercial 4.0 International (CC BY-NC 4.0).
Cite this manuscript as
Hui-Jia Li, Hui-Dong Wu, "Complex Networks, Communities and Fuzzy Structures," International Transactions on Data Science, Engineering and Technology, vol. 3, no. 1, pp. 1-4, Mar. 2020.
For External Scientific Databeses
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title="Complex Networks, Communities and Fuzzy Structures",
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author="Hui-Dong Wu",
journal="International Transactions on Data Science, Engineering and Technology (ITDSET)",
volume="3",
number="1",
pages="1-4",
year="2020",
month="03",
day="30",
publisher= "International Computer Science and Engineering Society (ICSES)",
doi="",
url="http://www.i-cses.com/files/download.php?pID=324"}
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