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Modelling communities and populations: An introduction to computational social science

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dc.abstract.enIn sociology, interest in modelling has not yet become widespread. However, the methodology has been gaining increased attention in parallel with its growing popularity in economics and other social sciences, notably psychology and political science, and the growing volume of social data being measured and collected. In this paper, we present representative computational methodologies from both data-driven (such as “black box”) and rule-based (such as “per analogy”) approaches. We show how to build simple models, and discuss both the greatest successes and the major limitations of modelling societies. We claim that the end goal of computational tools in sociology is providing meaningful analyses and calculations in order to allow making causal statements in sociological explanation and support decisions of great importance for society.
dc.affiliationUniwersytet Warszawski
dc.contributor.authorJarynowski, Andrzej
dc.contributor.authorBuda, Andrzej
dc.contributor.authorParadowski, Michał
dc.date.accessioned2024-01-25T12:49:53Z
dc.date.available2024-01-25T12:49:53Z
dc.date.issued2019
dc.description.financeNie dotyczy
dc.description.volume39
dc.identifier.issn0039-324X
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/112764
dc.identifier.weblinkhttps://repozytorium.amu.edu.pl/handle/10593/25476
dc.languageeng
dc.pbn.affiliationlinguistics
dc.relation.ispartofStudia Metodologiczne
dc.relation.pages123-152
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.titleModelling communities and populations: An introduction to computational social science
dc.typeJournalArticle
dspace.entity.typePublication