[1] Siegel R, Ma J, Zou Z, et al. Cancer statistics, 2014[J]. CA Cancer J Clin, 2014, 64(1): 9-29.
[2] 李保红. 对应分析方法及其在肿瘤学中的应用研究[D]. 长沙: 中南大学, 2011.
[3] Callon M, Courtial JP, Turner WA, et al. From translations to poblematic networksan introduction to coword analysis[J]. Soc Sci Inf Sur Les Sci Soc, 1983, 22(2): 191-235.
[4] Callon M, Courtial J, Laville F. Coword analysis as a tool for describing the network of interactions between basic and technology nological research: the case of polymer chemistry[J]. Scientorm, 1991, 22(1): 155-205.
[5] 钟伟金, 李佳. 共词分析法研究(一)——共词分析的过程与方式[J]. 情报杂志, 2008, 27(5): 70-72.
[6] Qin H. Knowledge discovery trough coword analysis[J]. Lib Trends, 1999, 48(1): 133-159.
[7] Wang ZY, Li G, Li CY, et al. Research on the semanticbased coword analysis[J]. Scientom, 2012, 90(3): 855-875.
[8] 胡昌平, 陈果. 科技论文关键词特征及其对共词分析的影响[J]. 情报学报, 2014, 33(1): 23-32.
[9] 苏成, 程薛柯, 田瑞强, 等. 世界全科医学主体结构及其演进可视化研究[J]. 中华全科医学, 2015, 13(8): 1211-1214.
[10] 黄建年, 侯汉清. 中国古籍文本分词的一次试验[J]. 情报学报, 2011, 30(6): 618-625.
[11] Van Raan AFJ, Tijssen RJW. The Neural net of neural network research—an exercise in bibliometric mapping[J]. Scientorm, 1993, 26(1): 169-192.
[12] 赵勇, 李晨英, 韩明杰. 基于VOS方法的农业经济学研究主题的可视化分析[J]. 中国农业大学学报: 社会科学版, 2012, 29(3): 118-125.
[13] Van Eck NJ, Waltman L, Dekker R, et al. A comparison of two techniques for bibliometric mapping: multidimensional scaling and VOS[J]. J Am Soc Inf Sci Tec, 2010, 61(12): 2405-2416.
[14] Cobo MJ, LópezHerrera AG, HerreraViedma E, et al. An approach for detecting, quantifying, and visualizing the evolution of a research field: a practical application to the fuzzy sets theory field[J]. J Inform, 2011, 5(1): 146-166.
[15] Zheng B, McLean DC Jr, Lu X. Identifying biological concepts from a proteinrelated corpus with a probabilistic topic model[J]. BMC Bioinform, 2006, 7: 58. |