Proposed Direct and Indirect Citation Weighting Methods Based on Citation Context Similarity
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- Titel
- Proposed Direct and Indirect Citation Weighting Methods Based on Citation Context Similarity
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- Erscheinungsjahr
- 2020
- Medientyp
- Preprint
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| author_facet |
Toluwase Asubiaro Toluwase Asubiaro |
|---|---|
| author |
Toluwase Asubiaro |
| spellingShingle |
Toluwase Asubiaro Proposed Direct and Indirect Citation Weighting Methods Based on Citation Context Similarity citation count Social and Behavioral Sciences LIS Scholarship Archive citation context analysis direct citation weighting citation context similarity direct citation indirect citation weighting citation weighting bepress indirect citation citation analysis Scholarly Communication Library and Information Science |
| author_sort |
toluwase asubiaro |
| spelling |
Toluwase Asubiaro citation count Social and Behavioral Sciences LIS Scholarship Archive citation context analysis direct citation weighting citation context similarity direct citation indirect citation weighting citation weighting bepress indirect citation citation analysis Scholarly Communication Library and Information Science 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 |
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10.31229/OSF.IO/JBWUD |
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ai |
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179 |
| title |
Proposed Direct and Indirect Citation Weighting Methods Based on Citation Context Similarity |
| title_unstemmed |
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 |
citation count Social and Behavioral Sciences LIS Scholarship Archive citation context analysis direct citation weighting citation context similarity direct citation indirect citation weighting citation weighting bepress indirect citation citation analysis Scholarly Communication Library and Information Science |
| url |
http://dx.doi.org/10.31229/OSF.IO/JBWUD http://osf.io/jbwud/ |
| publishDate |
2020 |
| physical |
|
| 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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| author | Toluwase Asubiaro |
| author_facet | Toluwase Asubiaro, Toluwase Asubiaro |
| author_sort | toluwase asubiaro |
| collection | sid-179-col-lissa |
| 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. |
| doi_str_mv | 10.31229/OSF.IO/JBWUD |
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| format | Preprint |
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| id | ai-179-E0105-5E3-067 |
| imprint | 2020 |
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| last_indexed | 2024-03-01T22:50:22.999Z |
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| spelling | Toluwase Asubiaro citation count Social and Behavioral Sciences LIS Scholarship Archive citation context analysis direct citation weighting citation context similarity direct citation indirect citation weighting citation weighting bepress indirect citation citation analysis Scholarly Communication Library and Information Science 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, citation count, Social and Behavioral Sciences, LIS Scholarship Archive, citation context analysis, direct citation weighting, citation context similarity, direct citation, indirect citation weighting, citation weighting, bepress, indirect citation, citation analysis, Scholarly Communication, Library and Information Science |
| 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 |
| title_unstemmed | Proposed Direct and Indirect Citation Weighting Methods Based on Citation Context Similarity |
| topic | citation count, Social and Behavioral Sciences, LIS Scholarship Archive, citation context analysis, direct citation weighting, citation context similarity, direct citation, indirect citation weighting, citation weighting, bepress, indirect citation, citation analysis, Scholarly Communication, Library and Information Science |
| url | http://dx.doi.org/10.31229/OSF.IO/JBWUD, http://osf.io/jbwud/ |