The diffusion of digital technologies and social networks has multiplied the forms of digital data that can be employed for social research. Digital data however require adequate methods. They do not necessary demand computational techniques, but specific skills. For example, machine learning, sentiment analysis, or social network analysis are rooted in content analysis, agent-based modeling, or network analysis.

Methods for big data in social sciences / Amaturo, Enrica; Aragona, Biagio. - In: MATHEMATICAL POPULATION STUDIES. - ISSN 0889-8480. - 26:2(2019), pp. 65-68. [10.1080/08898480.2019.1597577]

Methods for big data in social sciences

amaturo enrica;aragona biagio
2019

Abstract

The diffusion of digital technologies and social networks has multiplied the forms of digital data that can be employed for social research. Digital data however require adequate methods. They do not necessary demand computational techniques, but specific skills. For example, machine learning, sentiment analysis, or social network analysis are rooted in content analysis, agent-based modeling, or network analysis.
2019
Methods for big data in social sciences / Amaturo, Enrica; Aragona, Biagio. - In: MATHEMATICAL POPULATION STUDIES. - ISSN 0889-8480. - 26:2(2019), pp. 65-68. [10.1080/08898480.2019.1597577]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/757153
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