A unified approach to mapping and clustering of bibliometric networks

By Ludo Waltman, Nees Jan van Eck, Ed C. M. Noyons. J. Informetrics, 2010

2,008 citations recorded by the source corpus.

In the analysis of bibliometric networks, researchers often use mapping and clustering techniques in a combined fashion. Typically, however, mapping and clustering techniques that are used together rely on very different ideas and assumptions. We propose a unified approach to mapping and clustering of bibliometric networks. We show that the VOS mapping technique and a weighted and parameterized variant of modularity-based clustering can both be derived from the same underlying principle. We illustrate our proposed approach by producing a combined mapping and clustering of the most frequently cited publications that appeared in the field of information science in the period 1999-2008.

Subfields: Artificial Intelligence, Molecular Biology, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/35ae0fed98f86464db10e0f1fccf92d9842024cb

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Citations in the corpus

Mapping the field: a bibliometric analysis of the literature on university–industry collaborations (2017, methodology): “A detailed methodological overview including calculations of the association strength measure and comparison to other well-known measures is provided in Van Eck and Waltman (2009) and Waltman et al. (2010).”
A smart local moving algorithm for large-scale modularity-based community detection (2013, methodology): “Also, some variants of the modularity-based community detection approach use modularity functions with a somewhat modified mathematical structure (e.g., Reichardt & Bornholdt, 2006; Traag, Van Dooren, & Nesterov, 2011; Waltman, Van Eck, & Noyons, 2010).”
Disruption risks in supply chain management: a literature review based on bibliometric analysis (2020, background): “According to Waltman, Van Eck, and Noyons (2010), visualisation of similarities (VOS) mapping technology can be used for multidimensional scaling.”
Visualizing Bibliometric Networks (2014, neutral): “We refer to Waltman et al. (2010) for more details.”
Climate Change Research in View of Bibliometrics (2016, methodology): “VOSviewer uses a modularity-based clustering technique, which is closely related to the multidimensional scaling technique [26] and is based on the smart local moving algorithm [27].”