The peer-reviewed contributions gathered in this book address methods, software and applications of statistics and data science in the social sciences. The data revolution in social science research has not only produced new business models, but has also provided policymakers with better decision-making support tools. In this volume, statisticians, computer scientists and experts on social research discuss the opportunities and challenges of the social data revolution in order to pave the way for addressing new research problems. The respective contributions focus on complex social systems and current methodological advances in extracting social knowledge from large data sets, as well as modern social research on human behavior and society using large data sets. Moreover, they analyze integrated systems designed to take advantage of new social data sources, and discuss quality-related issues. The papers were originally presented at the 2nd International Conference on Data Science and Social Research, held in Milan, Italy, on February 4-5, 2019.
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Digital Methods and the Evolution of the Epistemology of Social Sciences |
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1 | (8) |
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Restricted Cumulative Correspondence Analysis |
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9 | (12) |
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Determining the Importance of Hotel Services by Using Transitivity Thresholds |
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21 | (8) |
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Staging Cancer Through Text Mining of Pathology Records |
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29 | (18) |
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Predicting the Risk of Gambling Activities in Adolescence: A Case Study |
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47 | (12) |
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Municipal Managers in Italy: Skills, Training Requirements and Related Critical Aspects |
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59 | (20) |
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Attitudes Towards Immigrant Inclusion: A Look at the Spatial Disparities Across European Countries |
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79 | (12) |
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A Bibliometric Study of the Global Research Activity in Sustainability and Its Dimensions |
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91 | (12) |
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Big Data Marketing: A Strategic Alliance |
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103 | (12) |
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Data Processing in a Healthcare National System |
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115 | (16) |
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Manlio d'Agostino Panebianco |
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Smart Tourism System in Calabria |
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131 | (14) |
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Spatial Localization of Visitors Mobile Phones in a Sardinian Destinations' Network |
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145 | (12) |
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The Role of Open Data in Healthcare Research |
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157 | (18) |
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Social Epidemiology: The Challenges and Opportunities of Worldwide Data Consortia |
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175 | (12) |
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Identification of Opinion Makers on Twitter |
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187 | (12) |
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Modelling Human Intelligence Using Mixed Model Approach |
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199 | (20) |
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Mamandur Rangaswamy Srinivasan |
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An Analysis of the Impact of Requirements on Wages Within Sectors of the Tourism Industry |
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219 | (16) |
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Big Data and Economic Analysis: The Challenge of a Harmonized Database |
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235 | (12) |
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ROC Curve in GAMLSS as Prediction Tool for Big Data |
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247 | (12) |
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Social Media in Disasters. Big Data Issues in Public Communication Field |
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259 | (10) |
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Divorce in Italy: A Textual Analysis of Cassation Judgment |
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269 | (12) |
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A Bayesian Mixture Model for Ecotoxicological Risk Assessment |
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281 | (12) |
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Virtual Encounter Simulations: A New Methodology for Generating Conflict Data |
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293 | (12) |
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Is Public Service Motivation-Performance Relationship Mediated by Other Factors? |
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305 | (8) |
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A Classification Algorithm to Recognize Fake News Websites |
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313 | (18) |
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A Comparative Analysis of the University Student Mobility Flows Among European Countries |
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331 | (12) |
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A Preference Index Design for Big Data |
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343 | (10) |
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Construction of an Immigrant Integration Composite Indicator through the Partial Least Squares Structural Equation Model K-Means |
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353 | (14) |
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Facebook Debate on Sea Watch 3 Case: Detecting Offensive Language Through Automatic Topic Mining Techniques |
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367 | (12) |
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Martini's Index and Total Factor Productivity Calculation |
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379 | (14) |
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Author Index |
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Paolo Mariani is a Full Professor of Economic Statistics at the Department of Economics, Management and Statistics, University of Milano-Bicocca, Italy, where he teaches Economic Statistics and Business Statistics. The author of several publications and a frequent speaker at conferences and seminars, he is currently conducting research at the Bicocca-Applied Statistics Center (B-ASC).
Mariangela Zenga is an Assistant Professor of Social Statistics at the Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Italy, where she teaches Sampling for Audit, and Statistical Methods for Tourism. She also collaborates with the Centre for Statistical Science and Operational Research at Queens University Belfast, UK, and with the Bicocca-Applied Statistics Center (B-ASC).