Literaturnachweis - Detailanzeige
| Autor/inn/en | Schildt, Henri A.; Mattsson, Juha T. |
|---|---|
| Titel | A dense network sub-grouping algorithm for co-citation analysis and its implementation in the software tool Sitkis. |
| Quelle | In: Scientometrics, (2006) 1, S.143-163
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| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0138-9130 |
| DOI | 10.1007/s11192-006-0054-8 |
| Schlagwörter | Cluster Algorithm; Small Variation; Software Tool; Multidimensional Scaling; Dense Network |
| Abstract | Summary Clustering algorithms are used prominently in co-citation analysis by analysts aiming to reveal research streams within a field. However, clustering of widely cited articles is not robust to small variations in citation patterns. We propose an alternative algorithm, dense network sub-grouping, which identifies dense groups of co-cited references. We demonstrate the algorithm using a data set from the field of family business research and compare it to two alternative methods, multidimensional scaling and clustering. We also introduce a free software tool, Sitkis, that implements the algorithm and other common bibliometric methods. The software identifies journal-, country- and university-specific citation patterns and co-citation groups, enabling the identification of “invisible colleges.” |
| Erfasst von | OLC |
| Update | 2023/2/05 |
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