ArticlePloS one2014
Interrelations of graph distance measures based on topological indices.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed.
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- GPCRs Are Optimal Regulators of Complex Biological Systems and Orchestrate the Interface between Health and Disease.International journal of molecular sciences · 2021Review
- Structure of Investor Networks and Financial Crises.Entropy (Basel, Switzerland) · 2021Article
- On Properties of Distance-Based Entropies on Fullerene Graphs.Entropy (Basel, Switzerland) · 2019Article
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- Graphettes: Constant-time determination of graphlet and orbit identity including (possibly disconnected) graphlets up to size 8.PloS one · 2017Article
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- Subpathway-CorSP: Identification of metabolic subpathways via integrating expression correlations and topological features between metabolites and genes of interest within pathways.Scientific reports · 2016Article
- An Examination of Not-For-Profit Stakeholder Networks for Relationship Management: A Small-Scale Analysis on Social Media.PloS one · 2016Article
- An Extended N-Player Network Game and Simulation of Four Investment Strategies on a Complex Innovation Network.PloS one · 2016Article
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- C¹ Positive Surface over Positive Scattered Data Sites.PloS one · 2015Article
- Structural Analysis of Treatment Cycles Representing Transitions between Nursing Organizational Units Inferred from Diabetes.PloS one · 2015Article
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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
In this paper, we derive interrelations of graph distance measures by means of inequalities. For this investigation we are using graph distance measures based on topological indices that have not been studied in this context. Specifically, we are using the well-known Wiener index, Randić index, eigenvalue-based quantities and graph entropies. In addition to this analysis, we present results from numerical studies exploring various properties of the measures and aspects of their quality. Our results could find application in chemoinformatics and computational biology where the structural investigation of chemical components and gene networks is currently of great interest.
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