کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
571797 1439293 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Cannibalism in medical topic networks
ترجمه فارسی عنوان
آدم خواری در شبکه موضوع پزشکی
کلمات کلیدی
فعالیت نشر پژوهش؛ تکامل شبکه؛ استخراج کلمات کلیدی؛ ساختار دانش؛ دامنه پزشکی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

Analyzing research activities over time can give insight into the research trend and knowledge structure of a domain. Research publication activity of a topic can be measured by a network of keyword terms and their relations in the specific area. The paper analyzes medical topic networks to interpret how clusters and keyword terms change over time. Keywords are extracted from 9730,671 research publications of twenty medical topics over 40 years. Experiments show there is cannibalism which occurs when one cluster is consumed into other clusters of medical topic networks in 50% of the medical topics analyzed. The decrease of modularity values of cannibalism topics shows that research topics collaborate actively and that multidisciplinary fields have emerged over time.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 108, 15 September 2016, Pages 168–178
نویسندگان
, , ,