FerreriCancho R, Sole R V. The Small World of Human Language // Proc of the Royal Society of London, Series B: Biological Sciences, 2001, 268(1482): 22612265
[2]
Watts D J. Small Worlds. Princeton, USA: Princeton University Press, 1999
[3]
Matsuo Y, Ohsawa Y, Ishizuka M. A Document as a Small World // Terano T, Nishida T, Namatame A, et al. eds. Lecture Notes in Computer Science. London, UK: SpringerVerlag, 2253: 444448
[4]
Zhu Mengxiao, Cai Zhi, Cai Qingsheng. Automatic Keywords Extraction of Chinese Document Using Small World Structure // Proc of the International Conference on Natural Language Processing and Knowledge Engineering. Beijing, China, 2003: 438443
[5]
Wei Luoxia, Li Yong, Li Wei, et al. Three Degrees of Separation of Chinese Networks and Small World Effect. Chinese Science Bulletin, 2004, 49(24): 26152616 (in Chinese) (韦络霞,李 勇,李 伟,等.汉字网络的3度分隔与小世界效应. 科学通报,2004, 49(24): 26152616)
[6]
Turney P D. Learning to Extract Keyphrases from Text. Technical Report, ERB1057, Ottawa, Canada: National Research Council Canada. Institute for Information Technology, 1999
[7]
Witten I H, Paynter G W, Frank E, et al. KEA: Practical Automatic Keyphrase Extraction // Proc of the 4th ACM Conference on Digital Libraries. Berkeley, USA, 1999: 254255
[8]
Lee D L, Chuang H, Seamons K. Document Ranking and the VectorSpace Model. IEEE Software, 1997, 14(2): 6775
[9]
Yao Xin. Studies on Complex Networks and Its Clustering Degree. Ph.D Dissertation. Beijing, China: Tsinghua University. Department of Automation, 2005 (in Chinese) (姚 欣.复杂网络及其聚集度研究.博士学位论文.北京:清华大学.自动化系,2005)
