بررسی تاثیر رتبه نویسندگان در شبکه‌های کتابشناختی بر عملکرد مدل سند-محور بازیابی تخصص

نویسندگان
هاشم عطاپور 1
فاطمه فهیم نیا 2
1 دانشگاه تبریز
2 دانشگاه تهران
چکیده
هدف و زمینه: این پژوهش به بررسی تاثیر رتبه نویسندگان در شبکه‌های کتابشناختی بر مدل سند-محور بازیابی تخصص می‌پردازد. هدف آن پی بردن به این نکته است که کدام یک از شبکه‌های کتابشناختی نویسندگان می‌تواند عملکرد مدل سند-محور بازیابی تخصص را بهبود ببخشد.

روش‌شناسی: روش پژوهش تجربی مقدماتی است. برای انجام پژوهش، مجموعه آزمونی متشکل از 55 پرس‌وجو و 96375 سند ایجاد شد: پرس‌وجوهایی که توسط دانشجویان و فارغ‌التحصیلان دکتری علم اطلاعات و دانش‌شناسی ایران ساخته شد و اسنادی که از مقالات نمایه‌شده علم اطلاعات و دانش‌شناسی در پایگاه وب آو ساینس تشکیل شده بود. پرس‌وجوها به پیکره آزمون عرضه، و مدل بازیابی DLH13 برای بازیابی اسناد به کار گرفته شد. 100 سند اول بازیابی‌شده برای هر پرس‌وجو انتخاب شد. سپس اسامی افراد موجود در آنها استخراج و پردازش، و بر اساس 5 شاخص مورد استفاده در تحلیل شبکه‌های اجتماعی رتبه‌بندی گردید. 10 نتیجه اول هر روش انتخاب و در انبوهه نویسندگان پرس‌وجوی مربوطه قرار گرفت. افراد موجود در سیاهه مورد قضاوت ربط قرار گرفتند تا مقایسه عملکرد رتبه‌بندی‌‌های افراد از حیث یافتن خبرگان میسر شود.

یافته‌ها: یافته‌ها نشان داد عملکرد مدل‌های مبتنی بر رتبه‌بندی نویسندگان در شبکه‌های استنادی تفاوت معناداری با مدل سند-محور بازیابی تخصص ندارند، اما عملکرد مدل مبتنی بر رتبه‌بندی نویسندگان در شبکه هم‌تألیفی ضعیف‌تر از مدل سند-محور بازیابی تخصص بوده و آن را کاهش می‌دهد.

نتیجه‌گیری: در مقایسه با شبکه‌های پدیدآوری، موقعیت افراد در شبکه‌های استنادی شاهد بهتری برای تخصص افراد در حوزه‌های موضوعی مختلف به شمار می‌رود.
کلیدواژه‌ها
ارزیابی
بازیابی اطلاعات
خبره‌یابی
شبکه استنادی
شبکه هم‌استنادی
شبکه هم‌تألیفی
مجموعه‌آزمون‌ها

عنوان مقاله English

Investigating the Impact of Authors’ Rank in Bibliographic Networks on Expertise Retrieval

نویسندگان English

Hashem Atapour 1
Fatima Fahimnia 2
چکیده English

Background and Aim: this research investigates the impact of authors’ rank in Bibliographic networks on document-centered model of Expertise Retrieval. Its purpose is to find out what kind of authors’ ranking in bibliographic networks can improve the performance of document-centered model.

Methodology: Current research is an experimental one. To operationalize research goals, a new test collection was developed which includes 55 queries and 96375 documents. The queries were made by Iran Knowledge and Information Science PhD students, and the documents were papers indexed in the Web of Science database under Library Science and Information Science category. The queries were submitted to the database consisting of test collection documents, and then DLH13, a known IR model, were used to retrieve documents from database. The first 100 documents retrieved by DLH13 model for each query were chosen for second stage. All people names occurred in the retrieved documents were extracted, processed, and ranked in 5 different ways based on micro metrics of Social Network Analysis. The top 10 results of every method accumulated in a pool of authors. After relevance judgment on authors’ expertise, the expert finding performance of every ranking method was measured.

Findings: Results showed that performance of authors’ ranking in citation networks hadn’t significant difference with document-centered model, whereas authors’ ranking in co-authorship networks was weaker than document-centered model, and impact it negatively.

Conclusion: compared with author-based networks, citation-based networks are better evidence for individual’s expertise in different subject areas.

کلیدواژه‌ها English

citation network
co-citation network
co-authorship network
Evaluation
expert finding
test collection
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تعامل انسان و اطلاعات
دوره 5، شماره 1
بهار 1397
صفحه 71-82