Computational social science: discovery and prediction
Saved in:
| Other Authors: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York, NY
Cambridge University Press
2016
|
| Series: | Analytical methods for social research
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Literaturangaben |
| Physical Description: | x, 327 Seiten Diagramme 23 cm |
| ISBN: | 9781107107885 9781107518414 |
Staff View
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Record in the Search Index
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| adam_text | Contents
Preface page vii
Gary King
Introduction 1
R. Michael Alvarez
PART 1: COMPUTATIONAL SOCIAL SCIENCE TOOLS
1 The Application of Big Data in Surveys to the Study of
Elections, Public Opinion, and Representation 27
Christopher Warshaw
2 Navigating the Local Modes of Big Data: The Case of
Topic Models 51
Margaret E. Roberts, Brandon M. Stewart, and
Dustin Tingley
3 Generating Political Event Data in Near Real Time:
Opportunities and Challenges 98
John Beieler, Patrick T. Brandt, Andrew Halterman,
Philip A. Schrodt, and Erin M. Simpson
4 Network Structure and Social Outcomes: Network
Analysis for Social Science 121
Betsy Sinclair
5 Ideological Salience in Multiple Dimensions 140
Peter Foley
6 Random Forests and Fuzzy Forests in Biomedical
Research 168
Daniel Conn and Christina M. Ramirez
v
VI
Contents
PART 2: COMPUTATIONAL SOCIAL SCIENCE APPLICATIONS
7 Big Data, Social Media, and Protest: Foundations for
a Research Agenda
Joshua A. Tucker, Jonathan Nagler, Megan MacDuffee
Metzger, Pablo Barbera, Duncan Penfold-Brown, and
Richard Bonneau
8 Measuring Representational Style in the House: The
Tea Party, Obama, and Legislators’ Changing
Expressed Priorities
Justin Grimmer
9 Using Social Marketing and Data Science to
Make Government Smarter
Brian Griepentrog, Sean Marsh, Sidney Carl Turner, and
Sarah Evans
10 Using Machine Learning Algorithms to Detect
Election Fraud
Ines Levin, Julia Pomares, and R. Michael Alvarez
11 Centralized Analysis of Local Data, with Dollars and
Lives on the Line: Lessons from the Home Radon
Experience
Phillip N. Price and Andrew Gelman
Conclusion: Computational Social Science: Toward a
Collaborative Future
Hanna Wallach
199
225
246
266
295
307
Index
317
|
| any_adam_object | 1 |
| author2 | Alvarez, R. Michael 1964- |
| author2_role | edt |
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| building | Verbundindex |
| bvnumber | BV043326316 |
| classification_rvk | MR 2200 ST 650 |
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| dewey-full | 300.285 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 300 - Social sciences |
| dewey-raw | 300.285 |
| dewey-search | 300.285 |
| dewey-sort | 3300.285 |
| dewey-tens | 300 - Social sciences |
| discipline | Informatik Soziologie |
| format | Book |
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| spelling | Computational social science discovery and prediction R. Michael Alvarez, California Institute of Technology New York, NY Cambridge University Press 2016 x, 327 Seiten Diagramme 23 cm txt rdacontent n rdamedia nc rdacarrier Analytical methods for social research Literaturangaben Empirische Sozialforschung (DE-588)4014606-6 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Analytische Methode (DE-588)4142352-5 gnd rswk-swf Quantitative Methode (DE-588)4232139-6 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Computerunterstütztes Verfahren (DE-588)4139030-1 gnd rswk-swf Computersimulation (DE-588)4148259-1 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Sozialwissenschaften (DE-588)4055916-6 s Computersimulation (DE-588)4148259-1 s Analytische Methode (DE-588)4142352-5 s DE-604 Empirische Sozialforschung (DE-588)4014606-6 s Big Data (DE-588)4802620-7 s Quantitative Methode (DE-588)4232139-6 s Computerunterstütztes Verfahren (DE-588)4139030-1 s Alvarez, R. Michael 1964- (DE-588)129560324 edt Erscheint auch als Online-Ausgabe 978-1-316-25734-0 (DE-604)BV043450777 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028746594&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Computational social science discovery and prediction Empirische Sozialforschung (DE-588)4014606-6 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Analytische Methode (DE-588)4142352-5 gnd Quantitative Methode (DE-588)4232139-6 gnd Big Data (DE-588)4802620-7 gnd Computerunterstütztes Verfahren (DE-588)4139030-1 gnd Computersimulation (DE-588)4148259-1 gnd |
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| title | Computational social science discovery and prediction |
| title_auth | Computational social science discovery and prediction |
| title_exact_search | Computational social science discovery and prediction |
| title_full | Computational social science discovery and prediction R. Michael Alvarez, California Institute of Technology |
| title_fullStr | Computational social science discovery and prediction R. Michael Alvarez, California Institute of Technology |
| title_full_unstemmed | Computational social science discovery and prediction R. Michael Alvarez, California Institute of Technology |
| title_short | Computational social science |
| title_sort | computational social science discovery and prediction |
| title_sub | discovery and prediction |
| topic | Empirische Sozialforschung (DE-588)4014606-6 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Analytische Methode (DE-588)4142352-5 gnd Quantitative Methode (DE-588)4232139-6 gnd Big Data (DE-588)4802620-7 gnd Computerunterstütztes Verfahren (DE-588)4139030-1 gnd Computersimulation (DE-588)4148259-1 gnd |
| topic_facet | Empirische Sozialforschung Sozialwissenschaften Analytische Methode Quantitative Methode Big Data Computerunterstütztes Verfahren Computersimulation Aufsatzsammlung |
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