کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1859478 1530556 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The role of research efficiency in the evolution of scientific productivity and impact: An agent-based model
ترجمه فارسی عنوان
نقش کارآیی تحقیق در تکامل بهره وری علمی و تاثیر: یک مدل مبتنی بر عامل
کلمات کلیدی
مدل مبتنی بر عامل، کارایی تحقیق، رقابت های علمی بهره وری و تاثیر، شبکه های پیچیده
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم فیزیک و نجوم (عمومی)
چکیده انگلیسی


• We study the role of production efficiency (PE) and research topic selectivity in the evolution of performance in academia.
• In our model, agents compete to publish and become cited by occupying the nodes of an artificial citation network.
• Our agent-based model is calibrated by using datasets from the APS journals and the arxiv.org online preprint repository.
• Individual performance is strongly affected by PE, whereas topic selectivity cannot significantly enhance academic success.
• With even minimal reductions of research efficiency gaps, fairly profound boosts of scientific careers can be achieved.

We introduce an agent-based model to investigate the effects of production efficiency (PE) and hot field tracing capability (HFTC) on productivity and impact of scientists embedded in a competitive research environment. Agents compete to publish and become cited by occupying the nodes of a citation network calibrated by real-world citation datasets. Our Monte-Carlo simulations reveal that differences in individual performance are strongly related to PE, whereas HFTC alone cannot provide sustainable academic careers under intensely competitive conditions. Remarkably, the negative effect of high competition levels on productivity can be buffered by elevated research efficiency if simultaneously HFTC is sufficiently low.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physics Letters A - Volume 380, Issues 7–8, 22 February 2016, Pages 828–836
نویسندگان
, , ,