03413nam a22005775i 4500 978-981-99-9432-8 DE-He213 20251030111741.0 cr nn 008mamaa 240323s2024 si | s |||| 0|eng d 9789819994328 978-981-99-9432-8 10.1007/978-981-99-9432-8 doi HM479.2-554 JHB bicssc SOC026000 bisacsh JHB thema Sociological Foundations of Computational Social Science [electronic resource] / edited by Yoshimichi Sato, Hiroki Takikawa. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. IX, 124 p. 7 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Translational Systems Sciences, 2197-8840 ; 40 Chapter 1. Introduction -- Chapter 2. Sociological Foundations of Computational Social Science -- Chapter 3. Methodological contributions of computational social science to sociology -- Chapter 4. Computational Social Science: A Complex Contagion -- Chapter 5. Model of meaning -- Chapter 6. Sociological Meaning of Contagion -- Chapter 7. Polarization of Opinion -- Chapter 8. Coda. This book provides solid sociological foundations to computational social science (CSS). CSS is an emerging research field, and many books with those words in the title are on the market. However, CSS has not become mainstream in sociology, for which there are two reasons. First, CSS does not necessarily solve major research questions in sociology. Second, its sociological foundations are weak. These two reasons are interrelated—that is, CSS cannot solve major research questions because its sociological foundations are weak. Thus, even if it tries to solve those questions, its approaches seem to mainstream sociologists to miss the point. To resolve that shortcoming, this book fills the gap between CSS and sociology, shows that CSS can solve major research questions in sociology, and advances sociology by introducing to it theories and methodologies of CSS. Sociology. 57193 Statistics . 65982 Social sciences Philosophy. 60803 Big data. 57216 Sociological Theory. 66981 Statistics in Business, Management, Economics, Finance, Insurance. 69738 Social Theory. 58050 Big Data. 57216 Sato, Yoshimichi. editor. edt http://id.loc.gov/vocabulary/relators/edt 73863 Takikawa, Hiroki. editor. edt http://id.loc.gov/vocabulary/relators/edt 73864 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819994311 Printed edition: 9789819994335 Printed edition: 9789819994342 Translational Systems Sciences, 2197-8840 ; 40 73865 https://doi.org/10.1007/978-981-99-9432-8 ZDB-2-SLS ZDB-2-SXS 58618 58618