Tracing best semantic path using co-citation proximity analysis
DOI:
https://doi.org/10.5195/biblios.2019.349Keywords:
Citation mining, Co-citation mining, Power graph, Research progress – Language models, Semantic analysisAbstract
Objective. The objective of this work is to find the best semantic path of research papers that matches the given research publication. This paper elaborates on the finding of continuous research progress analysis from semantic perspective.
Methodology. Previous work reported the work progress analysis and the integrated as well as optimized approaches to find the progressive research citations which had carried forward the essence of the base reference paper. In this work, we propose to identify the most useful research papers which are semantically closer to the research context, and lie in the citation path of the base paper.
Result. Our data set is generated for the popular paper of Hirsch published in 2005, in which, h-index is proposed. The paper has 5299 direct citations till date and the results of the proposed approach indicate very promising findings in view of measuring scientific research progress.
Conclusion. The inference reveals a couple of research papers connected as a path among the citation thread, which have significantly progressed the idea of base research paper into a more elaborate yet related context of research..
References
Balaji A, S. Sendhilkumar, & G.S. Mahalakshmi (2016), Progressive Path Analysis using Optimized Discrete and Continuous Average Semantic Filters, Aust. J. Basic & Appl. Sci. (Vol.10(2) pp.224-233).
Batagelj, V. (2003). Efficient algorithms for citation network analysis. University of Ljubljana, Institute of Mathematics, hysics and Mechanics Department of Theoretical Computer Science, Preprint Series (Vol. 41, p. 897). doi: https://doi.org/arXiv:cs/0309023.
Calero-Medina, C., & Noyons, E. (2008). Combining mapping and citation network analysis for a better understanding of the scientific development: The case of the absorptive capacity field. Journal of Informetrics, (Vol. 2(4), pp. 272-279). doi: https://doi.org/10.1016/j.joi.2008.09.005.
Carley, K. M., Hummon, N. P., & Harty, M. (1993). Scientific Influence An Analysis of the Main Path Structure in the Journal of Conflict Resolution, Science Communication (Vol. 14(4), pp. 417-447). doi: https://doi.org/10.1177/107554709301400406.
Gipp, B., & Beel, J. (2009). Identifying related documents for research paper recommender by CPA and COA. In International Conference on Education and Information Technology (ICEIT’09), Lecture Notes in Engineering and Computer Science (Vol. 1, pp. 636-639).
Gipps, Bela, & Jöran Beel (2009). Citation Proximity Analysis (CPA)-A new approach for identifying related work based on Co-Citation Analysis. Proceedings of the 12th International Conference on Scientometrics and Informetrics (ISSI’09). ( Vol. 2). Rio de Janeiro (Brazil): International Society for Scientometrics and Informetrics.
Harris, J. K., Luke, D. A., Zuckerman, R. B., & Shelton, S. C. (2009). Forty years of secondhand smoke research: the gap between discovery and delivery. American journal of preventive medicine (Vol. 36(6), pp. 538-548). doi: https://doi.org/10.1016/j.amepre.2009.01.039.
Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National academy of Sciences of the United States of America (Vol. 102(46), pp. 16569-16572). doi: https://doi.org/10.1073/pnas.0507655102.
Hummon, N.P., & Carley, K. (1993). Social networks as normal science Social Networks (Vol. 15(1) pp.71–106). doi: https://doi.org/10.1016/0378-8733(93)90022-D.
Hummon, N.P., & Doreian, P. (1989). Connectivity in a citation network: The development of DNA theory. Social Networks (Vol. 11(1), pp. 39–63). doi: https://doi.org/10.1016/0378-8733(89)90017-8.
Hummon, N.P., Doreian, P.,&Freeman, L.C. (1990).Analyzing the structure of the centrality–productivity literature created between 1948 and 1979.Science Communication (Vol. 11(4), pp.459–480). doi: https://doi.org/10.1177/107554709001100405.
