A Network Based Methodology to Reveal Patterns in Knowledge Transfer

In this paper, the authors present and demonstrates in use a methodology based in complex network analysis to support aimed at identification of sources in the process of knowledge transfer at the inter organizational level. The importance of this methodology is that it states a unified model to reveal knowledge sharing patterns and to compare results from multiple papers on data from different periods of time and different sectors of the economy. This methodology does not address the underlying statistical processes. To do this, National Statistics Department (NSD) provides documents and tools at their websites. But this proposal provides a guide to model information inferences gathered from data processing revealing links between sources and recipients of knowledge being transferred and that the recipient detects as main source to new knowledge creation.

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International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)