Titlebook: Big Data in Computational Social Science and Humanities; Shu-Heng Chen Book 2018 Springer International Publishing AG, part of Springer Na

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Applications of Internet Methods in Psychologyipedia) but also a platform where people share their opinions, ideas, and sentiments with friends (e.g., social network sites). Therefore, more and more psychologists are interested in how the Web can help us investigate human mind and behaviors. In this chapter, I review different approaches of psy

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Spatial Humanities: An Integrated Approach to Spatiotemporal Researchrating and contextualizing function for geo-cultural attributes. As information systems from multiple sources and in multiple formats they create visual indexes for diverse cultural data. Spatiotemporal interfaces provide new methods of integrating primary source materials into web-based interactive

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Cloud Computing in Social Sciences and Humanities stands to revolutionize Computational Social Science and Humanities. Increasingly we live in a quantitative world. The ability to read, store, and manipulate larger and larger amounts of data is becoming a prerequisite to be on the cutting edge of research. Econometric methods utilizing big data an

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Analysis of Social Media Data: An Introduction to the Characteristics and Chronological Processy forecasting and analyzing phenomena within social media generated big data. The approach demands interdisciplinary teamwork between the data sciences and other disciplines. The aforementioned is still an emerging discourse, thereby demanding the ongoing devotion of researchers in allied discipline

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Big Data and Research Opportunities Using HRAF Databasesy anthropologists, were designed to facilitate rapid retrieval of information. The texts describe social and cultural life in past and present societies around the world. As of the spring of 2018, eHRAF contains almost three million indexed “paragraph” units from over 8000 documents describing over

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https://doi.org/10.1007/978-3-319-95465-3big data for social scientists; agent-based computational economics; computational humanities; big data

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Springer International Publishing AG, part of Springer Nature 2018

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Shu-Heng ChenProvides a comprehensive overview of the use of big data in various disciplines of the social sciences and humanities.Includes self-contained and easy-accessible chapters for big data governance.Exemp

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Computational Social Scienceshttp://image.papertrans.cn/b/image/185698.jpg