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Structuration by intellectual organization: the configuration of knowledge in relations among structural components in networks of science

机译:智力组织的结构化:科学网络中结构要素之间关系中的知识配置

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摘要

Using aggregated journal–journal citation networks, the measurement of the knowledge base in empirical systems is factor-analyzed in two cases of interdisciplinary developments during the period 1995–2005: (i) the development of nanotechnology in the natural sciences and (ii) the development of communication studies as an interdiscipline between social psychology and political science. The results are compared with a case of stable development: the citation networks of core journals in chemistry. These citation networks are intellectually organized by networks of expectations in the knowledge base at the specialty (that is, above-journal) level. The “structuration” of structural components (over time) can be measured as configurational information. The latter is compared with the Shannon-type information generated in the interactions among structural components: the difference between these two measures provides us with a measure for the redundancy generated by the specification of a model in the knowledge base of the system. This knowledge base incurs (against the entropy law) to variable extents on the knowledge infrastructures provided by the observable networks of relations.
机译:使用汇总的期刊期刊引用网络,对1995-2005年间两个跨学科发展案例中的经验系统中知识库的度量进行了因素分析:(i)自然科学中的纳米技术发展和(ii)传播研究的发展是社会心理学和政治学之间的交叉学科。将结果与一个稳定发展的案例进行比较:化学核心期刊的引文网络。这些引用网络由专业(即,高于期刊的)级别的知识库中的期望网络从智力上进行组织。可以测量结构组件的“结构”(随时间变化)作为配置信息。将后者与在结构组件之间的交互中生成的Shannon型信息进行比较:这两种度量之间的差异为我们提供了一种度量,该度量用于系统知识库中的模型规范所生成的冗余。这种知识库(基于熵定律)在可观察的关系网络所提供的知识基础结构上产生了不同程度的影响。

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