Muutke küpsiste eelistusi

E-raamat: Data Science and Social Research II: Methods, Technologies and Applications

Edited by , Edited by
  • Formaat - EPUB+DRM
  • Hind: 184,63 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

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.

Digital Methods and the Evolution of the Epistemology of Social Sciences
1(8)
Enrica Amaturo
Biagio Aragona
Restricted Cumulative Correspondence Analysis
9(12)
Pietro Amenta
Antonello D'Ambra
Luigi D'Ambra
Determining the Importance of Hotel Services by Using Transitivity Thresholds
21(8)
Pietro Amenta
Antonio Lucadamo
Gabriella Marcarelli
Staging Cancer Through Text Mining of Pathology Records
29(18)
Pietro Belloni
Giovanna Boccuzzo
Stefano Guzzinati
Irene Italiano
Carlo R. Rossi
Massimo Rugge
Manuel Zorzi
Predicting the Risk of Gambling Activities in Adolescence: A Case Study
47(12)
Laura Benedan
Gianna Serafina Monti
Municipal Managers in Italy: Skills, Training Requirements and Related Critical Aspects
59(20)
Mario Bolzan
Giovanna Boccuzzo
Marco Marozzi
Attitudes Towards Immigrant Inclusion: A Look at the Spatial Disparities Across European Countries
79(12)
Riccardo Borgoni
Antonella Carcagni
Alessandra Michelangeli
Federica Zaccagnini
A Bibliometric Study of the Global Research Activity in Sustainability and Its Dimensions
91(12)
Rosanna Cataldo
Maria Gabriella Grassia
Carlo Natale Lauro
Marina Marino
Viktoriia Voytsekhovska
Big Data Marketing: A Strategic Alliance
103(12)
Federica Codignola
Data Processing in a Healthcare National System
115(16)
Manlio d'Agostino Panebianco
Anna Capoluongo
Smart Tourism System in Calabria
131(14)
Annarita De Maio
Daniele Ferone
Elisabetta Fersini
Enza Messina
Francesco Santoro
Antonio Violi
Spatial Localization of Visitors Mobile Phones in a Sardinian Destinations' Network
145(12)
Anna Maria Fiori
Ilaria Foroni
The Role of Open Data in Healthcare Research
157(18)
Carlotta Galeone
Rossella Bonzi
Paolo Mariani
Social Epidemiology: The Challenges and Opportunities of Worldwide Data Consortia
175(12)
Carlotta Galeone
Rossella Bonzi
Federica Turati
Claudio Pelucchi
Matteo Rota
Carlo La Vecchia
Identification of Opinion Makers on Twitter
187(12)
Svitlana Galeshchuk
Ju Qiu
Modelling Human Intelligence Using Mixed Model Approach
199(20)
Thanigaivasan Gokul
Mamandur Rangaswamy Srinivasan
Michele Gallo
An Analysis of the Impact of Requirements on Wages Within Sectors of the Tourism Industry
219(16)
Paolo Mariani
Andrea Marietta
Lucio Masserini
Mariangela Zenga
Big Data and Economic Analysis: The Challenge of a Harmonized Database
235(12)
Caterina Marini
Vittorio Nicolardi
ROC Curve in GAMLSS as Prediction Tool for Big Data
247(12)
Andrea Marietta
Social Media in Disasters. Big Data Issues in Public Communication Field
259(10)
Francesco Marrazzo
Gabriella Punziano
Divorce in Italy: A Textual Analysis of Cassation Judgment
269(12)
Rosanna Cataldo
Maria Gabriella Grassia
Marina Marino
Rocco Mazza
Vincenzo Pastena
Emma Zavarrone
A Bayesian Mixture Model for Ecotoxicological Risk Assessment
281(12)
Sonia Migliorati
Gianna Serafina Monti
Virtual Encounter Simulations: A New Methodology for Generating Conflict Data
293(12)
Georg P. Mueller
Is Public Service Motivation-Performance Relationship Mediated by Other Factors?
305(8)
Raffaela Palma
Anna Crisci
Luigi D'Ambra
A Classification Algorithm to Recognize Fake News Websites
313(18)
Giuseppe Pernagallo
Benedetto Torrisi
Davide Bennato
A Comparative Analysis of the University Student Mobility Flows Among European Countries
331(12)
Marialuisa Restaino
Ilaria Primerano
Maria Prosperina Vitale
A Preference Index Design for Big Data
343(10)
Venera Tomaselli
Giulio Giacomo Cantone
Construction of an Immigrant Integration Composite Indicator through the Partial Least Squares Structural Equation Model K-Means
353(14)
Venera Tomaselli
Mario Fordellone
Maurizio Vichi
Facebook Debate on Sea Watch 3 Case: Detecting Offensive Language Through Automatic Topic Mining Techniques
367(12)
Alice Tontodimamma
Emiliano del Gobbo
Vanessa Russo
Annalina Sarra
Lara Fontanella
Martini's Index and Total Factor Productivity Calculation
379(14)
Biancamaria Zavanella
Daniele Pirotta
Author Index 393
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).