Coronavirus: Discover the Structure of Global Knowledge, Hidden Patterns & Emerging Events
سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 280
فایل این مقاله در 12 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_ZUMS-28-130_004
تاریخ نمایه سازی: 11 اردیبهشت 1400
چکیده مقاله:
Background & Objective: The present study aimed at exploring the structure of global knowledge, hidden patterns, and emerging Coronavirus events using co-word techniques. Co-word analysis is one of the most efficient scientific methods to analyze the structure and dynamics of knowledge and the general state of research.
Materials & Methods: This applied research performed using Co-word analysis. The statistical population is ۴۱۰۲ keywords from Web of Science Core Collection indexed documents on Coronavirus retrieved through advanced search (۱۹۷۰-۲۰۱۹). To identify the keywords used to design a search strategy, the Medical Subject Heading browser was utilized. After the keyword editing process, the threshold identified, and UCINET, VOSviewe, and SPSS ۱۶ were used to analyze the data.
Results: The highest frequent keyword was "Severe Acute Respiratory Syndrome (SARS)" with a frequency of ۲۷۶. Nineteen subject clusters were the result of a hierarchical clustering analysis by the Wardschr('۳۹') method. Clusters ۴ and ۱۵ were the biggest ones with nine keywords. Strategic diagram analysis showed that the most prominent Coronavirus clusterschr('۳۹') most prominent clusters are in Quadrant III of the strategic diagram.
Conclusion: The results showed that Coronavirus researchchr('۳۹')s intellectual structure in the form of ۱۹-topic thematic clusters and determining the degree of cluster cohesion makes it possible to discover complex conceptual relationships of valid international Coronavirus research. The results of this paper could also be used to guide medical researchers, especially coronavirus scientists. Medical policymakers can also more effectively present strategic plans by becoming aware of the global knowledge structure, hidden patterns, and emerging international coronavirus events.
کلیدواژه ها:
نویسندگان
Farshid Danesh
Information Management Research Department, Regional Information Center for Science and Technology (RICeST), Shiraz, Iran
Somayeh GhaviDel
Department of Knowledge and Information Science, Kharazmi University, Tehran, Iran
Vahhab Piranfar
Research and Development Department, Farname Inc, Thornhill, Canada
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :