Modelling communities and populations: An introduction to computational social science

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Date

2019

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Wydawnictwo Naukowe UAM

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Abstract

In 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.

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Keywords

computational social science, mathematical modelling, sociophysics, quantitative sociology, computer simulations, agent-based models, social network analysis, natural language processing, linguistics

Citation

Studia Metodologiczne, nr 39, 2019, s 123–152.

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0039424X

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Creative Commons License

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