Article published by Francesco Paolo Appio, Antonella Martini, Silvia Massa and Stefania Testa in Scientometrics, Forthcoming on October 11th, 2015. Francesco Paolo Appio is a professor and researcher at EMLV and member of the Devinci Business Research Group at Pôle Léonard de Vinci.
This article uses a bundle of bibliometric and text-mining techniques to provide a systematic assessment of the intellectual core of the Social Media-based innovation research field.
The goal of this study is to identify main research areas, understand the current state of development and suggest potential future directions by analysing co-citations from 155 papers published between 2003 and 2013 in the most influential academic journals.
The main clusters have been identified, mapped, and labelled. Their most active areas on this topic and the most influential and co-cited papers have been identified and described.
Also, intra- and inter-cluster knowledge base diversity has been assessed by using indicators stemming from the domains of Information Theory and Biology.
A t test has been performed to assess the significance of the inter-cluster diversity. Five co-existing research streams shaping the research field under investigation have been identified and characterized.
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Full article : http://link.springer.com/article/10.1007%2Fs11192-016-1955-9