[DSRP Evidence](https://dsrpevidence.org/)

# HawkesRank: Event-driven centrality for real-time importance ranking

Sornette et al., 2026, PNAS Nexus — Network Science

Patterns: [Distinctions](https://dsrpevidence.org/pattern/distinctions), [Systems](https://dsrpevidence.org/pattern/systems), [Relationships](https://dsrpevidence.org/pattern/relationships)

## In short

Reframing a network's importance structure as a relational, whole-system property — separating self-generated from externally triggered activity — recovers classic static centrality measures as a simplified special case, showing the static view was a snapshot of a richer relational dynamic.

## What they found (results)

Modeling influence with multivariate Hawkes point processes, the authors show classical centrality measures (Katz centrality, PageRank) are stationary mean-field limits of a more general event-driven formulation, which better captures real, time-varying importance in empirical online-communication data by distinguishing self- from cross-excitation.

These researchers were not testing DSRP. The finding is theirs; the correspondence to DSRP is drawn by this site.

[Source](https://doi.org/10.1093/pnasnexus/pgag292)