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Does main path analysis prefer longer paths?

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  • Chung-Huei Kuan

    (National Taiwan University of Science and Technology
    National Taiwan University)

Abstract

Does main path analysis (MPA), in producing the main paths (MPs), invariably choose the longer paths over the shorter ones? This work examines the various combinations of the most popular path search algorithms, i.e., local and global searches (including the key-route variant), and the weight assignment algorithms, i.e., search path count (SPC), search path link count (SPLC), and search path node pair (SPNP), to investigate the path preference of MPA. Based on a simplified model, this work finds that, when there are multiple paths between a pair of nodes, MPA indeed goes for the longer paths under some, but not all, algorithm combinations, but it may retain both longer and shorter paths under other combinations.

Suggested Citation

  • Chung-Huei Kuan, 2023. "Does main path analysis prefer longer paths?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 841-851, January.
    • Handle: RePEc:spr:scient:v:128:y:2023:i:1:d:10.1007_s11192-022-04543-y
    DOI: 10.1007/s11192-022-04543-y
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    References listed on IDEAS

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    1. Kim, Erin H.J. & Jeong, Yoo Kyung & Kim, YongHwan & Song, Min, 2022. "Exploring scientific trajectories of a large-scale dataset using topic-integrated path extraction," Journal of Informetrics, Elsevier, vol. 16(1).
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    5. Yu, Dejian & Pan, Tianxing, 2021. "Tracing the main path of interdisciplinary research considering citation preference: A case from blockchain domain," Journal of Informetrics, Elsevier, vol. 15(2).
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    Cited by:

    1. Xiaorui Jiang & Junjun Liu, 2023. "Extracting the evolutionary backbone of scientific domains: The semantic main path network analysis approach based on citation context analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(5), pages 546-569, May.

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