Home ›
Entities
› academia
› Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks
Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks
Research article (Neurocomputing, 2025) · cited 20× · AI/ML
Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks
Summary
Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks is a scholarly article[1].
Key Facts
Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/measuring-hierarchically-organized-interactions-in-dynamic-networks-through-spectral-entropy-rates-theory-estimation-and
MLA“Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/measuring-hierarchically-organized-interactions-in-dynamic-networks-through-spectral-entropy-rates-theory-estimation-and.
BibTeX@misc{4ortxyz_measuring-hierarchically-organized-interactions-in-dynamic-networks-through-spectral-entropy-rates-theory-estimation-and_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks}}, year = {2026}, url = {https://4ort.xyz/entity/measuring-hierarchically-organized-interactions-in-dynamic-networks-through-spectral-entropy-rates-theory-estimation-and}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks — https://4ort.xyz/entity/measuring-hierarchically-organized-interactions-in-dynamic-networks-through-spectral-entropy-rates-theory-estimation-and (retrieved 2026-05-24)
