جستجوی مقالات مرتبط با کلیدواژه "co-citation" در نشریات گروه "کتابداری و مدیریت اطلاعات"

The present study aimed to investigate the potential of citation-based indicators (Co-Citation, Bibliographic Coupling, Amsler, PageRank, HITS) to determine the relevance of articles. 

This is applied research with correlational approach. The population consisted of 26,262 articles in the PubMed Central open access subset of the CITREC, which had citation relationship with other articles based on all three traditional citation-based indicators (Co-Citation, Bibliographic coupling, Amsler). From among the citations in the research population, 30 were selected as basic ones, and the full-text of them were retrieved based on the mesh similarity. Then the similarities among the retrieved documents were extracted based on citation-based indicators. Each of the citation-based metrics was considered as independent variable and the mesh similarity as dependent variable. A MySQL database was created using WampServer simulation software and PHP My Admin. Then, using online demo of the CITREC test collection, an output was prepared.  By entering the output into the MySQL database which contains the research data set, the main structure of its tables was created. Finally, by studying all the required codes from the CITREC source code package, we attempted to enter the required codes by applying necessary changes. The results were entered in the created MySQL database. By writing a query in SQL language, the set citation network was completely extracted and stored in a Comma-separated values (CSV) file. Then, a program was written in Python that could open and process this large file and calculate PageRank and HITS numbers (authority and Hub).  

The results showed that all six measures studied had a significant and positive correlation with the relevance of articles. In other words, with increasing the values ​​of each measure, the degree of relevance of the articles also increased. The highest correlation with the relevance of the articles belonged to the Amsler measure, followed by the Bibliographic Coupling. After Amsler and Bibliographic Coupling, the highest correlation was observed in the HITS(Authority) variable, and the PageRank variable was in the fourth place; Finally, the lowest correlation with the relevance of the articles was related to the Co-Citation and the HITS (Hub). Therefore, among the known Citation- based measure studied here, Amsler, Bibliographic Coupling, HITS(Authority) and PageRank metrics, respectively, had more potential to determine the relevance of articles rather than others. 

Based on the findings, it can be concluded that the citation-based metrics studied are able to estimate the degree of relevance of articles. Therefore, they can be used in various information retrieval platforms, including search engines, citation- based databases, recommender systems, and even digital libraries to access articles, suggest similar articles, and rank retrieved results; Also, the Amsler measure as the less used in information retrieval systems than the two traditional Measure (Co- Citations and Bibliographic Coupling) needs to be considered more than ever. On the other hand, despite the fact that Co- Citations measure is used in some international information retrieval databases (such as Science Direct and CiteSeer) to retrieve relevant documents and suggest similar documents, it is less efficient than other metrics.

This study aims assessment interdisciplinary relations in nanotechnology, biotechnology, cognitive and information articles using co-citation technique.

This study in object aspect, is applied, in method aspect is descriptive and use co-citation technique. Bibliographic data of Iranian English articles published between 2001 and 2015, including 68,864 records in nano, bio, info and cognitive sciences fields indexed Scopus. A number of measures were used for the relationship between scientific fields, including: inclusion index, homogeneous index, maximum and minimum spanning tree, impacted and effected fields.

The highest scores in ‌ inclusion index belong to information technology in "info - bio" compound and biotechnology lowest rating in "cog - bio" compound. The highest numbers of author cited belong to the combined areas of "Nano - Info - bio" and the least number belong to "cog - nano - info" compound. Information technology affected by other areas and nanotechnology impact on other areas.

Bio-nanotechnology fields have the potential greatly to the benefit of the co-authors to cite their articles. Cited authors patterns in the information technology articles is most similar to the bio-technology articles. Nanotechnology, biotechnology and cognitive articles have many cited authors that can use in information technology articles for citing. Nanotechnology articles have many cited authors that the other fields can use them for citing. In compound tertiary "nano - info - bio" be seen more coordination and interdisciplinary according to the cited authors and there is greater potential to utilize the authors to citing in their papers.

This study is a scientometric analysis of scientific products of the Islamic civilization.

This is an applied research and done by scientometric approach. The statistical population of the study includes 337 indexed scientific outputs in the field of the Islamic civilization in the Web of Science database during 1986-2018. The data gathering tool is a checklist and information analysis tools are HisCite, VOSviewer, and Excel softwares.

The findings showed that the process of scientific outputs publishing was ascending with a slight fluctuation in different years, and most of the subjects of the scientific outputs are respectively in the areas of political science, religion, and sociology. Morever, the United States, Turkey, England and Malaysia, as well as Barilan, Colombia and Ankara universities, and the Journal of Peace Research had the largest publication and citation of scientific outputs. In addition, findings showed that Jonathan Fox had the most article publication among the authors, but the citation collaboration of the authors from countries and organizations is generally lower, and the co-occurrences network of keywords was also more dispersed and the keywords of Islam and Islamic civilization have the most cooccurrences.

The results showed that local citations to scientific outputs are much lower than global citations, and scientific collaboration among countries, organizations, and authors is also lower. Therefore, Islamic civilization policy-makers in different countries, especially Muslim countries, should strengthen and improve scientific cooperation locally and internationally and create the necessary incentives to increase scientific collaboration among authors, countries and organizations.