Number versus structure: towards citing cascades

Yong Huang, Yi Bu, Ying Ding and Wei Lu ()
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Yong Huang: Wuhan University
Yi Bu: Indiana University
Ying Ding: Indiana University
Wei Lu: Wuhan University

Scientometrics, 2018, vol. 117, issue 3, No 43, 2177-2193

Abstract: Abstract This paper proposes a novel concept of the citing cascade, defined as a network comprising citing relationships between a paper and its citing paper, as well as those among its citing papers. Compared with citation counts using a single number, citing cascades reveal the structural information of citation networks of a scientific publication and thus help us better understand the citation impact of a scientific publication (called the owner of the citing cascade). We then define and elaborate on several basic and advanced properties of citing cascades. By employing computer science publication records in the Microsoft Academic Graph dataset, we found that cascade size, edge count, in-degree, and out-degree all follow typical power law distributions with various exponential parameters (α). In addition, cascade depth is observed to follow an exponential distribution. We also examine the relation between citation count of the owner and some advanced properties that we defined. Many related future studies are also illustrated at the end of this paper.

Keywords: Citing cascade; Citation count; Citation impact; Scientometrics (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s11192-018-2952-y

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