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Number versus structure: towards citing cascades

Author

Listed:
  • Yong Huang

    (Wuhan University)

  • Yi Bu

    (Indiana University)

  • Ying Ding

    (Indiana University
    Wuhan University
    Tianjin Normal University
    Jilin University)

  • Wei Lu

    (Wuhan University)

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.

Suggested Citation

  • Yong Huang & Yi Bu & Ying Ding & Wei Lu, 2018. "Number versus structure: towards citing cascades," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 2177-2193, December.
    • Handle: RePEc:spr:scient:v:117:y:2018:i:3:d:10.1007_s11192-018-2952-y
    DOI: 10.1007/s11192-018-2952-y
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    References listed on IDEAS

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    Cited by:

    1. Chao Min & Qingyu Chen & Erjia Yan & Yi Bu & Jianjun Sun, 2021. "Citation cascade and the evolution of topic relevance," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(1), pages 110-127, January.
    2. Yang, Jinqing & Liu, Zhifeng, 2022. "The effect of citation behaviour on knowledge diffusion and intellectual structure," Journal of Informetrics, Elsevier, vol. 16(1).
    3. Min, Chao & Bu, Yi & Sun, Jianjun, 2021. "Predicting scientific breakthroughs based on knowledge structure variations," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    4. Jianhua Hou & Xiucai Yang & Yang Zhang, 2023. "The effect of social media knowledge cascade: an analysis of scientific papers diffusion," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5169-5195, September.

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