Opportunities and challenges for computational social science methods:
"This book focuses on the implementation of computational social science methods and touches upon the opportunities and challenges of this method in social sciences with the goals of suggesting how the infrastructure could be built to gain required skill sets, the tools used in computational so...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2022
|
| Schlagworte: | |
| Online-Zugang: | DE-1050 DE-898 DE-1049 DE-91 DE-706 DE-83 Volltext |
| Zusammenfassung: | "This book focuses on the implementation of computational social science methods and touches upon the opportunities and challenges of this method in social sciences with the goals of suggesting how the infrastructure could be built to gain required skill sets, the tools used in computational social sciences and the methods which have been developed and applied into computational social sciences |
| Beschreibung: | Includes bibliographical references and index Chapter 1. What is computational communication research? -- Chapter 2. Incorporating computational social science in political science -- Chapter 3. Opinion mining in sociopolitical research -- Chapter 4. Breaking social network analysis in organizational and interpersonal communication -- Chapter 5. Applying machine learning to online data?: beware! computational social science requires care -- Chapter 6. Generating big data in (micro)economics -- Chapter 7. The virtual persona triad: from self-presentation to social media mining -- Chapter 8. The flow of influence from two-step to network perspectives |
| Beschreibung: | 1 Online-Ressource (277 Seiten) |
| ISBN: | 9781799885559 |
| DOI: | 10.4018/978-1-7998-8553-5 |
Internformat
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:31:21Z |
| indexdate | 2024-07-20T06:38:38Z |
| institution | BVB |
| isbn | 9781799885559 |
| language | English |
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| spelling | Opportunities and challenges for computational social science methods Enes Abanoz, editor Hershey, Pennsylvania IGI Global 2022 1 Online-Ressource (277 Seiten) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Chapter 1. What is computational communication research? -- Chapter 2. Incorporating computational social science in political science -- Chapter 3. Opinion mining in sociopolitical research -- Chapter 4. Breaking social network analysis in organizational and interpersonal communication -- Chapter 5. Applying machine learning to online data?: beware! computational social science requires care -- Chapter 6. Generating big data in (micro)economics -- Chapter 7. The virtual persona triad: from self-presentation to social media mining -- Chapter 8. The flow of influence from two-step to network perspectives "This book focuses on the implementation of computational social science methods and touches upon the opportunities and challenges of this method in social sciences with the goals of suggesting how the infrastructure could be built to gain required skill sets, the tools used in computational social sciences and the methods which have been developed and applied into computational social sciences Social sciences Methodology Social sciences Mathematics Data processing Social sciences Research Mathematical models Abanoz, Enes edt Erscheint auch als Druck-Ausgabe 1799885550 Erscheint auch als Druck-Ausgabe 9781799885535 Erscheint auch als Druck-Ausgabe 1799885534 https://doi.org/10.4018/978-1-7998-8553-5 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Opportunities and challenges for computational social science methods Social sciences Methodology Social sciences Mathematics Data processing Social sciences Research Mathematical models |
| title | Opportunities and challenges for computational social science methods |
| title_auth | Opportunities and challenges for computational social science methods |
| title_exact_search | Opportunities and challenges for computational social science methods |
| title_exact_search_txtP | Opportunities and challenges for computational social science methods |
| title_full | Opportunities and challenges for computational social science methods Enes Abanoz, editor |
| title_fullStr | Opportunities and challenges for computational social science methods Enes Abanoz, editor |
| title_full_unstemmed | Opportunities and challenges for computational social science methods Enes Abanoz, editor |
| title_short | Opportunities and challenges for computational social science methods |
| title_sort | opportunities and challenges for computational social science methods |
| topic | Social sciences Methodology Social sciences Mathematics Data processing Social sciences Research Mathematical models |
| topic_facet | Social sciences Methodology Social sciences Mathematics Data processing Social sciences Research Mathematical models |
| url | https://doi.org/10.4018/978-1-7998-8553-5 |
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