Applications of Complex Networks, Mathematical Models and Data Analysis
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 7
Special Issue Editor
Interests: big data applications; IoT applications; data mining; crowdsourcing; human computation; recommendation system; social computing; computer networking
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the application of complex networks, mathematical models and data analysis. Complex networks can be used to describe natural, social, and artificial phenomena in the real world, such as food chains, the transmission of infections and rumors, the organization of text, and transportation networks. All systems in the real world that involve the interaction of entities can be abstracted as complex networks. In mathematical modeling, these complex networks can be formulated in terms of mathematical language to describe the behavior of the real world. Mathematical models are quantitative models that can include statistical models, fuzzy logic models and empirical relationships. Mathematical modeling is not only extensively employed in different disciplines, but also has an interdisciplinary nature depending on the problem of interest. Mathematical models are currently used in data analysis and predictions, with data analytics being utilized in nearly every field. Data analytics involves the process of collecting, organizing, and analyzing data to extract meaningful insights and trends. It enables organizations to obtain valuable information, promote informed decision-making and improve business outcomes. Data analytics utilizes various techniques and tools to process both structured and unstructured data, uncover hidden patterns, and provide actionable recommendations. The real-world applications of data analytics exert a significant impact on businesses, research and society.
Therefore, this Special Issue will accept unpublished original papers and comprehensive reviews whose scope includes, but is not limited to, the following topics:
- Complex network analysis of time series;
- Link predictability of complex networks;
- Complex dynamical networks: modelling, synchronization and control;
- Complex network analysis algorithm and application;
- Application of complex network analysis in digital humanities, such as text analysis and digital history;
- Interpretation of complex network measures, such as centralities and clustering coefficients, in the context of non-flow-based complex networks (e.g., semantic networks);
- Integration of traditional complex network analysis methods with modern mathematical modeling methods.
Dr. Connie Man-Ching Yuen
Guest Editor
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- complex networks
- complex dynamical networks
- mathematical modeling
- data Analysis
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