Category cocitation and its representation through social networks is proving to be a very adequate technique for thevisualization and analysis of great scientific domains. Its combination with PathfinderNetworks using pruning values r = ∞and q = n – 1 makes manifest the essence of research in the domain represented, or what we might call the “most salient structure”. The possible loss of structural information, caused by agressive pruning in perpheral areas of the networks, is neatly overcome by creating heliocentric maps for each category. The depictions obtained with this procedure become tools of great utility in view of their capacity to reveal the evolution of a given scientific domain over time, to show differences and similarities between different domains, and to suggest possible new lines of development.
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机译：类别引用及其通过社交网络的表示被证明是用于可视化和分析重大科学领域的一种非常合适的技术。它与使用修剪值r =∞和q = n – 1的PathfinderNetworks的结合使所代表的领域或我们称之为“最显着的结构”的研究本质得以体现。通过为每个类别创建日心中心图，可以很好地克服由于网络外围区域的主动修剪而导致的结构信息丢失的可能。考虑到它们能够揭示给定科学领域随时间的演变，显示不同领域之间的差异和相似之处以及提出可能的新发展路线的能力，使用此过程获得的描述成为非常有用的工具。
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