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Bootstrapping Multilingual Metadata Extraction: A Showcase in Cyrillic
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An Impact Assessment of ESF Training Courses for Unemployed in the Province of Bolzano
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Artificial intelligence, ethics, and intergenerational responsibility
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An impact assessment of ESF training courses for unemployed in the Province of Bolzano
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"Für den Spracherwerb ist es wichtig, auf Lerngelegenheiten in der Umgebung zu stoßen"
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Deutschkenntnisse entwickeln sich bei Geflüchteten und anderen Neuzugewanderten ähnlich: Sprachkurse spielen wichtige Rolle
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The Impacts of a Prototypical Home Visiting Program on Child Skills
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Leveraging literals for knowledge graph embeddings
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In: ISSN: 1613-0073 (2021)
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Text Mining and Dimension Reduction Methods of Exploring Isomorphism in Corporate Communication
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In: Archives of Data Science, Series A (Online First), 7 (1), P09, 21 S. online ; ISSN: 2363-9881 (2021)
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Reputation Through Observation: Active Lurkers in an Online Community
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In: Archives of Data Science, Series A (Online First), 5 (1), A32, 17 S. online ; ISSN: 2363-9881 (2021)
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Charaterizing RDF graphs through graph-based measures - Framework and assessment
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In: Semantic Web, 12 (5), 789-812 ; ISSN: 1570-0844, 2210-4968 (2021)
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16 |
Dynamiken der Wirtschaft des Mittleren Reichs. Warengewinnung von Getreide, Kupfer und Türkis
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18 |
Coronagraben in Switzerland: Culture and social distancing in times of COVID-19
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19 |
Managing Refugee Protection Crises: Policy Lessons from Economics and Political Science
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Complexity in economic and social systems
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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.
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Keyword:
complex networks; Complexity; data science; ddc:330; econophysics; epidemic spreading; financial markets; macroeconomics; multifractal analysis; non-extensive entropy; quantitative linguistics; social systems; sociophysics; time series analysis
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URL: http://hdl.handle.net/10419/237801 https://doi.org/10.3390/books978-3-0365-0795-8
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