Using complex network representation to identify important structural components of Chinese characters

Grace Crosley, Mehmet Hadi Gunes

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations

    Abstract

    It has recently been shown that the Chinese character system can be treated as a complex network, in which the nodes represent written Chinese character components, and a connection between nodes indicates a structural relationship between the two corresponding components. This study explores the complex network formed by written Chinese components. We examine the considerations involved in generating such a network (boundary choice, weighting of edges and nodes, connectivity model, etc.). Treating these considerations as variables, we create several complex network representations of the Chinese writing system, and compare their resulting topologies. By analyzing these networks, we try to identify important written components and component clusters, and thereby gain insight into the best strategies for structure-based written Chinese vocabulary acquisition. Sample networks can be found at http://cse.unr.edu/∼mgunes/ Chinese/.

    Original languageEnglish
    Title of host publicationComplex Networks V
    Subtitle of host publicationProceedings of the 5th Workshop on Complex Networks CompleNet 2014
    Pages319-328
    Number of pages10
    DOIs
    StatePublished - 2014

    Publication series

    NameStudies in Computational Intelligence
    Volume549
    ISSN (Print)1860-949X

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