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Social data analysis is a style of analysis in which people work in a social, collaborative context to make sense of data. The term was introduced by Martin Wattenberg in 2005 [1] and recently also addressed as big social data analysis [2] in relation to big data computing.
On a Social Data Analysis system or network, users store data sets and create visual representations. The datasets and visualisations/graphs are accessible to other users of the network or website. Users can create new and interesting visualisations/graphs as well as associated commentary from the same data sets. The discussion mechanisms often use frameworks such as a blogs and wikis to drive this social exploration/Collaborative intelligence.
This is a new slant on business intelligence where social exploration of data can lead to serious analysis and important insight that the initiating user did not envisage/explore (for whatever reason).
Universities all over the world are opening graduate program in Social Data Analysis.
See also
External links
- Social Data - Ferramenta para Redes Sociais
- Social Data Analysis Workshop at CHI 2008
- Designing for Social Data Analysis
- Social Data Analysis Application: Grandstand
- Multidisciplinary Approaches to Big Social Data Analysis (WWW13 workshop)
- Mining the Social Web (website)
- Mining the Social Web, 2nd Edition (O'Reilly Media, 2013)
References
- ^ 2005: Baby Names, Visualization, and Social Data Analysis Martin Wattenberg. IEEE Symposium on Information Visualization.
- ^
Erik Cambria (2013). "13". Big social data analysis. Taylor & Francis.
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