کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
523243 868283 2013 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Quantifying the interdisciplinarity of scientific journals and fields
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Quantifying the interdisciplinarity of scientific journals and fields
چکیده انگلیسی

There is an overall perception of increased interdisciplinarity in science, but this is difficult to confirm quantitatively owing to the lack of adequate methods to evaluate subjective phenomena. This is no different from the difficulties in establishing quantitative relationships in human and social sciences. In this paper we quantified the interdisciplinarity of scientific journals and science fields by using an entropy measurement based on the diversity of the subject categories of journals citing a specific journal. The methodology consisted in building citation networks using the Journal Citation Reports® database, in which the nodes were journals and edges were established based on citations among journals. The overall network for the 11-year period (1999–2009) studied was small-world and followed a power-law with exponential cutoff distribution with regard to the in-strength. Upon visualizing the network topology an overall structure of the various science fields could be inferred, especially their interconnections. We confirmed quantitatively that science fields are becoming increasingly interdisciplinary, with the degree of interdisplinarity (i.e. entropy) correlating strongly with the in-strength of journals and with the impact factor.

Figure optionsDownload as PowerPoint slideHighlights
► The use of temporal journal citation networks provides very good insights about the evolution of scientific fields.
► The introduced entropy-based measurement of interdisciplinarity correlates well with impact factor and citation count.
► It also confirms quantitatively that science is becoming more interdisciplinary.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Informetrics - Volume 7, Issue 2, April 2013, Pages 469–477
نویسندگان
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