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- W2905389099 abstract "The prediction of consumer behavior is largely based on the analysis of consumer data using statistics as a tool for prediction. Thanks to online social networks, large quantities of heterogeneous consumer data are now available at competitive costs. Though they have much in common with conventional data, online social network datasets display several different properties. The exploration of these unique properties is indispensable to insuring the accuracy of predictions and data analytics. This chapter presents online social data, discusses seven properties of online social network data, suggests some analysis tools, and draws implications regarding the use of social data analytics." @default.
- W2905389099 created "2018-12-22" @default.
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- W2905389099 date "2014-03-03" @default.
- W2905389099 modified "2023-10-18" @default.
- W2905389099 title "Exploring the Properties of Online Social Network Data and Their Implications for Consumer Social Data Analytics" @default.
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- W2905389099 doi "https://doi.org/10.4018/978-1-4666-5194-4.ch009" @default.
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