Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/237801 
Year of Publication: 
2021
Publisher: 
MDPI, Basel
Abstract: 
There is no term that better describes the essential features of human society than complexity. On various levels, from the decision-making processes of individuals, through to the interactions between individuals leading to the spontaneous formation of groups and social hierarchies, up to the collective, herding processes that reshape whole societies, all these features share the property of irreducibility, i.e., they require a holistic, multi-level approach formed by researchers from different disciplines. This Special Issue aims to collect research studies that, by exploiting the latest advances in physics, economics, complex networks, and data science, make a step towards understanding these economic and social systems. The majority of submissions are devoted to financial market analysis and modeling, including the stock and cryptocurrency markets in the COVID-19 pandemic, systemic risk quantification and control, wealth condensation, the innovation-related performance of companies, and more. Looking more at societies, there are papers that deal with regional development, land speculation, and the-fake news-fighting strategies, the issues which are of central interest in contemporary society. On top of this, one of the contributions proposes a new, improved complexity measure.
Subjects: 
Complexity
econophysics
sociophysics
quantitative linguistics
data science
time series analysis
multifractal analysis
non-extensive entropy
complex networks
social systems
financial markets
macroeconomics
epidemic spreading
Persistent Identifier of the first edition: 
ISBN: 
978-3-0365-0795-8
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Book
Document Version: 
Published Version
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