Topics as clusters of citation links to highly cited sources: The case of research on international relations

Abstract

Abstract Following Henry Small in his approach to cocitation analysis, highly cited sources are seen as concept symbols of research fronts. But instead of cocited sources, I cluster citation links, which are the thematically least heterogenous elements in bibliometric studies. To obtain clusters representing topics characterized by concepts, I restrict link clustering to citation links to highly cited sources. Clusters of citation links between papers in a political-science subfield (international relations) and 300 of their sources most cited in the period 2006–2015 are constructed by a local memetic algorithm. It finds local minima in a cost landscape corresponding to clusters, which can overlap each other pervasively. The clusters obtained are well separated from the rest of the network but can have suboptimal cohesion. Cohesive cores of topics are found by applying an algorithm that constructs core-periphery structures in link sets. In this methodological paper I discuss some initial clustering results for the second half of the 10-year period.

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No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 10 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.