Data Science and Social Research (eBook)

Epistemology, Methods, Technology and Applications
eBook Download: PDF
2017 | 1. Auflage
IX, 300 Seiten
Springer-Verlag
978-3-319-55477-8 (ISBN)

Lese- und Medienproben

Data Science and Social Research -
Systemvoraussetzungen
149,79 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

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.



Carlo Natale Lauro is Professor Emeritus of Statistics at the University of Naples Federico II, where he was Chair of the Ph.D. course on computational statistics (1988-2014). He was President of the International Association for Statistical Computing and International Federation of Classification Societies. His main scientific interests include data science, multivariate analysis, computational statistics and data mining.

Enrica Amaturo is Full Professor of Sociology and Head of the Department of Social Sciences of the University of Naples Federico II. She is President of the Italian Sociological Association and was a member of the Italian Commission on Social Exclusion (1999-2001; 2007-2011). Her main interests are methods for the analysis of new media, mixed-methods research and the analysis of social exclusion.

Biagio Aragona is Assistant Professor of Sociology at the Department of Social Sciences of the University of Naples Federi

co II, where he teaches social research methods and advanced methods for quantitative research. His research activities primarily involve the use of statistical sources for the analysis of social inequalities and the analysis of the challenges and opportunities that new data offer for the social sciences.

Maria Gabriella Grassia is Associate Professor of Social Statistics at the Department of Social Sciences of the University of Naples Federico II, where she also serves on the research committee for the Ph.D. program on social science and statistics. From 2008 to 2012, she was a Council Officer of the Italian Statistical Society. Her research areas include multivariate analysis, text mining and composite indicators.

Marina Marino is Associate Professor of Statistics at the Department of Social Sciences of the University of Naples Federico II, where she is also a member of the research committee for the Ph.D. program on social Sci

ence and statistics. Her chief research areas are computational statistics, data mining, classification and clustering, statistical analysis of interval-valued data and composite indicators.

Carlo Natale Lauro is Professor Emeritus of Statistics at the University of Naples Federico II, where he was Chair of the Ph.D. course on computational statistics (1988-2014). He was President of the International Association for Statistical Computing and International Federation of Classification Societies. His main scientific interests include data science, multivariate analysis, computational statistics and data mining.Enrica Amaturo is Full Professor of Sociology and Head of the Department of Social Sciences of the University of Naples Federico II. She is President of the Italian Sociological Association and was a member of the Italian Commission on Social Exclusion (1999-2001; 2007-2011). Her main interests are methods for the analysis of new media, mixed-methods research and the analysis of social exclusion.Biagio Aragona is Assistant Professor of Sociology at the Department of Social Sciences of the University of Naples Federico II, where he teaches social research methods and advanced methods for quantitative research. His research activities primarily involve the use of statistical sources for the analysis of social inequalities and the analysis of the challenges and opportunities that new data offer for the social sciences. Maria Gabriella Grassia is Associate Professor of Social Statistics at the Department of Social Sciences of the University of Naples Federico II, where she also serves on the research committee for the Ph.D. program on social science and statistics. From 2008 to 2012, she was a Council Officer of the Italian Statistical Society. Her research areas include multivariate analysis, text mining and composite indicators. Marina Marino is Associate Professor of Statistics at the Department of Social Sciences of the University of Naples Federico II, where she is also a member of the research committee for the Ph.D. program on social Science and statistics. Her chief research areas are computational statistics, data mining, classification and clustering, statistical analysis of interval-valued data and composite indicators.

