AI RESEARCH
Structural Concentration in Weighted Networks: A Class of Topology-Aware Indices
arXiv CS.LG
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ArXi:2603.21918v1 Announce Type: cross This paper develops a unified framework for measuring concentration in weighted systems embedded in networks of interactions. While traditional indices such as the Herfindahl-Hirschman Index capture dispersion in weights, they neglect the topology of relationships among the elements receiving those weights. To address this limitation, we