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 1 2 ln 4(n - 1) ∼ ln n. Different types of knowledge networks have different entropy distribution, but all of them follow power law distribution.
CITATION STYLE
Wu, Y., Gu, X., Wang, T., Gu, X., & Wang, T. (2014). Synergy Effect of Knowledge Network and Its Self-Organization. In Advances in Intelligent Systems and Computing (Vol. 281, pp. 855–860). Springer Verlag. https://doi.org/10.1007/978-3-642-55122-2_73
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