Skip to main content

graphs and networks - Why is NeighborhoodGraph so slow?


To get neighboring vertices I first tried:


gg = GridGraph[{10, 10, 10, 10}];
VertexList[NeighborhoodGraph[gg, 1, 1]] // AbsoluteTiming


{5.539308, {1, 2, 11, 101, 1001}}




But that is really slow. This is much faster and still uses the new Graph package:


Union[VertexInComponent[gg, 1, 1], VertexOutComponent[gg, 1, 1]] // AbsoluteTiming


{0.000172, {1, 2, 11, 101, 1001}}'



I believe that this mimics the NeigborhoodGraph approach above, but is still much faster than using NeighborhoodGraph:


VertexList[Subgraph[gg, Union[VertexInComponent[gg, 1, 1], 
VertexOutComponent[gg, 1, 1]]]] // AbsoluteTiming



{0.000306, {1, 2, 11, 101, 1001}}



The last two approaches are also faster than NeighborhoodVertices from the GraphUtilities package:


Needs["GraphUtilities`"]
NeighborhoodVertices[gg, 1, 1] // AbsoluteTiming


{0.017248, {1, 2, 11, 101, 1001}}




I'm working with large graphs that I need to manipulate quickly for several interactive information visualization tools. Any tips on why NeighborhoodGraph is so slow here and how to best use the new Graph package when speed is an issue?



Answer



The issue is that NeighborhoodGraph is attempting to infer the layout of the original GridGraph. The layout algorithm for the parent graph is responsible for the slowness. At the cost of loosing the layout information this can be sped-up:


In[1]:= gg = GridGraph[{10, 10, 10, 10}, GraphLayout -> None];

In[2]:= VertexList[NeighborhoodGraph[gg, 1, 1]] // AbsoluteTiming

Out[2]= {0.0199998, {1, 2, 11, 101, 1001}}

The GraphLayout -> None has the effect that Graph object is not automatically rendered:



enter image description here


In version 9 and later, the simpler


NeighborhoodGraph[g, n, GraphLayout -> None]

form can be used for much faster neighbourhood graph computations.


Comments

Popular posts from this blog

plotting - How to draw lines between specified dots on ListPlot?

I would like to create a plot where I have unconnected dots and some connected. So far, I have figured out how to draw the dots. My code is the following: ListPlot[{{1, 1}, {2, 2}, {3, 3}, {4, 4}, {1, 4}, {2, 5}, {3, 6}, {4, 7}, {1, 7}, {2, 8}, {3, 9}, {4, 10}, {1, 10}, {2, 11}, {3, 12}, {4,13}, {2.5, 7}}, Ticks -> {{1, 2, 3, 4}, None}, AxesStyle -> Thin, TicksStyle -> Directive[Black, Bold, 12], Mesh -> Full] I have thought using ListLinePlot command, but I don't know how to specify to the command to draw only selected lines between the dots. Do have any suggestions/hints on how to do that? Thank you. Answer One possibility would be to use Epilog with Line : ListPlot[ {{1, 1}, {2, 2}, {3, 3}, {4, 4}, {1, 4}, {2, 5}, {3, 6}, {4, 7}, {1, 7}, {2, 8}, {3, 9}, {4, 10}, {1, 10}, {2, 11}, {3, 12}, {4, 13}, {2.5, 7}}, Ticks -> {{1, 2, 3, 4}, None}, AxesStyle -> Thin, TicksStyle -> Directive[Black, Bold, 12], Mesh -> Full, Epilog -> { Line[ ...

dynamic - How can I make a clickable ArrayPlot that returns input?

I would like to create a dynamic ArrayPlot so that the rectangles, when clicked, provide the input. Can I use ArrayPlot for this? Or is there something else I should have to use? Answer ArrayPlot is much more than just a simple array like Grid : it represents a ranged 2D dataset, and its visualization can be finetuned by options like DataReversed and DataRange . These features make it quite complicated to reproduce the same layout and order with Grid . Here I offer AnnotatedArrayPlot which comes in handy when your dataset is more than just a flat 2D array. The dynamic interface allows highlighting individual cells and possibly interacting with them. AnnotatedArrayPlot works the same way as ArrayPlot and accepts the same options plus Enabled , HighlightCoordinates , HighlightStyle and HighlightElementFunction . data = {{Missing["HasSomeMoreData"], GrayLevel[ 1], {RGBColor[0, 1, 1], RGBColor[0, 0, 1], GrayLevel[1]}, RGBColor[0, 1, 0]}, {GrayLevel[0], GrayLevel...

Is there a way to do conditional matrix loop using 'continue'

I have the following: n = 3; m = 5; ww = RandomReal[{0, 0.1}, {n, n}]; uu = RandomReal[{0, 1}, {m, n}]; pp = RandomReal[{0, 1}, {n, n}]; ss = RandomInteger[{0, 5}, {m, n}]; Grid[{{"ww", "uu", "pp", "ss"}, {ww // TableForm, uu // TableForm, pp // TableForm, ss // TableForm}}, Spacings -> {5, 2}, Dividers -> All] where I would like to look at every element of matrix ss and produce a matrix tt , with zeroes at the locations in ss which have zeroes, and in all other positions do the following: tt = (-1/Subscript[ww, m]) Log[(1 - uu)/(Subscript[pp, m - 1])], where Subscript[ww, m] is the value at index of ww matrix and where Subscript[pp, m - 1] is the value at index-1 of pp matrix. So for example if the first value ever read from matrix ss happens to be 2, then value taken from matrix ww would be from the row 2, but from pp would be from row 1. Also how to tell difference between a 0 as a valid value from within the matrix elemen...