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Data Science and Social Research II

  • Kartonierter Einband
  • 404 Seiten
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The peer-reviewed contributions gathered in this book address methods, software and applications of statistics and data science in... Weiterlesen
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Beschreibung

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.



Applies methods and techniques from statistics and data science to the social sciences

Addresses the data revolution in social science research

Brings together experts from statistics, computer science and social research



Autorentext

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 Queen's University Belfast, UK, and with the Bicocca-Applied Statistics Center (B-ASC).



Inhalt
Chapter 1 - Digital methods and the evolution of the epistemology of social sciences (Enrica Amaturo, Biagio Aragona)Chapter 2 - Restricted Cumulative Correspondence Analysis (Pietro Amenta, Antonello D'Ambra, Luigi D'Ambra)Chapter 3 - Determining the importance of hotel services by using transitivity thresholds (Pietro Amenta, Antonio Lucadamo, Gabriella Marcarelli)Chapter 4 - Staging cancer through text mining of pathology records (Pietro Belloni, Giovanna Boccuzzo, Stefano Guzzinati, Irene Italiano, Carlo R. Rossi, Massimo Rugge, Manuel Zorzi)Chapter 5 - Predicting the risk of gambling activities in adolescence: a case study (Laura Benedan, Gianna Serana Monti)Chapter 6 - Municipal managers in Italy: Skills, training requirements and related criti-cal aspects (Mario Bolzan, Giovanna Boccuzzo, Marco Marozzi)Chapter 7 -Attitudes towards immigrant inclusion: a look at the spatial disparities across European countries (Riccardo Borgoni, Antonella Carcagni, Alessandra Michelangeli, Federica Zaccagnini)Chapter 8 - A bibliometric study of the global research activity in sustainability and its dimensions ( Rosanna Cataldo, Maria Gabriella Grassia, Carlo Natale Lauro, Marina Marino, Viktoriya Voytsekhovska)Chapter 9 -Big Data Marketing: A Strategic Alliance (Federica Codignola) Chapter 10 -Data processing in a Healthcare National System (with the analysis of the Italian HNS) (Manlio d'Agostino Panebianco, Anna Capoluongo) Chapter 11 - Smart Tourism System in Calabria (Annarita De Maio, Daniele Ferone, Elisabetta Fersini, Enza Messina, Francesco Santoro, Antonio Violi)Chapter 12 - Spatial Localization of Visitors Mobile Phones in a Sardinian Destinations' Network (Anna Maria Fiori, Ilaria Foroni)Chapter 13 - The role of Open Data in healthcare research (Carlotta Galeone, Rossella Bonzi, Paolo Mariani)Chapter 14 -Social epidemiology: the challenges and opportunities of worldwide data consortia ( Carlotta Galeone, Rossella Bonzi, Federica Turati, Claudio Pelucchi, Matteo Rota, Carlo La Vecchia)Chapter 15 -Identication of Opinion Makers on Twitter ( Svitlana Galeshchuk, Ju Qiu) Chapter 16 - Modelling Human Intelligence using Mixed Model Approach ( Thanigaivasan Gokul, Mamandur Rangasamy Srinivasan, Michele Gallo) Chapter 17 - An analysis of the impact of requirements on wages within sectors of the tourism industry ( Paolo Mariani, Andrea Marletta, Lucio Masserini, Mariangela Zenga)Chapter 18 - Big Data and Economic Analysis: the Challenge of a Harmonised Database (Caterina Marini, Vittorio Nicolardi)Chapter 19 -ROC Curve in GAMLSS as prediction tool for Big Data (Andrea Marletta).- Chapter 20 - Social media in disasters. Big data issues in public communication eld (Francesco Marrazzo, Gabriella Punziano)Chapter 21 - Divorce in Italy: a textual analysis of cassation judgment ( Rocco Mazza, Rosanna Cataldo, Maria Gabriella Grassia, Marina Marino, Vincenzo Pastena, Emma Zavarrone)Chapter 22 - A Bayesian mixture model for ecotoxicological risk assessment ( Sonia Migliorati, Gianna Serana Monti)Chapter 23 - Virtual Encounter Simulations: A New Methodology For Generating Conict Data (Georg P. Mueller)Chapter 24 - Is Public Service Motivation-Performance relationship mediated by other factors? ( Raaela Palma, Anna Crisci, Luigi D'Ambra)Chapter 25 - A Classification Algorithm to Recognize Fake News Websites ( Giuseppe Pernagallo, Benedetto Torrisi, Davide Bennato)Chapter 26 - A comparative analysis of the university student mobility ows among European countries (Marialuisa Restaino, Ilaria Primerano, Maria Prosperina Vitale)Chapter 27 - A Preference Index Design for Big Data ( Venera Tomaselli, Giulio Giacomo Cantone)Chapter 28 - Construction of an immigrant integration composite indicator through the Partial Least Squares Structural Equation Model K-Means (Venera Tomaselli, Mario Fordellone, Maurizio Vichi)Chapter 29 - Facebook debate on Sea Watch 3 case: detecting oensive language through Automatic Topic Mining Techniques ( Alice Tontodimamma, Emiliano del Gobbo, Vanessa Russo, Annalina Sarra, Lara Fontanella)Chapter 30 - Martini's index and Total Factor Productivity calculation( Biancamaria Zavanella, Daniele Pirotta).

Produktinformationen

Titel: Data Science and Social Research II
Untertitel: Methods, Technologies and Applications
Editor:
EAN: 9783030512217
ISBN: 3030512215
Format: Kartonierter Einband
Herausgeber: Springer International Publishing
Genre: Sozialwissenschaften, Recht & Wirtschaft
Anzahl Seiten: 404
Gewicht: 610g
Größe: H235mm x B155mm x T21mm
Jahr: 2020
Auflage: 1st ed. 2021