Abstract
Knowledge network is formed by interchain coupling of knowledge chains, there is a non-linear structural link formed among the knowledge chains. The set of synergy effect of knowledge network is a complex system that stems from its self-organization. The relationship between network topology entropy and structure of knowledge networks was studied in this paper, which derived that the topology entropy of such a complex network is between \(\frac{1}{2}\ln {4(n-1)}\thicksim \ln {n}\). Different types of knowledge networks have different entropy distribution, but all of them follow power law distribution.
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Acknowledgments
This work is supported by the Sichuan University’s Special Research Program for the Philosophy Social Science (SKX201004) and Innovation Team Project of Education Department of Sichuan Province ‘Knowledge Chain Management’ (13TD0040).
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Wu, Y., Gu, X., Wang, T. (2014). Synergy Effect of Knowledge Network and Its Self-Organization. In: Xu, J., Cruz-Machado, V., Lev, B., Nickel, S. (eds) Proceedings of the Eighth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55122-2_73
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DOI: https://doi.org/10.1007/978-3-642-55122-2_73
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