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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| Format: | Online |
| Language: | English |
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MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Online Access: | 44834 |
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| _version_ | 1869519803710963712 |
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| author | Visvizi, Anna Lytras, Miltiadis Chui, Kwok Tai |
| author_browse | Chui, Kwok Tai Lytras, Miltiadis Visvizi, Anna |
| author_facet | Visvizi, Anna Lytras, Miltiadis Chui, Kwok Tai |
| author_sort | Visvizi, Anna |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-42089 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-420892024-04-11T15:10:11Z Big Data Research for Social Sciences and Social Impact Visvizi, Anna Lytras, Miltiadis Chui, Kwok Tai TA1-2040 T1-995 online community bibliometric analysis KDE big data analytic methods TP organics skills topic analysis systematic and replicable patent analysis method SDE Guangzhou filtering point of interests (POI) framing innovation in sustainable agriculture researchers sentiment polarity classification illegal accommodation dynamic topic model network data analysis decision-making learning analytics research frontier prediction grades framings opinion mining association rule big data research Hong Kong place sustainability spatial accessibility of residential public services maturity model data science educational data mining spatiotemporal analysis information systems information diffusion smart citizens policy back-propagation neural network innovation social media big data lbsn GWR context–problem network Social network machine learning web science social good social sciences online data resource optimisation data commons sustainable agri-food systems social and humanistic computing product attributes analytics car review technology platforms big data community detection technopolitics transaction costs problem-solved concept sales prediction sentiment analysis Barcelona TripAdvisor innovation networks sustainability sustainable development experimental cities online travel review check-in density decision making smart cities GDPR hype cycle advanced business analytics institutional innovation temporal analytics data mining decision-makers online word-of-mouth knowledge management semantic network analysis sustainable wireless energy transmission technology housing problem social impact paradox early career Greek Attica text mining user-generated content social media big data analytics social networks sustainability development building stock management data analyst NodeXL review voting promising technology social inclusive economic growth destination image Xiamen City thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 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. 2021-02-11T09:03:10Z 2021-02-11T09:03:10Z 2020-04-07 23:07:09 2020 book 44834 9783039282210 9783039282203 https://directory.doabooks.org/handle/20.500.12854/42089 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/2111 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03928-221-0 10.3390/books978-3-03928-221-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039282210 9783039282203 416 open access |
| spellingShingle | TA1-2040 T1-995 online community bibliometric analysis KDE big data analytic methods TP organics skills topic analysis systematic and replicable patent analysis method SDE Guangzhou filtering point of interests (POI) framing innovation in sustainable agriculture researchers sentiment polarity classification illegal accommodation dynamic topic model network data analysis decision-making learning analytics research frontier prediction grades framings opinion mining association rule big data research Hong Kong place sustainability spatial accessibility of residential public services maturity model data science educational data mining spatiotemporal analysis information systems information diffusion smart citizens policy back-propagation neural network innovation social media big data lbsn GWR context–problem network Social network machine learning web science social good social sciences online data resource optimisation data commons sustainable agri-food systems social and humanistic computing product attributes analytics car review technology platforms big data community detection technopolitics transaction costs problem-solved concept sales prediction sentiment analysis Barcelona TripAdvisor innovation networks sustainability sustainable development experimental cities online travel review check-in density decision making smart cities GDPR hype cycle advanced business analytics institutional innovation temporal analytics data mining decision-makers online word-of-mouth knowledge management semantic network analysis sustainable wireless energy transmission technology housing problem social impact paradox early career Greek Attica text mining user-generated content social media big data analytics social networks sustainability development building stock management data analyst NodeXL review voting promising technology social inclusive economic growth destination image Xiamen City thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Visvizi, Anna Lytras, Miltiadis Chui, Kwok Tai Big Data Research for Social Sciences and Social Impact |
| title | Big Data Research for Social Sciences and Social Impact |
| title_full | Big Data Research for Social Sciences and Social Impact |
| title_fullStr | Big Data Research for Social Sciences and Social Impact |
| title_full_unstemmed | Big Data Research for Social Sciences and Social Impact |
| title_short | Big Data Research for Social Sciences and Social Impact |
| title_sort | big data research for social sciences and social impact |
| topic | TA1-2040 T1-995 online community bibliometric analysis KDE big data analytic methods TP organics skills topic analysis systematic and replicable patent analysis method SDE Guangzhou filtering point of interests (POI) framing innovation in sustainable agriculture researchers sentiment polarity classification illegal accommodation dynamic topic model network data analysis decision-making learning analytics research frontier prediction grades framings opinion mining association rule big data research Hong Kong place sustainability spatial accessibility of residential public services maturity model data science educational data mining spatiotemporal analysis information systems information diffusion smart citizens policy back-propagation neural network innovation social media big data lbsn GWR context–problem network Social network machine learning web science social good social sciences online data resource optimisation data commons sustainable agri-food systems social and humanistic computing product attributes analytics car review technology platforms big data community detection technopolitics transaction costs problem-solved concept sales prediction sentiment analysis Barcelona TripAdvisor innovation networks sustainability sustainable development experimental cities online travel review check-in density decision making smart cities GDPR hype cycle advanced business analytics institutional innovation temporal analytics data mining decision-makers online word-of-mouth knowledge management semantic network analysis sustainable wireless energy transmission technology housing problem social impact paradox early career Greek Attica text mining user-generated content social media big data analytics social networks sustainability development building stock management data analyst NodeXL review voting promising technology social inclusive economic growth destination image Xiamen City thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | TA1-2040 T1-995 online community bibliometric analysis KDE big data analytic methods TP organics skills topic analysis systematic and replicable patent analysis method SDE Guangzhou filtering point of interests (POI) framing innovation in sustainable agriculture researchers sentiment polarity classification illegal accommodation dynamic topic model network data analysis decision-making learning analytics research frontier prediction grades framings opinion mining association rule big data research Hong Kong place sustainability spatial accessibility of residential public services maturity model data science educational data mining spatiotemporal analysis information systems information diffusion smart citizens policy back-propagation neural network innovation social media big data lbsn GWR context–problem network Social network machine learning web science social good social sciences online data resource optimisation data commons sustainable agri-food systems social and humanistic computing product attributes analytics car review technology platforms big data community detection technopolitics transaction costs problem-solved concept sales prediction sentiment analysis Barcelona TripAdvisor innovation networks sustainability sustainable development experimental cities online travel review check-in density decision making smart cities GDPR hype cycle advanced business analytics institutional innovation temporal analytics data mining decision-makers online word-of-mouth knowledge management semantic network analysis sustainable wireless energy transmission technology housing problem social impact paradox early career Greek Attica text mining user-generated content social media big data analytics social networks sustainability development building stock management data analyst NodeXL review voting promising technology social inclusive economic growth destination image Xiamen City thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | 44834 |
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