This analysis generalizes the friendship paradox across various centrality measures in networks, suggesting broader implications.
We revisit the classical friendship paradox which states that on an average one's friends have at least as many friends as oneself and generalize it to a variety of network centrality measures. In particular, we show that for any irreducible, undirected graph G, the "friends-average" of degree, eigenvector-centrality, walk-count, Katz, and PageRank centralities exceeds the global average. We show that the result follows from the variational characterisation of the eigenvector corresponding to the Perron eigenvalue.
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Hazra et al. (2025) studied this question.
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