| تعداد نشریات | 63 |
| تعداد شمارهها | 2,259 |
| تعداد مقالات | 18,615 |
| تعداد مشاهده مقاله | 57,668,776 |
| تعداد دریافت فایل اصل مقاله | 29,522,530 |
Thematic Clusters of the Intellectual Structure in the Field of Digital Content Management | ||
| International Journal of Digital Content Management | ||
| مقاله 11، دوره 2، شماره 2، فروردین 2021، صفحه 185-203 اصل مقاله (1.64 M) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22054/dcm.2021.13071 | ||
| نویسندگان | ||
| Elaheh Hosseini1؛ Kimiya Taghizadeh Milani2؛ Mohammad Shaker Sabetnasab* 3 | ||
| 1Ph.D. Department of Information Science, Alzahra University, Tehran, Iran | ||
| 2Ph.D. Candidate, Department of Information Science, Alzahra University, Tehran, Iran | ||
| 3M.Sc. In Medical Library and Information Sciences. Tehran, Iran | ||
| چکیده | ||
| Purpose: The research aims to visualize and analyze co-word network, and thematic clusters of the intellectual structure in the field of digital content management during 2010-2020. Method: The study is applied research with a descriptive approach which is conducted by techniques of co-word, and social network analysis. Data analysis and visualization of the co-word network were represented by SPSS, UCINet, and Python programming language. Findings: 8 main clusters are identified. The cluster multimedia content management & retrieval is the most mature and central thematic cluster. The USA and various sub-categories of Computer Science are located in the top ranks of WOS in the field. Most productions were published in 2020. Generally, the Clusters were labeled in two contexts of health and LAM (Libraries, Archives, Museums, and cultural heritage). Conclusion: Content-based management and retrieval are focused on artificial intelligence, decision-supported, knowledge-based and ontological techniques which are conducted as novel approaches and underlying trends in the field. | ||
| کلیدواژهها | ||
| Digital content management؛ Co-word analysis؛ Hierarchical Clustering؛ Thematic clusters؛ Intellectual Structure؛ Strategic Diagram | ||
| مراجع | ||
|
Ahmadi, H. and Osareh, F. (2016), Co-word Analysis Concept, Definition and Application, National Studies on Librarianship and Information Organization (NASTINFO), 28(1), 125-145. (Persian).
Ding, Y., Chowdhury, G. G. and Foo, S. (2001), Bibliometric cartography of information retrieval research by using co-word analysis, Information Processing and Management, 37(6), 817–842.
Hu, C.P., Hu, J.M., Deng, S.L. and Liu, Y. (2013), a co-word analysis of library and information science in China, Scientometrics, 97(2), 369-382.
Islam, M. A. and Ikeda, M. (2014), Convergence issues of knowledge management in digital libraries, VINE, 44(1), 140–159.
Khademi, R. and Heidari, Gh. (2017), Mapping the intellectual structure of information management using co-words during 1986 to 2012, Sciences and Techniques of Information Management, 2(2), 71-111. (Persian).
Khasseh, A. A., Soheili, F., Moghaddam, H. S. and Chelak, A. M. (2017), Intellectual structure of knowledge in iMetrics: A co-word analysis, Information Processing & Management, 53(3), 705-720.
Lee, P.C. and Su, H.N. (2010), Investigating the structure of regional innovation system research Information Science, Innovation Organization & Management, 19(1), 71-85.
Liu, G.Y., Hu, J.M. and Wang, H.L. (2012), a co-word analysis of digital library field in China, Scientometrics, 91(1), 203-217.
Makkizadeh, F, Hazeri, A., Hosininasab, S. and Soheili F. (2016), Thematic analysis and scientific mapping of papers related to depression therapy in PubMed, Journal of Health Administration, 19(65), 51-63. (Persian).
Murugan, M. A. (2015), Content management system in electrnic environment. Knowledge Librarian, 2(2), 212-222.
Noyons, E. and van Raan, A. (1998), Monitoring scientific developments from a dynamic perspective: Self-organized structuring to map neural network research, Journal of the American Society for Information Science, 49(1), 68-81.
Osareh, F., Soheili, F. and Mansouri, A. (2016), Scientometrics and Information Visualization, Isfahan University publishing, Isfahan. (Persian).
Pani F., Porru S. and Ibba S. (2015), a Model for Digital Content Management, 4th International Conference on Data Management Technologies and Applications, 240-247.
Salemi, N. and Koosha, K. (2014), Co-citation analysis and co-word analysis in bibliometrics mapping: A methodological evaluation, Iranian Journal of Information Processing and Management. 29(1), 253-266. (Persian).
Sedighi, M. and Jalalimanesh, A. (2014), Mapping research trends in the field of knowledge management, Malaysian Journal of Library and Information Science, 19(1), 71-85.
Soheili, F., Sha'bani, A. and Khasseh A. (2016), Intellectual structure of knowledge in information behavior: A co-word analysis, Human Information Interaction, 2(4), 21-36. (Persian).
Wang, L. Y., Zhang, Z. Q. and Wei, J. Z. (2011), A study on foreign research subjects of library and information science based on the co-word analysis during the last ten years, Journal of intelligence (in China), 30(3), 50–58.
Whittaker, J. (1989), Creativity and conformity in science: Titles, keywords and co-word analysis, Social Studies of Science, 19(3), 473-496. | ||
|
آمار تعداد مشاهده مقاله: 673 تعداد دریافت فایل اصل مقاله: 652 |
||