The Empirical Study of Knowledge Diffusion Based on Citation Networks

Zhiyuan GE, Kanran LI

Journal of Systems Science and Information ›› 2025, Vol. 13 ›› Issue (3) : 464-484.

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Journal of Systems Science and Information ›› 2025, Vol. 13 ›› Issue (3) : 464-484. DOI: 10.12012/JSSI-2024-0072

The Empirical Study of Knowledge Diffusion Based on Citation Networks

  • Zhiyuan GE1(Email), Kanran LI2(Email)
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Abstract

This paper investigates the influence of various knowledge roles on knowledge diffusion empirically. Exponential random graph models (ERGM) are constructed, which provides a novel perspective for examining the factors that influence knowledge diffusion. Our empirical findings reveal that the endogenous structural effects of the network have a significant impact on the formation of diffusion relationships in citation networks and that there is a correlation between the number of the three knowledge roles - contributors, seekers and brokers - and the likelihood of citation relationship formation in citation networks.

Key words

knowledge diffusion / exponential random graph model / citation networks / knowledge roles

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Zhiyuan GE, Kanran LI. The Empirical Study of Knowledge Diffusion Based on Citation Networks. Journal of Systems Science and Information, 2025, 13(3): 464-484 https://doi.org/10.12012/JSSI-2024-0072

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