کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10358392 | 868254 | 2014 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Optimizing SCImago Journal & Country Rank classification by community detection
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
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چکیده انگلیسی
Despite the fact that both algorithms exhibited slight differences in performance, the results show a similar behaviour in grouping journals. Consequently, they are deemed to be appropriate solutions for classification purposes. The two newly generated algorithm-based classifications were compared to other bibliometric classification systems, including the original SJR and WoS Subject Categories, in order to validate their consistency, adequacy and accuracy. In addition to some noteworthy differences, we found a certain coherence and homogeneity among the four classification systems analysed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Informetrics - Volume 8, Issue 2, April 2014, Pages 369-383
Journal: Journal of Informetrics - Volume 8, Issue 2, April 2014, Pages 369-383
نویسندگان
Antonio J. Gómez-Núñez, Vladimir Batagelj, BenjamÃn Vargas-Quesada, Félix Moya-Anegón, Zaida Chinchilla-RodrÃguez,