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There is “big data fever” in both industry and academia. Much of this fever has been on the analytic side of big data: big data as “large, diverse, and fast-moving datasets”, and processing and analyzing such datasets for challenging business and societal problems. The goal of this research is to shed a different light on big data—big data as a digital service innovation. This innovative side of big data pays attention to the novelty and evolution of big data ecosystems and of the diverse elements. This research reviews some recent literature on digital innovation and service innovation, and uses an evolutionary, ecosystem-based framework to understand big data as a digital service innovation. The study uses digital trace data. Over 260,000 Twitter data containing the hashtag #bigdata, collected in two phases (March 2013 and June 2014), are processed and analyzed.

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Big Data Ecosystem: Network Analysis and Community Structure Detection

There is “big data fever” in both industry and academia. Much of this fever has been on the analytic side of big data: big data as “large, diverse, and fast-moving datasets”, and processing and analyzing such datasets for challenging business and societal problems. The goal of this research is to shed a different light on big data—big data as a digital service innovation. This innovative side of big data pays attention to the novelty and evolution of big data ecosystems and of the diverse elements. This research reviews some recent literature on digital innovation and service innovation, and uses an evolutionary, ecosystem-based framework to understand big data as a digital service innovation. The study uses digital trace data. Over 260,000 Twitter data containing the hashtag #bigdata, collected in two phases (March 2013 and June 2014), are processed and analyzed.