%0 Journal Article
%T Research on Discrimination of Scientific Papers Based on Laplacian Spectrum Analysis<br>基于拉普拉斯谱分析的真伪科学论文甄别研究
%A Sun Wenjun
%A Wang Qian
%A <br>孙文俊
%A 王谦
%J 现代图书情报技术
%D 2010
%I 
%X 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.
%K 复杂网络
%K 词同现网络
%K 拉普拉斯谱
%K 拉普拉斯谱密度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=E46382710BF131B2&jid=24AADBCD0D5373C73F37F78D10E2F717&aid=36B47380D05BD11F05939E64527E4BE3&yid=140ECF96957D60B2&vid=96C778EE049EE47D&iid=94C357A881DFC066&sid=9FFCC7AF50CAEBF7&eid=8BD23BD67BF01A5C&journal_id=1003-3513&journal_name=现代图书情报技术&referenced_num=0&reference_num=0