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On the Randić index and its variants of network data

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  • Mingao Yuan

    (North Dakota State University)

Abstract

Summary statistics play an important role in network data analysis. They can provide us with meaningful insight into the structure of a network. The Randić index is one of the most popular network statistics that has been widely used for quantifying information of biological networks, chemical networks, pharmacologic networks, etc. A topic of current interest is to find bounds or limits of the Randić index and its variants. A number of bounds of the indices are available in literature. Recently, there are several attempts to study the limits of the indices in the Erdős–Rényi random graph by simulation. In this paper, we shall derive the limits of the Randić index and its variants of an inhomogeneous Erdős–Rényi random graph. Our results charaterize how network heterogeneity affects the indices and provide new insights about the Randić index and its variants. Finally we apply the indices to several real-world networks.

Suggested Citation

  • Mingao Yuan, 2024. "On the Randić index and its variants of network data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 33(1), pages 155-179, March.
    • Handle: RePEc:spr:testjl:v:33:y:2024:i:1:d:10.1007_s11749-023-00887-6
    DOI: 10.1007/s11749-023-00887-6
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    References listed on IDEAS

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    1. Peter J. Bickel & Purnamrita Sarkar, 2016. "Hypothesis testing for automated community detection in networks," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(1), pages 253-273, January.
    2. Martínez-Martínez, C.T. & Méndez-Bermúdez, J.A. & Rodríguez, José M. & Sigarreta, José M., 2020. "Computational and analytical studies of the Randić index in Erdös–Rényi models," Applied Mathematics and Computation, Elsevier, vol. 377(C).
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