Computational social science : discovery and prediction / R. Michael Alvarez, California Institute of Technology
Imprint
New York, NY : Cambridge University Press, 2016
Descript
x, 327 pages ; 24 cm
CONTENT
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
SUBJECT
Social sciences -- Data processing
Social sciences -- Mathematical models
Social sciences -- Methodology
Scienze sociali -- Ricerca -- Impiego degli elaboratori