Hello everyone, I need to use Graphs.jl for a project which requires me to mainly use the `pagerank`

function on an undirected weighted graph. I found SimpleWeightedGraphs.jl provides this functionality. It implements the `pagerank`

function and the docs clearly say that it applies the page rank algorithm on a weighted graph. However, in practice, when I calculated the pagerank values for a weighted graph using this function, the output does not seem to depend on the input at all. I drastically changed the weights of an edge and still the output remains exactly the same.

My code:

```
julia> using Graphs, SimpleWeightedGraphs
julia> gio = open("jlswg.swg", "r")
IOStream(<file jlswg.swg>)
julia> g = loadgraph(gio, "mygraph", SWGFormat())
{19, 18} undirected simple Int64 graph with Float64 weights
julia> pagerank(g)
19-element Vector{Float64}:
0.1092146212861009
0.10356432533049537
0.10178023275386266
0.10206193095278274
0.07852598368760652
0.10973951356004562
0.030143177366541946
0.031102727252357323
0.031102727252357323
0.031102727252357323
0.029902352263017743
0.029902352263017743
0.029522712438970138
0.029522712438970138
0.02958336377901657
0.02958336377901657
0.031215058781161084
0.031215058781161084
0.031215058781161084
```

`jlswg.swg`

looks like this:

```
LightGraphs.SimpleWeightedGraph,19,18,u,mygraph,1,Int64,Float64,simpleweightedgraph
1,2,1.0
2,3,33.0
3,4,2.0
4,5,5.0
5,6,99.0
5,7,5.0
1,8,2.0
1,9,2.0
1,10,4.0
2,11,12.0
2,12,34.0
3,13,999.0
3,14,8.0
4,15,5.0
4,16,34.0
6,17,2.0
6,18,3.0
6,19,5.0
```

I tried changing many different values by large amounts, but still the output for `pagerank(g)`

remains the same. What might the issue here? Is it something to do with `SimpleWeightedGraphs.jl`

or my implementation?