arXiv Open Access 2023

Revisiting Network Value: Sublinear Knowledge Law

Xinbing Wang Luoyi Fu Huquan Kang Zhouyang Jin Lei Zhou +1 lainnya

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Abstrak

Three influential laws, namely Sarnoff's Law, Metcalfe's Law, and Reed's Law, have been established to describe network value in terms of the number of neighbors, edges, and subgraphs. Here, we highlight the coexistence of these laws in citation networks for the first time, utilizing the Deep-time Digital Earth academic literature. We further introduce a novel concept called the sublinear knowledge law, which demonstrates that knowledge growth is notably slower than both the growth rate of network size and the rates outlined by the aforementioned traditional laws. These results offer an innovative perspective while also filling a gap regarding network value.

Topik & Kata Kunci

physics.soc-ph cs.SI

Penulis (6)

Xinbing Wang

Luoyi Fu

Huquan Kang

Zhouyang Jin

Lei Zhou

Chenghu Zhou

Format Sitasi

APA MLA BibTeX

Wang, X., Fu, L., Kang, H., Jin, Z., Zhou, L., Zhou, C. (2023). Revisiting Network Value: Sublinear Knowledge Law. https://arxiv.org/abs/2304.14084

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