Visualizing the scientific world and its evolution

Samoylenko, I.; Chao, Tiffany C.; Liu, Wei-Chih; Chen, Chi-Ming

doi:10.1002/asi.20450

Cited by 31 publications

(18 citation statements)

References 32 publications

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“…As far as we know, only one informetric study has briefly used Procrustes analysis, but without a methodical presentation or discussion (Samoylenko, Chao, Liu, & Chen, 2006). The objective of the present paper is to introduce orthogonal Procrustes analysis as a tool for comparison of ordination results in informetric studies.…”

Section: The Procrustes Problemmentioning

confidence: 98%

Matrix comparison, Part 2: Measuring the resemblance between proximity measures or ordination results by use of the mantel and procrustes statistics

Schneider

Borlund

2007

J. Am. Soc. Inf. Sci.

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The present two-part article introduces matrix comparison as a formal means for evaluation purposes in informetric studies such as cocitation analysis. In the first part, the motivation behind introducing matrix comparison to informetric studies, as well as two important issues influencing such comparisons, matrix generation, and the composition of proximity measures, are introduced and discussed. In this second part, the authors introduce and thoroughly demonstrate two related matrix comparison techniques the Mantel test and Procrustes analysis, respectively. These techniques can compare and evaluate the degree of monotonicity between different proximity measures or their ordination results. In common with these techniques is the application of permutation procedures to test hypotheses about matrix resemblances. The choice of technique is related to the validation at hand. In the case of the Mantel test, the degree of resemblance between two measures forecast their potentially different affect upon ordination and clustering results. In principle, two proximity measures with a very strong resemblance most likely produce identical results, thus, choice of measure between the two becomes less important. Alternatively, or as a supplement, Procrustes analysis compares the actual ordination results without investigating the underlying proximity measures, by matching two configurations of the same objects in a multidimensional space. An advantage of the Procrustes analysis though, is the graphical solution provided by the superimposition plot and the resulting decomposition of variance components. Accordingly, the Procrustes analysis provides not only a measure of general fit between configurations, but also values for individual objects enabling more elaborate validations. As such, the Mantel test and Procrustes analysis can be used as statistical validation tools in informetric studies and thus help choosing suitable proximity measures.

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Section: The Procrustes Problemmentioning

confidence: 98%

Matrix comparison, Part 2: Measuring the resemblance between proximity measures or ordination results by use of the mantel and procrustes statistics

Schneider

Borlund

2007

J. Am. Soc. Inf. Sci.

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“…Figure 1 plots the co-occurrence relationship of subject categories involved in IS research after simplification by Pathfinder network scaling. Pathfinder network scaling, together with the minimum spanning tree algorithm, is a structural modeling technique commonly used to eliminate redundant or counter-intuitive connections and to retain the most salient ones (Samoylenko et al 2006). Each node in the network represents a category involved in IS research.…”

Section: Disciplinary Distributionmentioning

confidence: 99%

Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis

et al. 2015

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Despite increasing awareness of the need to trace the trajectory of innovation system research, so far little attention has been given to quantitative depiction of the evolution of this fast-moving research field. This paper uses CiteSpace to demonstrate visually intellectual structures and developments. The study uses citation analysis to detect and visualize disciplinary distributions, keyword co-word networks and journal cocitation networks, highly cited references, as well as highly cited authors to identify intellectual turning points, pivotal points and emerging trends, in innovation systems system research from 1975 to 2012.

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“…Boyack, Klavans, and Börner (2005) applied eight alternative measures of journal similarity to a dataset of 7,121 journals covering over 1 million documents in the combined Science Citation and Social Science Citation Indexes, to show the first global map of science using the force-directed graph layout tool VxOrd. Samoylenko Chao, Liu, and Chen (2006) proposed an approach through the construction of minimum spanning trees of scientific journals, using the Science Citation Index from 1994 to 2001.…”

Section: Related Workmentioning

confidence: 99%