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Matrix Energy as a Measure of Topological Complexity of a Graph

2016/08/16 by K. P. Sinha, Olivier de Weck, Sinha, Kaushik +1
Computer Science · Physics and Astronomy · #05C50 #Combinatorics (math.CO) #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Interconnection Networks and Systems #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #Topological and Geometric Data Analysis

paper · pdf · doi:10.48550/arxiv.1608.08456

openalex publication_date 2016/08/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The complexity of highly interconnected systems is rooted in the interwoven architecture defined by its connectivity structure. In this paper, we develop matrix energy of the underlying connectivity structure as a measure of topological complexity and highlight interpretations about certain global features of underlying system connectivity patterns. The proposed complexity metric is shown to satisfy the Weyuker criteria as a measure of its validity as a formal complexity metric. We also introduce the notion of P point in the graph density space. The P point acts as a boundary between multiple connectivity regimes for finite-size graphs.

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