Computational Complex Networks, 2nd Edition

Topic Information

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

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Algorithms algorithms	2.1	4.5	2008	19.2 Days	CHF 1800	Submit
Complexities complexities	-	-	2025	15.0 days *	CHF 1000	Submit
Entropy entropy	2.0	5.2	1999	21.5 Days	CHF 2600	Submit
Fractal and Fractional fractalfract	3.3	6.0	2017	19.3 Days	CHF 2700	Submit
Information information	2.9	6.5	2010	20.9 Days	CHF 1800	Submit

* Median value for all MDPI journals in the second half of 2025.

Preprints.org is a multidisciplinary platform offering a preprint service designed to facilitate the early sharing of your research. It supports and empowers your research journey from the very beginning.

MDPI Topics is collaborating with Preprints.org and has established a direct connection between MDPI journals and the platform. Authors are encouraged to take advantage of this opportunity by posting their preprints at Preprints.org prior to publication:

1. Share your research immediately: disseminate your ideas prior to publication and establish priority for your work.
2. Safeguard your intellectual contribution: Protect your ideas with a time-stamped preprint that serves as proof of your research timeline.
3. Boost visibility and impact: Increase the reach and influence of your research by making it accessible to a global audience.
4. Gain early feedback: Receive valuable input and insights from peers before submitting to a journal.
5. Ensure broad indexing: Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Related Topic

Published Papers