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Research & Reviews: Discrete Mathematical Structures

On Structure and Robustness of Airport Network of India

  1. Ankur Bharali
  2. Dimpee Baruah

Abstract

This paper uses a complex network approach to study the structure and robustness of Airport Network of India (ANI). The ANI displays small-world (SW) network properties with an average path length of 2.262 and a clustering coefficient of 0.605, and it also exhibits disassortative mixing on degree of nodes, that means the high-degree nodes in the network tend to have connections with low-degree nodes. Being a disassortative network, ANI doesn’t percolate more easily and less robust to node removal. A study of the robustness of ANI is also carried out for targeted node removal.

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