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- W2312223927 startingPage "205979911562276" @default.
- W2312223927 abstract "Today’s world allows people to connect over larger distances and in shorter intervals than ever before, widely monitored by massive online data sources. Ongoing worldwide computerization has led to completely new opportunities for social scientists to conceive human interactions and relations in unknown precision and quantities. However, the large data sets require techniques that are more likely to be found in computer and natural sciences than in the established fields of social relations. In order to facilitate the participation of social scientists in an emerging interdisciplinary research branch of “computational social science,” we propose in this article the usage of the Python programming language. First, we carve out its capacity to handle “Big Data” in suitable formats. Second, we introduce programming libraries to analyze large networks and big text corpora, conduct simulations, and compare their performance to their counterparts in the R environment. Furthermore, we highlight practical tools implemented in Python for operational tasks like preparing presentations. Finally, we discuss how the process of writing code may help to exemplify theoretical concepts and could lead to empirical applications that gain a better understanding of the social processes initiated by the truly global connections of the Internet era." @default.
- W2312223927 created "2016-06-24" @default.
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- W2312223927 date "2016-01-01" @default.
- W2312223927 modified "2023-09-27" @default.
- W2312223927 title "Installing computational social science: Facing the challenges of new information and communication technologies in social science" @default.
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- W2312223927 doi "https://doi.org/10.1177/2059799115622763" @default.
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