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Document co-citation analysis to enhance transdisciplinary research

机译:文献共同分析,提升跨学科研究

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摘要

Specialized and emerging fields of research infrequently cross disciplinary boundaries and would benefit from frameworks, methods, and materials informed by other fields. Document co-citation analysis, a method developed by bibliometric research, is demonstrated as a way to help identify key literature for cross-disciplinary ideas. To illustrate the method in a useful context, we mapped peer-recognized scholarship related to systems thinking. In addition, three procedures for validation of co-citation networks are proposed and implemented. This method may be useful for strategically selecting information that can build consilience about ideas and constructs that are relevant across a range of disciplines.
机译:专业和新兴的研究领域不经常跨越纪律界限,并将受益于其他领域通知的框架,方法和材料。 文献协助分析,通过伯格计研究的一种方法,被证明是帮助识别跨学科思想的关键文学的一种方式。 为了说明在有用的背景下的方法,我们映射了与系统思维相关的同行认可的奖学金。 此外,提出并实施了三个验证共同网络的程序。 该方法对于战略性地选择能够为涉及一系列学科相关的思想和构建的良好选择的信息。

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