Existence of a unified network predictability metric

Determine whether there exists a network predictability metric that simultaneously inherits the advantages of existing spectral, information-theoretic, and structural methods while avoiding their known limitations across diverse networks.

Background

Within the review of network predictability, the authors categorize existing methods into spectral, information-theoretic, and structural approaches, each offering complementary strengths but also notable limitations in scalability, robustness, and adaptability to heterogeneous and dynamic networks.

They argue that the field lacks a generally accepted metric that can serve as a unified standard across network types, motivating the open problem of whether such a metric can be devised that captures the benefits of all categories without their drawbacks.