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Hosseini, Elaheh, Taghizadeh Milani, Kimiya, Shaker Sabetnasab, Mohammad. (1399). Thematic Clusters of the Intellectual Structure in the Field of Digital Content Management. سامانه مدیریت نشریات علمی, 2(2), 185-203. doi: 10.22054/dcm.2021.13071
Elaheh Hosseini; Kimiya Taghizadeh Milani; Mohammad Shaker Sabetnasab. "Thematic Clusters of the Intellectual Structure in the Field of Digital Content Management". سامانه مدیریت نشریات علمی, 2, 2, 1399, 185-203. doi: 10.22054/dcm.2021.13071
Hosseini, Elaheh, Taghizadeh Milani, Kimiya, Shaker Sabetnasab, Mohammad. (1399). 'Thematic Clusters of the Intellectual Structure in the Field of Digital Content Management', سامانه مدیریت نشریات علمی, 2(2), pp. 185-203. doi: 10.22054/dcm.2021.13071
Hosseini, Elaheh, Taghizadeh Milani, Kimiya, Shaker Sabetnasab, Mohammad. Thematic Clusters of the Intellectual Structure in the Field of Digital Content Management. سامانه مدیریت نشریات علمی, 1399; 2(2): 185-203. doi: 10.22054/dcm.2021.13071

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
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