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TitleComputational social science : discovery and prediction
Author R. Michael Alvarez, California Institute of Technology
ImprintNew York, NY : Cambridge University Press, 2016
Descript x, 327 pages ; 24 cm


Part 1. Computational social science tools : The application of big data in surveys to the study of elections, public opinion, and representation ; Navigating the local modes of big data: The case of topic models ; Generating political event data in near real time : opportunities and challenges ; Network structure and social outcomes : network analysis for social science ; Ideological salience in multiple dimensions ; Random forests and fuzzy forests in biodemical research / Daniel Conn and Christina M. Ramirez -- Part 2. Computational social science applications : Big data, social media, and protest : foundations for a research agenda ; Measuring representational style in the House : the Tea Party, Obama, and legislators' changing expressed priorities ; Using social marketing and data science to make government smarter ; Using machine learning algorithms to detect election fraud ; Centralized analysis of local data, with dollars and lives on the line: Lession from the home radon experience

Social sciences -- Data processing Social sciences -- Mathematical models Social sciences -- Methodology Scienze sociali -- Ricerca -- Impiego degli elaboratori

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