1. Complexity in Economic and Social Systems.
- Author
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Drożdż, Stanisław, Drożdż, Stanisław, Kwapień, Jarosław, and Oświęcimka, Paweł
- Subjects
Information technology industries ,BDS ,Baidu Index ,EMD ,Ethiopia ,Euler characteristic ,GARCH model ,IPO timing ,Kondratieff waves ,Lyapunov ,Nash equilibrium ,Polish Green Island effect ,Red Queen effect ,Shannon-entropy ,Tsallis entropy ,Zipf law ,agent-based computational economics ,agent-based modelling ,bargaining ,central-banking ,chaos ,cluster-entropy ,complex adaptive systems ,complex network ,complex networks ,complex systems ,complexity economics ,complexity in stock market ,complexity of IPOs ,complexity science ,conjunctural movements ,copula functions ,correlation coefficient ,correlation dimension ,correspondence analysis ,cross-shareholding network ,cryptocurrencies ,cybernetics ,detrended cross-correlations ,development ,discrete-time models ,dual graph ,dynamic game model ,dynamical complexity ,dynamics ,economic complexity ,econophysics ,edge of chaos ,entropic susceptibilities ,entropies ,entropy economics ,entropy weight TOPSIS ,evolutionarily stable strategies ,evolutionary dynamics ,evolutionary information search dynamics ,extreme returns ,fake news ,feedback loops ,finance ,financial institution ,financial markets ,forecasting market risk ,four-colour theorem ,gain function ,gender productivity gap ,general system theory ,generalized Pareto distribution ,generalized autoregressive conditional heteroscedasticity model (GARCH) ,homo oeconomicus ,inequality ,information demand ,information theory ,information transfer ,innovative activity ,irreversible processes ,jump volatility ,land acquisition ,leveraged trading ,liquidity benchmark ,liquidity proxy ,location quotient ,macroeconomics ,macroprudential policy ,manufacturing industry ,measure of economic development ,minimal spanning tree ,mixture of distribution hypothesis ,motivation ,multifractal analysis ,multivariate transfer entropy ,municipality ,mutual information ,n/a ,network theory ,non-ergodic ill-behaved inverse problems ,non-extensive cross-entropy econometrics ,non-linear dynamics ,nonlinear dynamics ,partial determination ,peaks over threshold ,platforms for participation ,power law ,pricing constraint ,prosumption ,public administration sector ,real estate ,real option ,recurrence plots ,rumor spreading ,self-exciting point process ,speculation ,stock exchange market ,stock market ,stock markets ,stock price crash risk ,structural entropy ,systemic risk ,threshold effect ,time series ,time series analysis ,transfer entropy ,universal complexity measure ,value at risk ,volatility clustering ,volatility estimate ,wealth condensation ,websites - Abstract
Summary: 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.