2010/06/05 by Waltman, Ludo, van Eck, Nees Jan, Noyons, Ed C. M. · 5 citations
#Data Analysis #Digital Libraries (cs.DL) #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Statistics and Probability (physics.data-an)
paper · doi:10.48550/arxiv.1006.1032
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.