Modelling communities and populations: An introduction to computational social science

dc.contributor.authorJarynowski, Andrzej
dc.contributor.authorParadowski, Michał B.
dc.contributor.authorBuda, Andrzej
dc.date.accessioned2020-03-04T09:37:07Z
dc.date.available2020-03-04T09:37:07Z
dc.date.issued2019
dc.description.abstractIn 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.pl
dc.identifier.citationStudia Metodologiczne, nr 39, 2019, s 123–152.
dc.identifier.issn0039424X
dc.identifier.urihttp://hdl.handle.net/10593/25476
dc.language.isoengpl
dc.publisherWydawnictwo Naukowe UAM
dc.rightsinfo:eu-repo/semantics/openAccesspl
dc.subjectcomputational social sciencepl
dc.subjectmathematical modellingpl
dc.subjectsociophysicspl
dc.subjectquantitative sociologypl
dc.subjectcomputer simulationspl
dc.subjectagent-based modelspl
dc.subjectsocial network analysispl
dc.subjectnatural language processingpl
dc.subjectlinguisticspl
dc.titleModelling communities and populations: An introduction to computational social sciencepl
dc.typeArtykułpl

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Uniwersytet im. Adama Mickiewicza w Poznaniu
Biblioteka Uniwersytetu im. Adama Mickiewicza w Poznaniu
Ministerstwo Nauki i Szkolnictwa Wyższego