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Data Science and Social Research

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Cover of 'Data Science and Social Research'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 On Data, Big Data and Social Research. Is It a Real Revolution?
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    Chapter 3 New Data Science: The Sociological Point of View
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    Chapter 4 Data Revolutions in Sociology
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    Chapter 5 Blurry Boundaries: Internet, Big-New Data, and Mixed-Method Approach
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    Chapter 6 Social Media and the Challenge of Big Data/Deep Data Approach
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    Chapter 7 Governing by Data: Some Considerations on the Role of Learning Analytics in Education
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    Chapter 8 Multiple Correspondence K-Means: Simultaneous Versus Sequential Approach for Dimension Reduction and Clustering
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    Chapter 9 TaLTaC 3.0. A Multi-level Web Platform for Textual Big Data in the Social Sciences
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    Chapter 10 Sparsity Data Reduction in Textual Network Analysis
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    Chapter 11 University of Bari’s Website Evaluation
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    Chapter 12 Advantages of Administrative Data: Three Analyses of Students’ Careers in Higher Education
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    Chapter 13 Growth Curve Models to Detect Walking Impairment: The Case of InCHIANTI Study
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    Chapter 14 Recurrence Analysis: Method and Applications
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    Chapter 15 Big Data and Network Analysis: A Promising Integration for Decision-Making
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    Chapter 16 White House Under Attack
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    Chapter 17 #Theterrormood: Studying the World Mood After the Terror Attacks on Paris and Bruxelles
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    Chapter 18 Learning Analytics in MOOCs: EMMA Case
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    Chapter 19 Tweet-Tales: Moods of Socio-Economic Crisis?
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    Chapter 20 The Sentiment of the Infosphere: A Sentiment Analysis Approach for the Big Conversation on the Net
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    Chapter 21 The Promises of Sociological Degrees: A Lexical Correspondence Analysis of Masters Syllabi
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    Chapter 22 Exploring Barriers in the Sustainable Microgeneration: Preliminary Insights Thought the PLS-PM Approach
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    Chapter 23 Individual Disadvantage and Training Policies: The Construction of “Model-Based” Composite Indicators
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    Chapter 24 Measuring the Intangibles: Testing the Human Capital Theory Against the OECD Programme for the International Assessment of Adult Competencies
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    Chapter 25 Analysis of the Employment Transitions and Analysis of the Unemployment Risk in the Social Security Account Statements of the Patronato ACLI
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    Chapter 26 Integrated Education Microdata to Support Statistics Production
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    Chapter 27 Latent Growth and Statistical Literacy
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Mentioned by

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4 X users
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2 Wikipedia pages

Citations

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Title
Data Science and Social Research
Published by
Springer, Cham, November 2017
DOI 10.1007/978-3-319-55477-8
ISBNs
978-3-31-955476-1, 978-3-31-955477-8
Editors

N. Carlo Lauro, Enrica Amaturo, Maria Gabriella Grassia, Biagio Aragona, Marina Marino

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 36%
Student > Bachelor 4 11%
Researcher 4 11%
Student > Ph. D. Student 4 11%
Student > Postgraduate 2 6%
Other 5 14%
Unknown 4 11%
Readers by discipline Count As %
Social Sciences 13 36%
Computer Science 6 17%
Economics, Econometrics and Finance 4 11%
Arts and Humanities 3 8%
Business, Management and Accounting 3 8%
Other 2 6%
Unknown 5 14%