| 000 | 07154naaaa2201849uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/76295 | ||
| 005 | 20220714183828.0 | ||
| 020 | _abooks978-3-0365-0795-8 | ||
| 020 | _a9783036507941 | ||
| 020 | _a9783036507958 | ||
| 024 | 7 |
_a10.3390/books978-3-0365-0795-8 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 072 | 7 |
_aKNTX _2bicssc |
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| 100 | 1 |
_aDrożdż, Stanisław _4edt _91603921 |
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| 700 | 1 |
_aKwapień, Jarosław _4edt _91603922 |
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| 700 | 1 |
_aOświęcimka, Paweł _4edt _91603923 |
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| 700 | 1 |
_aDrożdż, Stanisław _4oth _91603921 |
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| 700 | 1 |
_aKwapień, Jarosław _4oth _91603922 |
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| 700 | 1 |
_aOświęcimka, Paweł _4oth _91603923 |
|
| 245 | 1 | 0 | _aComplexity in Economic and Social Systems |
| 260 |
_aBasel, Switzerland _bMDPI - Multidisciplinary Digital Publishing Institute _c2021 |
||
| 300 | _a1 electronic resource (534 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aThere 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. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0/ _2cc _4https://creativecommons.org/licenses/by/4.0/ |
||
| 546 | _aEnglish | ||
| 650 | 7 |
_aInformation technology industries _2bicssc _91081039 |
|
| 653 | _avolatility clustering | ||
| 653 | _aBaidu Index | ||
| 653 | _ainformation demand | ||
| 653 | _ageneralized autoregressive conditional heteroscedasticity model (GARCH) | ||
| 653 | _amixture of distribution hypothesis | ||
| 653 | _aspeculation | ||
| 653 | _aland acquisition | ||
| 653 | _amotivation | ||
| 653 | _areal estate | ||
| 653 | _adevelopment | ||
| 653 | _aEthiopia | ||
| 653 | _asystemic risk | ||
| 653 | _amacroprudential policy | ||
| 653 | _aagent-based modelling | ||
| 653 | _ainequality | ||
| 653 | _acentral-banking | ||
| 653 | _ainformation transfer | ||
| 653 | _atransfer entropy | ||
| 653 | _astock markets | ||
| 653 | _aeconophysics | ||
| 653 | _acomplexity science | ||
| 653 | _ainformation theory | ||
| 653 | _aeconomic complexity | ||
| 653 | _aevolutionary dynamics | ||
| 653 | _anetwork theory | ||
| 653 | _aleveraged trading | ||
| 653 | _astock price crash risk | ||
| 653 | _athreshold effect | ||
| 653 | _acomplexity in stock market | ||
| 653 | _aentropy economics | ||
| 653 | _anon-extensive cross-entropy econometrics | ||
| 653 | _anon-ergodic ill-behaved inverse problems | ||
| 653 | _ageneral system theory | ||
| 653 | _anon-linear dynamics | ||
| 653 | _acomplex adaptive systems | ||
| 653 | _ahomo oeconomicus | ||
| 653 | _aedge of chaos | ||
| 653 | _acomplexity economics | ||
| 653 | _apricing constraint | ||
| 653 | _aIPO timing | ||
| 653 | _adynamic game model | ||
| 653 | _areal option | ||
| 653 | _acomplexity of IPOs | ||
| 653 | _afinancial institution | ||
| 653 | _acomplex network | ||
| 653 | _ajump volatility | ||
| 653 | _aentropy weight TOPSIS | ||
| 653 | _astructural entropy | ||
| 653 | _astock market | ||
| 653 | _aEMD | ||
| 653 | _acluster-entropy | ||
| 653 | _aShannon-entropy | ||
| 653 | _afinancial markets | ||
| 653 | _atime series | ||
| 653 | _adynamics | ||
| 653 | _aTsallis entropy | ||
| 653 | _acopula functions | ||
| 653 | _across-shareholding network | ||
| 653 | _afinance | ||
| 653 | _acryptocurrencies | ||
| 653 | _amultivariate transfer entropy | ||
| 653 | _acomplex networks | ||
| 653 | _aliquidity proxy | ||
| 653 | _aliquidity benchmark | ||
| 653 | _avolatility estimate | ||
| 653 | _acorrelation coefficient | ||
| 653 | _apartial determination | ||
| 653 | _amutual information | ||
| 653 | _aforecasting market risk | ||
| 653 | _avalue at risk | ||
| 653 | _aextreme returns | ||
| 653 | _apeaks over threshold | ||
| 653 | _aself-exciting point process | ||
| 653 | _adiscrete-time models | ||
| 653 | _ageneralized Pareto distribution | ||
| 653 | _adynamical complexity | ||
| 653 | _auniversal complexity measure | ||
| 653 | _airreversible processes | ||
| 653 | _aentropies | ||
| 653 | _aentropic susceptibilities | ||
| 653 | _acomplex systems | ||
| 653 | _amultifractal analysis | ||
| 653 | _adetrended cross-correlations | ||
| 653 | _aminimal spanning tree | ||
| 653 | _awealth condensation | ||
| 653 | _aagent-based computational economics | ||
| 653 | _abargaining | ||
| 653 | _again function | ||
| 653 | _amacroeconomics | ||
| 653 | _ainnovative activity | ||
| 653 | _amanufacturing industry | ||
| 653 | _aconjunctural movements | ||
| 653 | _acybernetics | ||
| 653 | _afeedback loops | ||
| 653 | _acorrespondence analysis | ||
| 653 | _aPolish Green Island effect | ||
| 653 | _aRed Queen effect | ||
| 653 | _aKondratieff waves | ||
| 653 | _apower law | ||
| 653 | _aZipf law | ||
| 653 | _agender productivity gap | ||
| 653 | _afake news | ||
| 653 | _arumor spreading | ||
| 653 | _aNash equilibrium | ||
| 653 | _aevolutionarily stable strategies | ||
| 653 | _aevolutionary information search dynamics | ||
| 653 | _anonlinear dynamics | ||
| 653 | _achaos | ||
| 653 | _atime series analysis | ||
| 653 | _astock exchange market | ||
| 653 | _aLyapunov | ||
| 653 | _arecurrence plots | ||
| 653 | _aBDS | ||
| 653 | _acorrelation dimension | ||
| 653 | _aGARCH model | ||
| 653 | _ameasure of economic development | ||
| 653 | _awebsites | ||
| 653 | _apublic administration sector | ||
| 653 | _amunicipality | ||
| 653 | _afour-colour theorem | ||
| 653 | _aprosumption | ||
| 653 | _aplatforms for participation | ||
| 653 | _alocation quotient | ||
| 653 | _adual graph | ||
| 653 | _aEuler characteristic | ||
| 653 | _an/a | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://mdpi.com/books/pdfview/book/3702 _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/76295 _70 _zDOAB: description of the publication |
| 999 |
_c3004837 _d3004837 |
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