Special Issue "Complexity in Economic and Social Systems"
Deadline for manuscript submissions: closed (31 August 2020).
A printed edition of this Special Issue is available here.
2. Faculty of Computer Science and Telecommunications, Cracov University of Technology, 31-155 Kraków, Poland
Interests: complex systems; nuclear physics; quantum mechanics; multifractals; complex networks; nonlinear dynamics; deterministic chaos; random matrix theory; econophysics; quantitative linguistics
Interests: complex systems; complex networks; financial markets; natural language; fractal analysis
Whether complexity of a system is viewed in the purely intuitive sense of a nontrivial order that emerges spontaneously from an overall disorder or it is grasped more formally using one of several dozen mathematical, physical, and information-theoretic measures, we are surrounded by its signatures and face its manifestations almost everywhere. We are complex ourselves: We live in a society that is complex and we interact with others in a complex way. There is no exaggeration in a statement that our society is the most complex structure known to us in the universe. Social phenomena like the emergence of communication and cooperation, build-up of hierarchies and organizations, opinion formation, the emergence of political systems, and the structure and dynamics of financial markets are all among the iconic examples of the real-world complexity.
Specialists from such disciplines like mathematics, physics, information theory, and data science working together with econometrists, sociologists, quantitative linguists, and psychologists for more than a quarter century have already been dealing with such phenomena trying to describe them in a language of exact science, and to model and explain them using methods and tools that had earlier been applied successfully to natural systems. Although much has already been done and much has been achieved, the complexity of the social and economic systems is still far from being properly understood. This is why every possible effort and every meaningful contribution is welcome as it can bring us closer to the ultimate goal of understanding complexity both in reference to these systems in particular and as a physical phenomenon in general. It is also important to approach the problem from different angles by collecting many interdisciplinary works and views in one place like this Special Issue as human society eludes any narrow-scope, single-discipline analysis.
It thus becomes straightforward that we intend this Special Issue to cover a broad variety of complexity-related topics and methods in the following fields: macroeconomics, financial markets, epidemiology, opinion formation, social systems, quantitative linguistics, and time series analysis. We especially encourage to submit manuscripts that report studies carried out with models of heterogeneous interacting agents, complex networks, multifractal analysis, non-extensive statistical mechanics, and non-extensive entropy.
Prof. Dr. Stanisław Drożdż
Dr. Jarosław Kwapień
Dr. Paweł Oświęcimka
Manuscript Submission Information
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- quantitative linguistics
- data science
- time series analysis
- multifractal analysis
- non-extensive entropy
- complex networks
- social systems
- financial markets
- epidemic spreading