Proposed Direct and Indirect Citation Weighting Methods Based on Citation Context Similarity

Bibliographic Details

Title
Proposed Direct and Indirect Citation Weighting Methods Based on Citation Context Similarity
Authors and Corporations
Toluwase Asubiaro
Year of Publication
2020
Type of Resource
Preprint
Source
LISSA
sid-179-col-lissa
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Summary
Hypothetically, if paper B has cited paper A, and paper C has cited paper B, but paper C has not cited paper A; citation count can neither communicate the probable influence of paper A on C nor weigh the influence of A in B. In this case, paper A receives a direct citation from paper B, while it receives an indirect citation from paper C. This PhD thesis proposes methods for weighting direct and indirect citations which are based on the semantic cita-tion context similarity. The direct citation weighting is based on the unique-ness of in-text citation contexts, where unique in-text citation contexts attract more weights. The indirect citations are weighted based on the knowledge flow between papers A and C, that is, the semantic similarity between the ci-tation context of paper B in paper A and citation context of paper C in paper B where level of knowledge flow depends on the semantic similarity. Bio-medical publications will be used while semantic similarity is calculated based on cosine similarity which is implemented using the Fasttext-based bi-osentvec word embedding models. The proposed methods have the potential of being useful in determining the research impact of articles, authors and in-stitutions. They can also be useful in sorting of documents retrieved from in-formation retrieval systems.
Language
English
DOI
10.31229/OSF.IO/JBWUD