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DOI: 10.1371/journal.pone.0118394
论文题名:
Probing the Topological Properties of Complex Networks Modeling Short Written Texts
作者: Diego R. Amancio
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2015
发表日期: 2015-2-26
卷: 10, 期:2
语种: 英语
英文关键词: Support vector machines ; Network analysis ; Language ; Skewness ; Syntax ; Decision trees ; Geology ; Structural geology
英文摘要: In recent years, graph theory has been widely employed to probe several language properties. More specifically, the so-called word adjacency model has been proven useful for tackling several practical problems, especially those relying on textual stylistic analysis. The most common approach to treat texts as networks has simply considered either large pieces of texts or entire books. This approach has certainly worked well—many informative discoveries have been made this way—but it raises an uncomfortable question: could there be important topological patterns in small pieces of texts? To address this problem, the topological properties of subtexts sampled from entire books was probed. Statistical analyses performed on a dataset comprising 50 novels revealed that most of the traditional topological measurements are stable for short subtexts. When the performance of the authorship recognition task was analyzed, it was found that a proper sampling yields a discriminability similar to the one found with full texts. Surprisingly, the support vector machine classification based on the characterization of short texts outperformed the one performed with entire books. These findings suggest that a local topological analysis of large documents might improve its global characterization. Most importantly, it was verified, as a proof of principle, that short texts can be analyzed with the methods and concepts of complex networks. As a consequence, the techniques described here can be extended in a straightforward fashion to analyze texts as time-varying complex networks.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0118394&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/20728
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, São Paulo, Brazil

Recommended Citation:
Diego R. Amancio. Probing the Topological Properties of Complex Networks Modeling Short Written Texts[J]. PLOS ONE,2015-01-01,10(2)
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