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Editorial

Research Frontier in Chaos Theory and Complex Networks

1
Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China
2
Department of Mathematics and Computer Science, Avram Iancu University, 400380 Cluj-Napoca, Romania
3
Romanian Institute of Science and Technology, Str. Ciresilor nr. 29, 400487 Cluj-Napoca, Romania
4
School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan 430074, China
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Instituto de Ciencias Nucleares, Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, 04510 D.F. Ciudad de México, Mexico
6
Software College, Northeastern University, Shenyang 110169, China
*
Author to whom correspondence should be addressed.
Entropy 2018, 20(10), 734; https://doi.org/10.3390/e20100734
Received: 21 September 2018 / Accepted: 21 September 2018 / Published: 25 September 2018
(This article belongs to the Special Issue Research Frontier in Chaos Theory and Complex Networks)
Note: In lieu of an abstract, this is an excerpt from the first page.

In recent years, as natural and social sciences are rapidly evolving, classical chaos theory
and modern complex networks studies are gradually interacting each other with a great joined
development [...] View Full-Text
MDPI and ACS Style

Chen, G.; Danca, M.-F.; Yang, X.; Martinez, G.J.; Yu, H. Research Frontier in Chaos Theory and Complex Networks. Entropy 2018, 20, 734. https://doi.org/10.3390/e20100734

AMA Style

Chen G, Danca M-F, Yang X, Martinez GJ, Yu H. Research Frontier in Chaos Theory and Complex Networks. Entropy. 2018; 20(10):734. https://doi.org/10.3390/e20100734

Chicago/Turabian Style

Chen, Guanrong, Marius-F. Danca, Xiaosong Yang, Genaro J. Martinez, and Hai Yu. 2018. "Research Frontier in Chaos Theory and Complex Networks" Entropy 20, no. 10: 734. https://doi.org/10.3390/e20100734

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