On the structure and edge multiplicity of cospectral k - crowded chordal networks

Authors

  • Renuga Thirumoorthi Department of Mathematics, Jai Shriram Engineering College, Tirupur 638660, Tamil Nadu, India.; Department of Mathematics, Sri GVG Visalakshi College for Women, Udumalaipettai, Tirupur 642128, Tamil Nadu, India
  • Jayalakshmi Periyannan Department of Mathematics, Sri GVG Visalakshi College for Women, Udumalaipettai, Tirupur 642128, Tamil Nadu, India
  • Gayathiri Balasubramaniam Department of Mathematics, Bannari Amman Institute of Technology, Sathyamangalam, Erode - 638401, Tamil Nadu, India
  • Prasantha Bharathi Dhandapani Department of Mathematics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, Tamil Nadu, India

Abstract

The study of connectivity has become increasingly significant as networks find application in numerous domains. Our objective was to discern characterization of chordal communities(or sub networks) within a network or the cospectral chordal network of k-crowded chordal communities. The multiplicity of edges AB in G is presented by $me_G(AB) = |Ng_G(A) \cap Ng_G(B)|$. A k-crowded chordal community of cospectral chordal network G, referred to as $CCC_k(G)$ is maximally linked sub network formed by the vertex set for an integer k, where $k \geq 4$ i.e.,\\

$$V_{CCC_k}(G) = \{A \in V(G), B \in V(G)$$ such that $\; AB \in E(G)$ \; and $\; me_{CCC_k}(G)(AB) \geq k - 4\}$

This research pinpoint networks that are k-crowded yet not (k+1)-crowded for certain values of k. It furthermore investigates the least and greatest number of edges present in these networks. Grasping k-crowded chordal sub networks, which are referred to as communities can help in analyzing connectedness, practical instances consist of large, intricate networks (or graphs).

 

Published

2026-08-30

How to Cite

On the structure and edge multiplicity of cospectral k - crowded chordal networks. (2026). Nonlinear Studies, 33(3), 947-960. https://www.nonlinearstudies.com/index.php/nonlinear/article/view/4195