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Big Data Research for Social Sciences and Social Impact

A new era of innovation is enabled by the integration of social sciences and information systems research. In this context, the adoption of Big Data and analytics technology brings new insight to the social sciences. It also delivers new, flexible responses to crucial social problems and challenges....

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Bibliographic Details
Main Author: Visvizi, Anna
Other Authors: Lytras, Miltiadis, Chui, Kwok Tai
Format: eBook
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
Machine Learning
Data Mining
Skills
Innovation
Sustainable Agri-food Systems
Filtering
Social And Humanistic Computing
Social Impact
Analytics
Paradox
Lbsn
Big Data
Knowledge Management
Online Data
Innovation In Sustainable Agriculture
Social Network
Educational Data Mining
History Of Engineering & Technology / Bicssc
Spatial Accessibility Of Residential Public Services
Place Sustainability
Back-propagation Neural Network
Gdpr
Smart Cities
Bibliometric Analysis
Topic Analysis
Social Networks
Online Community
Web Science
Housing Problem
Technopolitics
Promising Technology
Hype Cycle
Innovation Networks
Policy
Context–problem Network
Institutional Innovation
Big Data Analytic Methods
Online Word-of-mouth
Kde
Greek Attica
Opinion Mining
Social Sciences
Gwr
Transaction Costs
Prediction Grades
Temporal Analytics
Tripadvisor
Destination Image
Sales Prediction
Illegal Accommodation
Spatiotemporal Analysis
Decision Making
Framing
Research Frontier
Sustainable Development
Product Attributes
Building Stock Management
Data Science
Xiamen City
Hong Kong
Information Systems
User-generated Content
Community Detection
Decision-makers
Tp Organics
Sentiment Polarity Classification
Semantic Network Analysis
Nodexl
Technology Platforms
Smart Citizens
Data Analyst
Decision-making
Social Good
Social Media
Sustainable Wireless Energy Transmission Technology
Online Travel Review
Text Mining
Advanced Business Analytics
Network Data Analysis
Problem-solved Concept
Sustainability Development
Learning Analytics
Researchers
Guangzhou
Check-in Density
Sentiment Analysis
Maturity Model
Early Career
Social Media Big Data
Point Of Interests (poi)
Barcelona
Resource Optimisation
Dynamic Topic Model
Experimental Cities
Data Commons
Review Voting
Car Review
Sde
Association Rule
Information Diffusion
Systematic And Replicable Patent Analysis Method
Sustainability
Big Data Analytics
Social Inclusive Economic Growth
Big Data Research
Framings
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:A new era of innovation is enabled by the integration of social sciences and information systems research. In this context, the adoption of Big Data and analytics technology brings new insight to the social sciences. It also delivers new, flexible responses to crucial social problems and challenges. We are proud to deliver this edited volume on the social impact of big data research. It is one of the first initiatives worldwide analyzing of the impact of this kind of research on individuals and social issues. The organization of the relevant debate is arranged around three pillars: Section A: Big Data Research for Social Impact: • Big Data and Their Social Impact; • (Smart) Citizens from Data Providers to Decision-Makers; • Towards Sustainable Development of Online Communities; • Sentiment from Online Social Networks; • Big Data for Innovation. Section B. Techniques and Methods for Big Data driven research for Social Sciences and Social Impact: • Opinion Mining on Social Media; • Sentiment Analysis of User Preferences; • Sustainable Urban Communities; • Gender Based Check-In Behavior by Using Social Media Big Data; • Web Data-Mining Techniques; • Semantic Network Analysis of Legacy News Media Perception. Section C. Big Data Research Strategies: • Skill Needs for Early Career Researchers—A Text Mining Approach; • Pattern Recognition through Bibliometric Analysis; • Assessing an Organization’s Readiness to Adopt Big Data; • Machine Learning for Predicting Performance; • Analyzing Online Reviews Using Text Mining; • Context–Problem Network and Quantitative Method of Patent Analysis. Complementary social and technological factors including: • Big Social Networks on Sustainable Economic Development; Business Intelligence.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
Physical Description:1 electronic resource (416 p.)
ISBN:9783039282203
9783039282210
books978-3-03928-221-0

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