A Framework to Explore the Knowledge Structure of Multidisciplinary Research Fields

被引:28
作者
Uddin, Shahadat [1 ]
Khan, Arif [1 ]
Baur, Louise A. [2 ,3 ]
机构
[1] Univ Sydney, Complex Syst Res Grp, Project Management Program, Sydney, NSW 2006, Australia
[2] Univ Sydney, Discipline Paediat & Child Hlth, Sydney, NSW 2006, Australia
[3] Univ Sydney, Sydney Sch Publ Hlth, Sydney, NSW 2006, Australia
关键词
GOOGLE-SCHOLAR; OBESITY; NETWORKS; SCIENCE; SYSTEM; SCOPUS; WEB;
D O I
10.1371/journal.pone.0123537
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Understanding emerging areas of a multidisciplinary research field is crucial for researchers, policymakers and other stakeholders. For them a knowledge structure based on longitudinal bibliographic data can be an effective instrument. But with the vast amount of available online information it is often hard to understand the knowledge structure for data. In this paper, we present a novel approach for retrieving online bibliographic data and propose a framework for exploring knowledge structure. We also present several longitudinal analyses to interpret and visualize the last 20 years of published obesity research data.
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页数:22
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