ArticlePloS one2021
Analysis of pulsating variable stars using the visibility graph algorithm.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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
4 citing papers in PubMed.
- Article
- Defining the Scale to Build Complex Networks with a 40-Year Norwegian Intraplate Seismicity Dataset.Entropy (Basel, Switzerland) · 2023Article
- Characterizing the Solar Activity Using the Visibility Graph Method.Entropy (Basel, Switzerland) · 2023Article
- Assigning Degrees of Stochasticity to Blazar Light Curves in the Radio Band Using Complex Networks.Entropy (Basel, Switzerland) · 2022Article
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Authors and funding
2 authors.
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Abstract
We study the light curves of pulsating variable stars using a complex network approach to build visibility graphs. We consider various types of variables stars (e.g., Cepheids, δ Scuti, RR Lyrae), build two types of graphs (the normal visibility graph (VG) and the horizontal visibility graph (HVG)), and calculate various metrics for the resulting networks. We find that all networks have a power-law degree distribution for the VG and an exponential distribution for the HVG, suggesting that it is a universal feature, regardless of the pulsation features. Metrics such as the average degree, the clustering coefficient and the transitivity coefficient, can distinguish between some star types. We also observe that the results are not strongly affected by the presence of observation gaps in the light curves. These findings suggest that the visibility graph algorithm may be a useful technique to study variability in stars.
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