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New Technology of Library and Information Service  2010, Vol. 26 Issue (5): 58-65    DOI: 10.11925/infotech.1003-3513.2010.05.10
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Research on Discrimination of Scientific Papers Based on Laplacian Spectrum Analysis
Sun Wenjun,Wang Qian
(School of Management, Harbin Institute of Technology, Harbin 150001, China)
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This paper studies the Laplacian spectrum of scientific papers’ word co-occurrence network from three aspects: the Laplacian spectrum rank, the Laplace spectral density, and the Laplacian extremal eigenvalues. Through comparative analysis, the Laplacian spectral features of scientific papers’ word co-occurrence network are obviously different, and these differences can be used for discriminating the authenticity of scientific paper.

Key wordsComplex network        Word co-occurrence network         Laplacian spectrum         Laplace spectral density     
Received: 14 April 2010      Published: 25 May 2010


Corresponding Authors: Sun Wenjun     E-mail:

Cite this article:

Sun Wenjun Wang Qian. Research on Discrimination of Scientific Papers Based on Laplacian Spectrum Analysis. New Technology of Library and Information Service, 2010, 26(5): 58-65.

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