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Closeness Centralities of Lollipop Graphs

Chavdar Dangalchev

TL;DR

The paper analyzes closeness centralities for the lollipop family $L_{m,n}$, focusing on how network growth and resilience respond to vertex and edge deletions as well as link additions. It derives exact closed-form expressions for $C(L_{m,n})$, vertex residual closeness $VR(L_{m,n})$, link residual closeness $LR(L_{m,n})$, and additional closeness $A(L_{m,n})$, plus extensive case analyses of deletion and addition scenarios. The results identify which local modifications maximize or minimize closeness and provide practical guidance for maintaining or expanding such networks; the appendices support detailed comparisons among candidate graphs. The findings deepen understanding of how a bridged clique-plus-path structure behaves under perturbations, with implications for design of robust, scalable networks.

Abstract

Closeness is one of the most studied characteristics of networks. Residual closeness is a very sensitive measure of graphs robustness. Additional closeness is a measure of growth potentials of networks. In this article we calculate the closeness, vertex residual closeness, link residual closeness, and additional closeness of lollipop graphs.

Closeness Centralities of Lollipop Graphs

TL;DR

The paper analyzes closeness centralities for the lollipop family , focusing on how network growth and resilience respond to vertex and edge deletions as well as link additions. It derives exact closed-form expressions for , vertex residual closeness , link residual closeness , and additional closeness , plus extensive case analyses of deletion and addition scenarios. The results identify which local modifications maximize or minimize closeness and provide practical guidance for maintaining or expanding such networks; the appendices support detailed comparisons among candidate graphs. The findings deepen understanding of how a bridged clique-plus-path structure behaves under perturbations, with implications for design of robust, scalable networks.

Abstract

Closeness is one of the most studied characteristics of networks. Residual closeness is a very sensitive measure of graphs robustness. Additional closeness is a measure of growth potentials of networks. In this article we calculate the closeness, vertex residual closeness, link residual closeness, and additional closeness of lollipop graphs.
Paper Structure (28 sections, 108 equations)