ArticlePloS one2011
Connections between classical and parametric network entropies.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- On Properties of Distance-Based Entropies on Fullerene Graphs.Entropy (Basel, Switzerland) · 2019Article
- Relating Vertex and Global Graph Entropy in Randomly Generated Graphs.Entropy (Basel, Switzerland) · 2018Article
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- The discrimination power of structural SuperIndices.PloS one · 2013Article
- Recent developments in quantitative graph theory: information inequalities for networks.PloS one · 2012Article
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Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper explores relationships between classical and parametric measures of graph (or network) complexity. Classical measures are based on vertex decompositions induced by equivalence relations. Parametric measures, on the other hand, are constructed by using information functions to assign probabilities to the vertices. The inequalities established in this paper relating classical and parametric measures lay a foundation for systematic classification of entropy-based measures of graph complexity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.