Bibliometric Analyses of the Network Clustering Literature

This chapter focuses on the large set of publications identified in the area of graph/network clustering and blockmodeling, and included in the Web of Science through February 2017. The two dominant approaches for clustering networks are found in the “social” social network literature and the litera...

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Veröffentlicht in:Advances in Network Clustering and Blockmodeling S. 11 - 64
Hauptverfasser: Batagelj, Vladimir, Ferligoj, Anuška, Doreian, Patrick
Format: Buchkapitel
Sprache:Englisch
Veröffentlicht: United Kingdom John Wiley & Sons, Incorporated 2020
John Wiley & Sons, Ltd
Schlagworte:
bibliometric analyses
blockmodeling
citation networks
data cleaning
data collection
link islands
network clustering literature
Web of Science
ISBN:9781119224709, 1119224705
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:This chapter focuses on the large set of publications identified in the area of graph/network clustering and blockmodeling, and included in the Web of Science through February 2017. The two dominant approaches for clustering networks are found in the “social” social network literature and the literature featuring physicists and other scientists examining networks. Blockmodeling is an approach that partitions the nodes of a network into positions (clusters of nodes) with the blocks being the sets of relationships within and between positions. The chapter first outlines the steps in the collection of data and cleaning them together with constructing measures and identifying specific productions. It then presents several approaches to identifying network features including components, critical main paths, and key‐route paths for analyzing citation networks. The chapter also examines line islands as clusters in the network clustering literature, and finally focuses on authors, productivity, collaboration, and bibliometric coupling.
ISBN:9781119224709
1119224705
DOI:10.1002/9781119483298.ch2