2016Advances in Social Networks Analysis and MiningRequires access

Knowledge flow of biomedical informatics domain: position-based co-citation analysis approach

Kuo‐Chung Chu, Chun-Cheng Yeh

Open publisher page 3 citations

Abstract

A traditional co-citation analysis may ignore the structure of articles. When reference was cited in different level, such as, chapter level, the contribution will be different. In this study, we define the strength of chapter level, different than the traditional co-citation analysis; this study investigated the situation of the citation by chapter level. We use the cosine similarity to measure the similarity between content based co-citation, cluster analysis to verify results and visualization tool to present.

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What this paper is about

A traditional co-citation analysis may ignore the structure of articles. When reference was cited in different level, such as, chapter level, the contribution will be different. In this study, we define the strength of chapter level, different than the traditional co-citation analysis; this study investigated the situation of the citation by chapter level. We use the cosine similarity to measure the similarity between content based co-citation, cluster analysis to verify results and visualization tool to present.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A traditional co-citation analysis may ignore the structure of articles. When reference was cited in different level, such as, chapter level, the contribution will be different. In this study, we define the strength of chapter level, different than the traditional co-citation analysis; this study investigated the situation of the citation by chapter level. We use the cosine similarity to measure the similarity between content based co-citation, cluster analysis to verify results and visualization tool to present.

Key concepts: Co-citation, Computer science, Citation, Cosine similarity, Citation analysis, Similarity (geometry), Information retrieval, Visualization

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