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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 〔2005: Baby Names, Visualization, and Social Data Analysis Martin Wattenberg. IEEE Symposium on Information Visualization.〕 and recently also addressed as big social data analysis 〔 〕 in relation to big data computing. Social data analysis comprises two main constituent parts: 1) data generated from social networking sites (or through social applications), and 2) sophisticated analysis of that data, in many cases requiring real-time (or near real-time) data analytics, measurements which understand and appropriately weigh factors such as influence, reach, and relevancy, an understanding of the context of the data being analyzed, and the inclusion of time horizon considerations. In short, social data analytics involves the analysis of social media in order to understand and surface insights which is embedded within the data.〔(IBM Emerging Technology - jStart - On the Horizon - Social data analytics )〕 ==Basic definition== 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). 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Social data analysis」の詳細全文を読む スポンサード リンク
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