تحلیل روند پژوهش‌های جهان در حوزه فناوری اطلاعات با استفاده از روش‌ مدل‌سازی موضوعی

ساجدی نژاد, آرمان; ربیعی, محمد

doi:10.22055/slis.2023.38914.1862

نوع مقاله : علمی پژوهشی

نویسندگان

استادیار، پژوهشگاه علوم و فناوری اطلاعات ایران (ایرانداک)

https://doi.org/10.22055/slis.2023.38914.1862

چکیده

هدف: پژوهش حاضر با هدف شناسایی و تحلیل پژوهش‌های حوزه فناوری اطلاعات، استخراج موضوعات آن و ارائه اطلاعات علم‌سنجی مربوط به این موضوعات انجام شده است.
روش‌شناسی: در این مقاله، موضوعات حوزه‌ی فناوری اطلاعات استخراج و ارتباطات بین واژگان پرکاربرد و تکامل زمانی آن‌ها تجزیه و تحلیل و در نهایت دسته‌بندی شده است. برای این منظور از مدل‌سازی موضوعی که روشی شناخته شده برای خوشه‌بندی اطلاعات متنی است استفاده شد.
یافته‌ها: روندهای ده‌ساله تغییرات کلیدواژه‌ها در مجموعه مطالعات، استخراج شد و پس از خوشه‌بندی مقالات، کلیدواژه‌های مهم هر خوشه استخراج شد. مقالات استخراج شده در حوزه فناوری اطلاعات به ۸ دسته موضوعی تقسیم شدند که از موضوعات سخت‌افزار، ارتباطات و شبکه تا موضوعات کاربردهای هوشمند مانند اینترنت اشیا را شامل می‌شد. مشخص شد که کلیدواژه‌های پرکاربرد در این منابع همواره در گذر زمان در حال تغییر بوده است.
نتیجه‌گیری: در زمینه فناوری اطلاعات موضوعات در حال ترکیب و در بین دسته‌های مختلف فناوری اطلاعات در حال تغییر است. باتوجه به تغییر سمت و سو پژوهش‌های این حوزه از سخت‌افزار و ارتباطات به سمت کاربردها و تحلیل، به نظر می‌رسد زمینه‌های علمی آتی شامل کاربردهای روزمره و ایجادکننده ارزش‌افزوده با توجه به تحلیل داده و ارتباطات بین انسان و ماشین شکل خواهند گرفت و کاربردهای فناوری اطلاعات در علوم دیگر نمایان‌تر شده است. همچنین تمرکز بر پژوهش‌هایی که کمتر جنبه توسعه‌ای داشته و بیشتر کاربردی هستند و یا ارزش افزوده بیشتری برروی زیرساخت‌های موجود ایجاد نموده‌اند در این تغییرات مشهود است.

کلیدواژه‌ها

موضوعات

علم سنجی

عنوان مقاله [English]

Analysis of information technology research trends using topic modeling

نویسندگان [English]

Arman Sajedinejad
Mohammad Rabiei

Assistant Professor, Iranian Research Institute for Information Science and Technology (IRANDOC)

چکیده [English]

Background and Objectives: IT's rapid progress and far-reaching impact on other scientific disciplines have not only necessitated significant changes in its own subjects but have also catalyzed extensive changes in the form, amount, and methodology of research in other fields. The objective of the present investigation was to analyze research conducted in the realm of information technology, extract its central themes, and furnish scientometric data pertaining to these themes.
Methodology: This paper explores the topics of the information technology field by extracting and categorizing the relationships between commonly used terms and their temporal evolution. To achieve this, the researchers employed topic modeling, a well-established method for clustering textual data. Topic modeling algorithms utilize statistical methods to analyze and interpret the primary words in documents, allowing for the examination of the presented issues and their interconnections and changes over time. Considering the rapid changes in the field of information technology, this paper drew upon materials spanning the last decade, including 10,000 papers sourced from top-tier journals featured in the Web of Science database.
Findings: The study extracted trends in keyword changes over the past decade and identified important keywords for each paper cluster after grouping them. The papers within the information technology domain were then categorized into eight themes, including hardware, communications, networks, and intelligent applications such as the Internet of Things. The study found that frequently used keywords have been continuously changing over time. The paper highlights that emerging keywords, including the Internet of Things, cloud computing, and Big Data, along with work areas such as Machine Learning and Deep Learning, are shaping the definition of information technology fields in the new era.
Discussion: Given the shift in research emphasis from hardware and communication to analysis and practical applications, it is likely that future scientific fields will focus on creating value through data analysis and human-machine communication in everyday applications, and information technology's relevance in other sciences will become more apparent. Future research can also concentrate on comparing global trends in information technology with domestic research, enabling the evaluation of the gap between the country's research and that of the world.

کلیدواژه‌ها [English]

Information technology
Topic modeling
text analysis
scientometrics

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مطالعات کتابداری و علم اطلاعات

تحلیل روند پژوهش‌های جهان در حوزه فناوری اطلاعات با استفاده از روش‌ مدل‌سازی موضوعی

مراجع

مراجع

دوره 16، شماره 2
تیر 1403
صفحه 1-20

تحلیل روند پژوهش‌های جهان در حوزه فناوری اطلاعات با استفاده از روش‌ مدل‌سازی موضوعی

مراجع

مراجع

دوره 16، شماره 2تیر 1403صفحه 1-20

دوره 16، شماره 2
تیر 1403
صفحه 1-20