Data science and social research: epistemology, methods, technology and applications
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2017]
|
| Schriftenreihe: | Studies in classification, data analysis, and knowledge organization
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | ix, 300 Seiten Illustrationen, Diagramme |
| ISBN: | 9783319554761 |
| ISSN: | 1431-8814 |
Internformat
MARC
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| 245 | 1 | 0 | |a Data science and social research |b epistemology, methods, technology and applications |c N. Carlo Lauro, Enrica Amaturo, Maria Gabriella Grassia, Biagio Aragona, Marina Marino, editors |
| 264 | 1 | |a Cham |b Springer |c [2017] | |
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| 490 | 0 | |a Studies in classification, data analysis, and knowledge organization |x 1431-8814 | |
| 650 | 4 | |a Statistics | |
| 650 | 4 | |a Epistemology | |
| 650 | 4 | |a Social policy | |
| 650 | 4 | |a Social sciences | |
| 650 | 4 | |a Communication | |
| 650 | 4 | |a Sociology | |
| 650 | 4 | |a Mass media | |
| 650 | 4 | |a Statistics | |
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| 650 | 4 | |a Methodology of the Social Sciences | |
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| 650 | 4 | |a Social Policy | |
| 650 | 4 | |a Statistics and Computing/Statistics Programs | |
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| 700 | 1 | |a Amaturo, Enrica |4 edt | |
| 700 | 1 | |a Grassia, Maria Gabriella |4 edt | |
| 700 | 1 | |a Aragona, Biagio |e Sonstige |0 (DE-588)1150414650 |4 oth | |
| 700 | 1 | |a Marino, Marina |4 edt | |
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Datensatz im Suchindex
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|---|---|
| adam_text | Contents
Introduction....................................................... 1
Enrica Amaturo and Biagio Aragona
Part I Epistemology
On Data, Big Data and Social Research. Is It a Real Revolution?.... 9
Federico Neresini
New Data Science: The Sociological Point of View................... 17
Biagio Aragona
Data Revolutions in Sociology................. .................... 25
Barbara Saracino
Blurry Boundaries: Internet, Big-New Data, and Mixed-Method
Approach.............................................................. 35
Enrica Amaturo and Gabriella Punziano
Social Media and the Challenge of Big Data/Deep Data Approach...... 57
Giovanni Boccia Artieri
Governing by Data: Some Considerations on the Role of Learning
Analytics in Education . . ?.................................. 67
Rosanna De Rosa
Part II Methods, Software and Data Architectures
Multiple Correspondence K-Means: Simultaneous Versus Sequential
Approach for Dimension Reduction and Clustering....................... 81
Mario Fordellone and Maurizio Vichi
TaLTaC 3.0. A Multi-level Web Platform for Textual Big Data in the
Social Sciences....................................................... 97
Sergio Bolasco and Giovanni De Gasperis
vii
Contents
viii
Sparsity Data Reduction in Textual Network Analysis: An Exercise on
Sustainability Meaning................................................ 105
Emma Zavarrone, Filomena Grassia, Maria Gabriella Grassia
and Marina Marino
University of Bari s Website Evaluation............................... 121
Laura Antonucci, Marina Basile, Corrado Crocetta, Viviana D’Addosio,
Francesco D. d’Ovidio and Domenico Viola
Advantages of Administrative Data: Three Analyses of Students
Careers in Higher Education........................................... 131
Andrea Amico, Giampiero D* Alessandro and Alessandra Decataldo
Growth Curve Models to Detect Walking Impairment: The Case of
InCHIANTI Study....................................................... 141
Catia Monicolini and Carla Rampichini
Recurrence Analysis: Method and Applications.......................... 151
Maria Carmela Catone and Marisa Faggini
Part III On-Line Data Applications
Big Data and Network Analysis: A Promising Integration for
Decision-Making....................................................... 165
Giovanni Giuflrida, Simona Gozzo, Francesco Mazzeo Rinaldi
and Venera Tomaselli
White House Under Attack: Introducing Distributional Semantic
Models for the Analysis of US Crisis Communication Strategies........ 175
Fabrizio Esposito, Estella Esposito and Pierpaolo Basile
#Theterrormood: Studying the World Mood After the Terror Attacks
on Paris and Bruxelles.............................................. 185
Rosanna Cataldo, Roberto Galasso, Maria Gabriella Grassia
and Marino Marina
Learning Analytics in MOOCs: EMMA Case................................ 193
Maka Eradze and Kairit Tammets
Tweet-Tales: Moods of Socio-Economic Crisis?.......................... 205
Grazia Biorci, Antonella Emina, Michelangelo Puliga, Lisa Sella
and Gianna Vivaldo
The Sentiment of the Infosphere: A Sentiment Analysis Approach for
the Big Conversation on the Net...................................... 215
Antonio Ruoto, Vito Santarcangelo, Davide Liga, Giuseppe Oddo, Mas-
similiano Giacalone and Eugenio Iorio
Contents ix
The Promises of Sociological Degrees: A Lexical Correspondence
Analysis of Masters Syllabi............................................ 223
