Big Data Research for Social Sciences and Social Impact

• Huvudskapare: Visvizi, Anna (auth)
• Övriga skapare: Lytras, Miltiadis (auth), Chui, Kwok Tai (auth)
• Materialtyp: Elektronisk Bokavsnitt
• Språk: engelska
• Publicerad: MDPI - Multidisciplinary Digital Publishing Institute 2020
• Ämnen: History of engineering & technology; 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
• Länkar: DOAB: download the publication; DOAB: description of the publication

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....