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

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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
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rft.atitle Proposed Direct and Indirect Citation Weighting Methods Based on Citation Context Similarity
rft.genre article
rft.date 2020-03-10
x.date 2020-03-10T01:11:37Z
abstract 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.
authors Array ( [rft.au] => Toluwase Asubiaro )
doi 10.31229/OSF.IO/JBWUD
languages eng
url http://dx.doi.org/10.31229/OSF.IO/JBWUD
http://osf.io/jbwud/
x.subjects LIS Scholarship Archive
direct citation weighting
citation analysis
direct citation
Library and Information Science
bepress
citation context analysis
indirect citation
citation count
Social and Behavioral Sciences
indirect citation weighting
Scholarly Communication
citation weighting
citation context similarity
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author Toluwase Asubiaro
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description 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.
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spelling Toluwase Asubiaro LIS Scholarship Archive direct citation weighting citation analysis direct citation Library and Information Science bepress citation context analysis indirect citation citation count Social and Behavioral Sciences indirect citation weighting Scholarly Communication citation weighting citation context similarity http://dx.doi.org/10.31229/OSF.IO/JBWUD http://osf.io/jbwud/ 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. Proposed Direct and Indirect Citation Weighting Methods Based on Citation Context Similarity
spellingShingle Toluwase Asubiaro, Proposed Direct and Indirect Citation Weighting Methods Based on Citation Context Similarity, LIS Scholarship Archive, direct citation weighting, citation analysis, direct citation, Library and Information Science, bepress, citation context analysis, indirect citation, citation count, Social and Behavioral Sciences, indirect citation weighting, Scholarly Communication, citation weighting, citation context similarity
title Proposed Direct and Indirect Citation Weighting Methods Based on Citation Context Similarity
title_full Proposed Direct and Indirect Citation Weighting Methods Based on Citation Context Similarity
title_fullStr Proposed Direct and Indirect Citation Weighting Methods Based on Citation Context Similarity
title_full_unstemmed Proposed Direct and Indirect Citation Weighting Methods Based on Citation Context Similarity
title_short Proposed Direct and Indirect Citation Weighting Methods Based on Citation Context Similarity
title_sort proposed direct and indirect citation weighting methods based on citation context similarity
topic LIS Scholarship Archive, direct citation weighting, citation analysis, direct citation, Library and Information Science, bepress, citation context analysis, indirect citation, citation count, Social and Behavioral Sciences, indirect citation weighting, Scholarly Communication, citation weighting, citation context similarity
url http://dx.doi.org/10.31229/OSF.IO/JBWUD, http://osf.io/jbwud/