Complex Network Analysis and Time Series Application
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Network Science".
Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 897
Special Issue Editors
Interests: biophysics; globalization; time series analysis; econophysics; financial time series
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the contemporary studies of complex systems, the network theory frequently plays a fundamental role. This is the natural consequence of the internal system's structures (food chains, epidemic spread, social interactions, efficiency of transport systems, economy networks, clique analysis, power greed blackout, electricity production forecast, and many others). Moreover, the development of network theory made it a universal language suitable for fundamental and applied sciences, e.g., mathematics, physics, biology, social sciences, ecology, transport, economy, or power grid. In this framework, various phenomena can be discussed along network topology, statistical properties, and its evolution, as well as the forecasting of systems.
The Special Issue aims to present original works as well as review papers related to advances in fundamentals and applied studies of structure, evolution, and forecasting of complex networks.
Potential topics include but are not limited to:
- Complex networks;
- Machine learning;
- Evolving network analysis;
- Spatiotemporal coherence and clustering;
- Time series forecasting;
- Nonlinear time series analysis.
I cordially invite the authors to submit their recent results to this Special Issue to capture state-of-the-art research in the various aspects of complex network theory.
Prof. Dr. Janusz Miśkiewicz
Prof. Dr. Giulia Rotundo
Guest Editors
Manuscript Submission Information
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