Data Science and Social Research: Epistemology, Methods, Technology and Applications

Description

This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources. This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices. Front Matter ....Pages i-ix Introduction (Enrica Amaturo, Biagio Aragona)....Pages 1-6 Front Matter ....Pages 7-7 On Data, Big Data and Social Research. Is It a Real Revolution? (Federico Neresini)....Pages 9-16 New Data Science: The Sociological Point of View (Biagio Aragona)....Pages 17-24 Data Revolutions in Sociology (Barbara Saracino)....Pages 25-33 Blurry Boundaries: Internet, Big-New Data, and Mixed-Method Approach (Enrica Amaturo, Gabriella Punziano)....Pages 35-55 Social Media and the Challenge of Big Data/Deep Data Approach (Giovanni Boccia Artieri)....Pages 57-65 Governing by Data: Some Considerations on the Role of Learning Analytics in Education (Rosanna De Rosa)....Pages 67-77 Front Matter ....Pages 79-79 Multiple Correspondence K-Means: Simultaneous Versus Sequential Approach for Dimension Reduction and Clustering (Mario Fordellone, Maurizio Vichi)....Pages 81-95 TaLTaC 3.0. A Multi-level Web Platform for Textual Big Data in the Social Sciences (Sergio Bolasco, Giovanni De Gasperis)....Pages 97-103 Sparsity Data Reduction in Textual Network Analysis (Emma Zavarrone, Filomena Grassia, Maria Gabriella Grassia, Marina Marino)....Pages 105-119 University of Bari’s Website Evaluation (Laura Antonucci, Marina Basile, Corrado Crocetta, Viviana D’Addosio, Francesco D. d’Ovidio, Domenico Viola)....Pages 121-129 Advantages of Administrative Data: Three Analyses of Students’ Careers in Higher Education (Andrea Amico, Giampiero D’Alessandro, Alessandra Decataldo)....Pages 131-139 Growth Curve Models to Detect Walking Impairment: The Case of InCHIANTI Study (Catia Monicolini, Carla Rampichini)....Pages 141-149 Recurrence Analysis: Method and Applications (Maria Carmela Catone, Marisa Faggini)....Pages 151-161 Front Matter ....Pages 163-163 Big Data and Network Analysis: A Promising Integration for Decision-Making (Giovanni Giuffrida, Simona Gozzo, Francesco Mazzeo Rinaldi, Venera Tomaselli)....Pages 165-174 White House Under Attack (Fabrizio Esposito, Estella Esposito, Pierpaolo Basile)....Pages 175-183 #Theterrormood: Studying the World Mood After the Terror Attacks on Paris and Bruxelles (Rosanna Cataldo, Roberto Galasso, Maria Gabriella Grassia, Marino Marina)....Pages 185-192 Learning Analytics in MOOCs: EMMA Case (Maka Eradze, Kairit Tammets)....Pages 193-204 Tweet-Tales: Moods of Socio-Economic Crisis? (Grazia Biorci, Antonella Emina, Michelangelo Puliga, Lisa Sella, Gianna Vivaldo)....Pages 205-213 The Sentiment of the Infosphere: A Sentiment Analysis Approach for the Big Conversation on the Net (Antonio Ruoto, Vito Santarcangelo, Davide Liga, Giuseppe Oddo, Massimiliano Giacalone, Eugenio Iorio)....Pages 215-222 The Promises of Sociological Degrees: A Lexical Correspondence Analysis of Masters Syllabi (D. Borrelli, R. Serpieri, D. Taglietti, D. Trezza)....Pages 223-236 Front Matter ....Pages 237-237 Exploring Barriers in the Sustainable Microgeneration: Preliminary Insights Thought the PLS-PM Approach (Ivano Scotti, Dario Minervini)....Pages 239-247 Individual Disadvantage and Training Policies: The Construction of “Model-Based” Composite Indicators (Rosanna Cataldo, Maria Gabriella Grassia, Natale Carlo Lauro, Elena Ragazzi, Lisa Sella)....Pages 249-260 Measuring the Intangibles: Testing the Human Capital Theory Against the OECD Programme for the International Assessment of Adult Competencies (Federica Cornali)....Pages 261-268 Analysis of the Employment Transitions and Analysis of the Unemployment Risk in the Social Security Account Statements of the Patronato ACLI (D. Catania, A. Serini, G. Zucca)....Pages 269-281 Integrated Education Microdata to Support Statistics Production (Maria Carla Runci, Grazia Di Bella, Francesca Cuppone)....Pages 283-290 Latent Growth and Statistical Literacy (Emma Zavarrone)....Pages 291-300