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The Suitability of Network Analysis of Social Media Data for the Prediction of Radical Innovations - Probability Patterns in Buzz-Dynamics and the Prediction of Innovation

Jägersberg, Knut (2014) The Suitability of Network Analysis of Social Media Data for the Prediction of Radical Innovations - Probability Patterns in Buzz-Dynamics and the Prediction of Innovation.

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Abstract:Network patterns in social media meta-data are created, put in context, and found to be linked to innovations. Specifically, probabilistic patterns in historical network development are proposed to predict innovation. A series of studies on network developments in innovation related buzz was conducted and the patterns were tested in a quasi-experimental design, comparing natural groups of higher innovatively loaded buzz on radically innovative products with natural groups of less innovatively loaded buzz on ‘traditional’ products. Evidence for three predictive patterns could be found. In a second series of studies, two of the patterns were used to predict future innovations with a new methodology, for both known inventions as well as buzz sourced inventions, casted by a ‘product-of-customer-interest’ oracle methodology.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:85 business administration, organizational science
Programme:Business Administration MSc (60644)
Link to this item:http://purl.utwente.nl/essays/64508
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