Computational Complex Networks, 2nd Edition

Dear Colleagues,

Computational methods and models in complex networks have recently proved useful in investigating a variety of networked systems, where diverse network properties can be analyzed. They are widely applied in areas such as network communication, control, prediction, estimation, and security. Recently, fruitful achievements in the research of computation in complex networks have been reported in the literature. At the same time, with the deepening of research, many new problems and challenges have emerged. In particular, fractal theory and fractional calculus have provided powerful tools for characterizing the structural complexity, scaling behaviors, and dynamic processes of complex networks. Incorporating these perspectives can enhance the modeling of network heterogeneity, long‑range dependence, and memory effects. This Topic aims to provide the latest theoretical methods or practical algorithms for complex networks and their applications, including those that utilize fractal or fractional‑order approaches. It is hoped that the contents of this Topic can provide useful information and technical references for readers interested in this area to promote progress in network computation. This Topic has a wide scope, covering contributions from theoretical advances to practical applications.

Dr. Alexandre G. Evsukoff
Dr. Yilun Shang
Topic Editors