Mathematical Models and Applications of Complex Networks

Dear Colleagues,

Complex networks describe a wide range of systems in nature and society. Frequently cited examples include the cell, a network of chemicals linked by chemical reactions, and the Internet, a network of routers and computers connected by physical links. All the systems in the real world involving the interaction between entities can be abstracted as complex networks. The interpretation of the characteristics of real networks makes complex networks become one of the research hotspots in multi-disciplinary fields. At present, complex network research is penetrating into different fields such as mathematical science, biological science and engineering science. Scientific explanation of the qualitative and quantitative characteristics of complex network has become an extremely important challenge in the study of network age.

Therefore, this Special Issue will accept unpublished original papers and comprehensive reviews focused on, but not restricted to, the following research areas:

1）Statistical mechanics of complex networks

2）Evolution mechanics of complex networks

3）Complex network analysis of time series

4）Link predictability of complex networks

5）Complex dynamical networks: Modelling, synchronization and control

6）Machine learning in complex networks: Theory, model and algorithm

7)  Complex network analysis algorithm and application

Prof. Dr. Minggang Wang
Guest Editor

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