Publication: A Framework for Knowledge Management using Complex Networks Methods
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2016
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Abstract
In a world where complexity is constantly increasing due to the technological advancement, large scale of data
available and increased interaction between various phenomena there was a need for a field of study to model and
understand such complex systems. One such field of research is called Complex Networks Analysis (CNA) or
Network Science. The heart of this research field leverages on Graph Theory and Computer Science. In this paper
we shall briefly present a common framework for knowledge management using CNA methods. The power of the
framework shall be proven by extracting knowledge from various heterogeneous domains like: Tourism, E-learning,
Freight Transportation , and Organisational Analysis.
Description
Proceedings of the First PhD Symposium on Sustainable Ultrascale
Computing Systems (NESUS PhD 2016) Timisoara, Romania. February 8-11, 2016.
Keywords
Complex Networks, Knowledge Management, Graph Theory, Tourism, E-Learning, Organisational Analysis
Bibliographic citation
Carretero Pérez, Jesús; et.al. (eds.). (2016). Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016). Timisoara, Romania. Universidad Carlos III de Madrid, ARCOS. Pp. 69-72.