Preface.- INDEX.- Introduction. Enrica Amaturo, Biagio Aragona.- Part I Epistemology: On Data, Big Data and Social Research. Is It a Real Revolution? Federico Neresini.-New Data Science - The Sociological Point of View; Biagio Aragona.- Data Revolutions in Sociology; Barbara Saracino.- Blurry Boundaries: Internet, Big New Data and Mixed-Method Approach; Enrica Amaturo, Gabriella Punziano.- Social Media and the Challenge of Big Data/Deep Data Approach; Giovanni Boccia Artieri.- Governing by Data - Some Considerations on the Role of Learning Analytics in Education; Rosanna De Rosa.- Part II Methods, Software and Data Architectures: A Knowledge-based Model for Clustering and Hierarchical Disjoint Non-negative Factor Analysis; Mario Fordellone, Maurizio Vichi.- TaLTaC 3.0. A Multi-levelWeb Platform for Textual Big Data in the Social Sciences; Sergio Bolasco and Giovanni De Gasperis.- Latent Growth and Statistical Literacy; Emma Zavarrone.- University of Bari’s Website Evaluation; Laura Antonucci, Marina Basile, Corrado Crocetta, Viviana D’Addosio, Francesco D. d’Ovidio, Domenico Viola.- Advantages of Administrative Data - Three Analyses of Students’ Careers in Higher Education; Andrea Amico, Giampiero D’Alessandro, Alessandra Decataldo.- Growth Curve Models to Detect Walking Impairment: the Case of InCHIANTI Study; Catia Monicolini, Carla Rampichini.-  1)       Recurrence Analysis - Method and Applications; Maria Carmela Catone, Paolo Diana, Marisa Faggini.- Part III On-line Data Applications: Big Data and Network Analysis - A Promising Integration for Decision-Making; Giovanni Giuffrida, Simona Gozzo, Francesco Mazzeo Rinaldi, Venera Tomaselli.- White House Under Attack - Introducing Distributional Semantic Model for the Analysis of US Crisis Communication Strategies; Fabrizio Esposito, Estella Esposito, Pierpaolo Basile.- #theterrormood - Studying the World Mood after the Terror Attacks on Paris and Bruxelles; Rosanna Cataldo, Roberto Galasso, Maria Gabriella Grassia, Marina Marino; Learning Analytics in MOOCs - EMMA Case; Maka Eradze, and Kairit Tammets.- Tweet-Tales: Moods of Socio-Economic Crisis? Grazia Biorci, Antonella Emina, Michelangelo Puliga, Lisa Sella, Gianna Vivaldo.- 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.- The Promises of Sociological Degrees - A Lexi-cal Correspondence Analysis of Masters Syllabi; Davide Borrelli, Roberto Serpieri, Danilo Taglietti, Domenico Trezza.- Part IV Off-line Data Applications: Exploring Barriers in the Sustainable Microgeneration Preliminary In-sights Thought the PLS-PM Approach; Ivano Scotti, Dario Minervini.- Individual Disadvantage and Training Policies - The Constructions of "Model-based" Composite Indicators; Rosanna Cataldo - Maria Gabriella Grassia - Carlo Lauro - Elena Ragazzi - Lisa Sella.- Measuring the Intangibles - Testing the Human Capital Theory Against the OECD Programme for the International Assessment of Adult Competencies; Federica Cornali.- Analysis of the Employment Transitions and Analysis of the Unemployment Risk in the Social Security Account Statements of the Patronato ACLI; Danilo Catania, Alessandro Serini, Gianfranco Zucca.- Integrated Education Microdata to Support Statistics Production; Maria Carla Runci, Grazia Di Bella and Francesca Cuppone.- Latent Growth and Statistical Literacy; Zavarrone, Grassia.

Erscheint lt. Verlag 17.11.2017
Reihe/Serie Studies in Classification, Data Analysis, and Knowledge Organization
Zusatzinfo IX, 300 p. 77 illus., 51 illus. in color.
Verlagsort Cham
Sprache englisch
Themenwelt Geisteswissenschaften Philosophie Erkenntnistheorie / Wissenschaftstheorie
Mathematik / Informatik Informatik
Sozialwissenschaften Politik / Verwaltung
Sozialwissenschaften Soziologie Empirische Sozialforschung
Schlagworte Big Data • data analysis in social sciences • Data Science • data science and social sciences • epistemology of social sciences • Media research • new data • off-line data analysis • on-line data analysis • social network analysis • software and data architectures • textual analytics
ISBN-10 3-319-55477-8 / 3319554778
ISBN-13 978-3-319-55477-8 / 9783319554778
Haben Sie eine Frage zum Produkt?
Wie bewerten Sie den Artikel?
Bitte geben Sie Ihre Bewertung ein:
Bitte geben Sie Daten ein:
PDFPDF (Wasserzeichen)
Größe: 7,6 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich