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Quantitative measurements of bibliometrics based on knowledge entities (i.e., keywords) improve competencies in tracking the structure and dynamic development of various scientific domains. Co-word networks (a content analysis technique and type of knowledge network) are often employed to discern relationships among various scientific concepts in scholarly publications to reveal the development and...
Exploring the topic hierarchy of a research field can help us better recognize its intellectual structure. This paper proposes a new method to automatically discover the topic hierarchy, in which the keyword network is constructed to represent topics and their relations, and then decomposed hierarchically into shells using the K-core decomposition method. Adjacent shells with similar morphology are...
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