WebJan 22, 2024 · scaleFreePlot ( connectivity, nBreaks = 10, truncated = FALSE, removeFirst = FALSE, main = "", ...) Arguments Details The function plots a log-log plot of a histogram of the given connectivities, and fits a linear model plus optionally a truncated exponential model. WebNov 1, 2016 · The scale-free topology is a heterogeneous topology, that is, the degree distribution probability fulfills the power-law relation. The topological robustness is the ability of the topology to maintain its connectivity after node failures, meaning that the nodes remove [4].

WGCNA/scaleFreeFitIndex.Rd at master · cran/WGCNA · GitHub

WebJul 1, 2014 · As expected the truncated scale-free model provides a better fit to the degree distribution than the scale-free model. An F-test applied to these nested models revealed that for 8 of the 10 subjects, a truncated scale-free topology was an improvement over the scale-free model, yielding p-values below 0.0001 for β < 7. WebJan 14, 2024 · Why isn't it just the R^2 value and instead multiplying -sign(slope) * R^2 ? What does a negative scalefree topology in this event mean? I'm following the tutorial ... dth 2421

Scale-free networks are rare Nature Communications

WebOthers have used the power just as noise filtering without caring much about the scale-free topology fit. I would pick the first power even if the mean connectivity is in the order of … The most notable characteristic in a scale-free network is the relative commonness of vertices with a degree that greatly exceeds the average. The highest-degree nodes are often called "hubs", and are thought to serve specific purposes in their networks, although this depends greatly on the domain. Another important characteristic of scale-free networks is the clustering coeffi… WebMar 4, 2024 · Evidence for scale-free structure typically comes in two types: (i) a power-law distribution is not necessarily a good model of the degrees, but it is a relatively better … dth-2242/medical