Lu, L. Y. Y., Lan, Y. L., & Liu, J. S. (2012, June). A novel approach for exploring technological development trajectories. In Management of Innovation and Technology (ICMIT), 2012 IEEE International Conference on (pp. 504-509). IEEE. doi: https://doi.org/10.1109/ICMIT.2012.6225857.
Lucio‐Arias, D., & Leydesdorff, L. (2008). Main‐path analysis and path‐dependent transitions in HistCite™‐based historiograms. Journal of the American Society for Information Science and Technology (Vol. 59(12), pp.1948-1962). doi: https://doi.org/10.1002/asi.20903.
Mahalakshmi G. S. & Sendhilkumar S. (2013) Optimizing Research Progress Trajectories with Semantic Power Graphs, Chapter in Pattern Recognition and Machine Intelligence, Volume 8251 of the series Lecture Notes in Computer Science (pp 708-713).
Mina, A., Ramlogan, R., Tampubolon, G., & Metcalfe, J. S. (2007). Mapping evolutionary trajectories: Applications to the growth and transformation of medical knowledge. Research policy (Vol. 36(5), pp.789-806). doi: https://doi.org/10.1016/j.respol.2006.12.007.
Moore, S., Haines, V., Hawe, P., & Shiell, A. (2006). Lost in translation: a genealogy of the “social capital” concept in public health. Journal of epidemiology and community health (Vol. 60(8), pp.729-734). doi: https://doi.org/10.1136/jech.2005.041848.
Verspagen, B. (2007). Mapping technological trajectories as patent citation networks: A study on the history of fuel cell research. Advances in Complex Systems (Vol. 10(01), pp.93-115). doi: https://doi.org/10.1142/S0219525907000945.
Downloads
Published
How to Cite
Issue
Section
License
Authors who publish with this journal agree to the following terms:
- The Author retains copyright in the Work, where the term “Work” shall include all digital objects that may result in subsequent electronic publication or distribution.
- Upon acceptance of the Work, the author shall grant to the Publisher the right of first publication of the Work.
- The Author shall grant to the Publisher and its agents the nonexclusive perpetual right and license to publish, archive, and make accessible the Work in whole or in part in all forms of media now or hereafter known under a Creative Commons Attribution 4.0 International License or its equivalent, which, for the avoidance of doubt, allows others to copy, distribute, and transmit the Work under the following conditions:
- Attribution—other users must attribute the Work in the manner specified by the author as indicated on the journal Web site;
- The Author is able to enter into separate, additional contractual arrangements for the nonexclusive distribution of the journal's published version of the Work (e.g., post it to an institutional repository or publish it in a book), as long as there is provided in the document an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post online a prepublication manuscript (but not the Publisher’s final formatted PDF version of the Work) in institutional repositories or on their Websites prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work. Any such posting made before acceptance and publication of the Work shall be updated upon publication to include a reference to the Publisher-assigned DOI (Digital Object Identifier) and a link to the online abstract for the final published Work in the Journal.
- Upon Publisher’s request, the Author agrees to furnish promptly to Publisher, at the Author’s own expense, written evidence of the permissions, licenses, and consents for use of third-party material included within the Work, except as determined by Publisher to be covered by the principles of Fair Use.
- The Author represents and warrants that:
- the Work is the Author’s original work;
- the Author has not transferred, and will not transfer, exclusive rights in the Work to any third party;
- the Work is not pending review or under consideration by another publisher;
- the Work has not previously been published;
- the Work contains no misrepresentation or infringement of the Work or property of other authors or third parties; and
- the Work contains no libel, invasion of privacy, or other unlawful matter.
- The Author agrees to indemnify and hold Publisher harmless from Author’s breach of the representations and warranties contained in Paragraph 6 above, as well as any claim or proceeding relating to Publisher’s use and publication of any content contained in the Work, including third-party content.
Revised 7/16/2018. Revision Description: Removed outdated link.