D. Borrelli, R. Serpieri, D. Taglietti and D. Trezza
Part IV Off-Line Data Applications
Exploring Barriers in the Sustainable Microgeneration: Preliminary
Insights Thought the PLS-PM Approach................................... 239
Ivano Scotti and Dario Minervini
Individual Disadvantage and Training Policies: The Construction of
“Model-Based” Composite Indicators..................................... 249
Rosanna Cataldo, Maria Gabriella Grassia, Natale Carlo Lauro,
Elena Ragazzi and Lisa Sella
Measuring the Intangibles: Testing the Human Capital Theory
Against the OECD Programme for the International Assessment of
Adult Competencies.................................................... 261
Federica Comali
Analysis of the Employment Transitions and Analysis of the
Unemployment Risk in the Social Security Account Statements of the
Patronato ACLI......................................................... 269
D, Catania, A. Serini and G. Zueca
Integrated Education Microdata to Support Statistics Production....... 283
Maria Carla Runci, Grazia Di Bella and Francesca Cuppone
Latent Growth and Statistical Literacy................................ 291
Emma Zavarrone
|
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| indexdate | 2024-07-10T07:59:53Z |
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| isbn | 9783319554761 |
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| spelling | Data science and social research epistemology, methods, technology and applications N. Carlo Lauro, Enrica Amaturo, Maria Gabriella Grassia, Biagio Aragona, Marina Marino, editors Cham Springer [2017] © 2017 ix, 300 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Studies in classification, data analysis, and knowledge organization 1431-8814 Statistics Epistemology Social policy Social sciences Communication Sociology Mass media Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Methodology of the Social Sciences Social Policy Statistics and Computing/Statistics Programs Media Research Data Mining (DE-588)4428654-5 gnd rswk-swf Business Intelligence (DE-588)4588307-5 gnd rswk-swf Empirische Sozialforschung (DE-588)4014606-6 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2016 Neapel gnd-content Data Mining (DE-588)4428654-5 s Business Intelligence (DE-588)4588307-5 s Big Data (DE-588)4802620-7 s Empirische Sozialforschung (DE-588)4014606-6 s DE-604 Lauro, N. C. edt Amaturo, Enrica edt Grassia, Maria Gabriella edt Aragona, Biagio Sonstige (DE-588)1150414650 oth Marino, Marina edt Erscheint auch als Online-Ausgabe 978-3-319-55477-8 Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030102498&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Data science and social research epistemology, methods, technology and applications Statistics Epistemology Social policy Social sciences Communication Sociology Mass media Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Methodology of the Social Sciences Social Policy Statistics and Computing/Statistics Programs Media Research Data Mining (DE-588)4428654-5 gnd Business Intelligence (DE-588)4588307-5 gnd Empirische Sozialforschung (DE-588)4014606-6 gnd Big Data (DE-588)4802620-7 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4588307-5 (DE-588)4014606-6 (DE-588)4802620-7 (DE-588)1071861417 |
| title | Data science and social research epistemology, methods, technology and applications |
| title_auth | Data science and social research epistemology, methods, technology and applications |
| title_exact_search | Data science and social research epistemology, methods, technology and applications |
| title_full | Data science and social research epistemology, methods, technology and applications N. Carlo Lauro, Enrica Amaturo, Maria Gabriella Grassia, Biagio Aragona, Marina Marino, editors |
| title_fullStr | Data science and social research epistemology, methods, technology and applications N. Carlo Lauro, Enrica Amaturo, Maria Gabriella Grassia, Biagio Aragona, Marina Marino, editors |
| title_full_unstemmed | Data science and social research epistemology, methods, technology and applications N. Carlo Lauro, Enrica Amaturo, Maria Gabriella Grassia, Biagio Aragona, Marina Marino, editors |
| title_short | Data science and social research |
| title_sort | data science and social research epistemology methods technology and applications |
| title_sub | epistemology, methods, technology and applications |
| topic | Statistics Epistemology Social policy Social sciences Communication Sociology Mass media Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Methodology of the Social Sciences Social Policy Statistics and Computing/Statistics Programs Media Research Data Mining (DE-588)4428654-5 gnd Business Intelligence (DE-588)4588307-5 gnd Empirische Sozialforschung (DE-588)4014606-6 gnd Big Data (DE-588)4802620-7 gnd |
| topic_facet | Statistics Epistemology Social policy Social sciences Communication Sociology Mass media Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Methodology of the Social Sciences Social Policy Statistics and Computing/Statistics Programs Media Research Data Mining Business Intelligence Empirische Sozialforschung Big Data Konferenzschrift 2016 Neapel |
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