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Big Data Research for Social Sciences and Social Impact

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ISBN: 9783039282203 9783039282210 Year: Pages: 416 DOI: 10.3390/books978-3-03928-221-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-04-07 23:07:09
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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.

Keywords

big data --- illegal accommodation --- institutional innovation --- transaction costs --- housing problem --- building stock management --- Hong Kong --- information diffusion --- community detection --- topic analysis --- sentiment analysis --- social networks --- Social network --- sustainable development --- review voting --- online community --- paradox --- smart citizens --- experimental cities --- smart cities --- technopolitics --- big data --- Barcelona --- data commons --- decision-makers --- policy --- GDPR --- big data --- social sciences --- decision-making --- data analyst --- filtering --- framing --- big data --- maturity model --- temporal analytics --- advanced business analytics --- big data analytic methods --- semantic network analysis --- framings --- NodeXL --- promising technology --- research frontier --- bibliometric analysis --- hype cycle --- technology platforms --- sustainable agri-food systems --- innovation in sustainable agriculture --- online data --- data mining --- TP organics --- big data research --- point of interests (POI) --- sustainability development --- spatial accessibility of residential public services --- Xiamen City --- big data --- sales prediction --- online word-of-mouth --- dynamic topic model --- product attributes --- back-propagation neural network --- systematic and replicable patent analysis method --- problem-solved concept --- context–problem network --- network data analysis --- sustainable wireless energy transmission technology --- big data analytics --- text mining --- association rule --- car review --- skills --- researchers --- early career --- text mining --- social media big data --- lbsn --- check-in density --- spatiotemporal analysis --- KDE --- GWR --- SDE --- Guangzhou --- educational data mining --- learning analytics --- machine learning --- big data --- prediction grades --- destination image --- user-generated content --- online travel review --- big data analytics --- opinion mining --- sentiment analysis --- resource optimisation --- place sustainability --- TripAdvisor --- Greek Attica --- opinion mining --- social media --- social networks --- sentiment analysis --- sentiment polarity classification --- social impact --- big data research --- information systems --- analytics --- decision making --- social sciences --- big data research --- social and humanistic computing --- social sciences --- social good --- social impact --- machine learning --- knowledge management --- web science --- data science --- social inclusive economic growth --- sustainability --- innovation --- innovation networks

Open Access and the Library

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ISBN: 9783038977407 Year: Pages: 142 DOI: 10.3390/books978-3-03897-741-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Media and communication
Added to DOAB on : 2019-04-05 10:34:31
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Libraries are places of learning and knowledge creation. Over the last two decades, digital technology—and the changes that came with it—have accelerated this transformation to a point where evolution starts to become a revolution.The wider Open Science movement, and Open Access in particular, is one of these changes and is already having a profound impact. Under the subscription model, the role of libraries was to buy or license content on behalf of their users and then act as gatekeepers to regulate access on behalf of rights holders. In a world where all research is open, the role of the library is shifting from licensing and disseminating to facilitating and supporting the publishing process itself.This requires a fundamental shift in terms of structures, tasks, and skills. It also changes the idea of a library’s collection. Under the subscription model, contemporary collections largely equal content bought from publishers. Under an open model, the collection is more likely to be the content created by the users of the library (researchers, staff, students, etc.), content that is now curated by the library.Instead of selecting external content, libraries have to understand the content created by their own users and help them to make it publicly available—be it through a local repository, payment of article processing charges, or through advice and guidance. Arguably, this is an overly simplified model that leaves aside special collections and other areas. Even so, it highlights the changes that research libraries are undergoing, changes that are likely to accelerate as a result of initiatives such as Plan S.This Special Issue investigates some of the changes in today’s library services that relate to open access.

Adopting Circular Economy Current Practices and Future Perspectives

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ISBN: 9783039283422 9783039283439 Year: Pages: 160 DOI: 10.3390/books978-3-03928-343-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-04-07 23:07:08
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The development of a closed-loop cycle is a necessary condition so as to develop a circular economy model as an alternative to the linear model, in order to maintain the value of products and materials for as long as possible. For this motive, the definition of the value must be demonstrated for both the environment and the economy. The presence of these analyses should be associated with the social dimension and the human component. A strong cooperation between social and technical profiles is a new challenge for all researchers. End of life of products attract a lot of attention, and the final output could be the production of technologies suitable for managing this waste.

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