Calculate NetworkX Edge Betweenness Centrality with Coordinate Values and Weighted Edges
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I have a NetworkX dataset ordered in such a way that specifies NodeCoordinate-NodeCoordinate-EdgeWeight. An example of the dataset is provided below:
(33, 440) (33, 441) 494.416
(33, 440) (33, 439) 494.688
(33, 440) (32, 441) 708.707670939
(33, 440) (32, 440) 501.896
(33, 440) (34, 439) 680.836350052
(33, 440) (34, 441) 681.679221335
(33, 440) (34, 440) 482.684
(33, 440) (32, 439) 709.245072093
(342, 418) (342, 419) 444.088
(342, 418) (341, 417) 628.035272487
(342, 418) (341, 418) 444.088
As can be seen in the above example, the coordinate values in parentheses specify the x and y position of a node within the graph. The first node value repeats eight times ("(33, 440)" in this case) because it defines edge values in each cardinal direction and on the diagonal. I am trying to calculate current flow with NetworkX's edge_current_flow_betweenness_centrality() function for this dataset but have been unable to produce a result. Any thoughts on how to create an output? For this analysis I am using Python 27.
Thanks in advance for any help!
python python-2.7 networkx graph-theory
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up vote
0
down vote
favorite
I have a NetworkX dataset ordered in such a way that specifies NodeCoordinate-NodeCoordinate-EdgeWeight. An example of the dataset is provided below:
(33, 440) (33, 441) 494.416
(33, 440) (33, 439) 494.688
(33, 440) (32, 441) 708.707670939
(33, 440) (32, 440) 501.896
(33, 440) (34, 439) 680.836350052
(33, 440) (34, 441) 681.679221335
(33, 440) (34, 440) 482.684
(33, 440) (32, 439) 709.245072093
(342, 418) (342, 419) 444.088
(342, 418) (341, 417) 628.035272487
(342, 418) (341, 418) 444.088
As can be seen in the above example, the coordinate values in parentheses specify the x and y position of a node within the graph. The first node value repeats eight times ("(33, 440)" in this case) because it defines edge values in each cardinal direction and on the diagonal. I am trying to calculate current flow with NetworkX's edge_current_flow_betweenness_centrality() function for this dataset but have been unable to produce a result. Any thoughts on how to create an output? For this analysis I am using Python 27.
Thanks in advance for any help!
python python-2.7 networkx graph-theory
When you say "create an output", can you be more specific about what output you want?
– Joel
Nov 11 at 0:07
@Joel thanks for commenting. Simply put, I do not know how to properly put this dataset in to NetworkX to have it calculate current flow.
– Zach
Nov 11 at 0:10
I should say that I do not know how to put the information in to Python to have NetworkX calculate calculate current flow.
– Zach
Nov 13 at 2:34
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I have a NetworkX dataset ordered in such a way that specifies NodeCoordinate-NodeCoordinate-EdgeWeight. An example of the dataset is provided below:
(33, 440) (33, 441) 494.416
(33, 440) (33, 439) 494.688
(33, 440) (32, 441) 708.707670939
(33, 440) (32, 440) 501.896
(33, 440) (34, 439) 680.836350052
(33, 440) (34, 441) 681.679221335
(33, 440) (34, 440) 482.684
(33, 440) (32, 439) 709.245072093
(342, 418) (342, 419) 444.088
(342, 418) (341, 417) 628.035272487
(342, 418) (341, 418) 444.088
As can be seen in the above example, the coordinate values in parentheses specify the x and y position of a node within the graph. The first node value repeats eight times ("(33, 440)" in this case) because it defines edge values in each cardinal direction and on the diagonal. I am trying to calculate current flow with NetworkX's edge_current_flow_betweenness_centrality() function for this dataset but have been unable to produce a result. Any thoughts on how to create an output? For this analysis I am using Python 27.
Thanks in advance for any help!
python python-2.7 networkx graph-theory
I have a NetworkX dataset ordered in such a way that specifies NodeCoordinate-NodeCoordinate-EdgeWeight. An example of the dataset is provided below:
(33, 440) (33, 441) 494.416
(33, 440) (33, 439) 494.688
(33, 440) (32, 441) 708.707670939
(33, 440) (32, 440) 501.896
(33, 440) (34, 439) 680.836350052
(33, 440) (34, 441) 681.679221335
(33, 440) (34, 440) 482.684
(33, 440) (32, 439) 709.245072093
(342, 418) (342, 419) 444.088
(342, 418) (341, 417) 628.035272487
(342, 418) (341, 418) 444.088
As can be seen in the above example, the coordinate values in parentheses specify the x and y position of a node within the graph. The first node value repeats eight times ("(33, 440)" in this case) because it defines edge values in each cardinal direction and on the diagonal. I am trying to calculate current flow with NetworkX's edge_current_flow_betweenness_centrality() function for this dataset but have been unable to produce a result. Any thoughts on how to create an output? For this analysis I am using Python 27.
Thanks in advance for any help!
python python-2.7 networkx graph-theory
python python-2.7 networkx graph-theory
asked Nov 10 at 22:59
Zach
32
32
When you say "create an output", can you be more specific about what output you want?
– Joel
Nov 11 at 0:07
@Joel thanks for commenting. Simply put, I do not know how to properly put this dataset in to NetworkX to have it calculate current flow.
– Zach
Nov 11 at 0:10
I should say that I do not know how to put the information in to Python to have NetworkX calculate calculate current flow.
– Zach
Nov 13 at 2:34
add a comment |
When you say "create an output", can you be more specific about what output you want?
– Joel
Nov 11 at 0:07
@Joel thanks for commenting. Simply put, I do not know how to properly put this dataset in to NetworkX to have it calculate current flow.
– Zach
Nov 11 at 0:10
I should say that I do not know how to put the information in to Python to have NetworkX calculate calculate current flow.
– Zach
Nov 13 at 2:34
When you say "create an output", can you be more specific about what output you want?
– Joel
Nov 11 at 0:07
When you say "create an output", can you be more specific about what output you want?
– Joel
Nov 11 at 0:07
@Joel thanks for commenting. Simply put, I do not know how to properly put this dataset in to NetworkX to have it calculate current flow.
– Zach
Nov 11 at 0:10
@Joel thanks for commenting. Simply put, I do not know how to properly put this dataset in to NetworkX to have it calculate current flow.
– Zach
Nov 11 at 0:10
I should say that I do not know how to put the information in to Python to have NetworkX calculate calculate current flow.
– Zach
Nov 13 at 2:34
I should say that I do not know how to put the information in to Python to have NetworkX calculate calculate current flow.
– Zach
Nov 13 at 2:34
add a comment |
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When you say "create an output", can you be more specific about what output you want?
– Joel
Nov 11 at 0:07
@Joel thanks for commenting. Simply put, I do not know how to properly put this dataset in to NetworkX to have it calculate current flow.
– Zach
Nov 11 at 0:10
I should say that I do not know how to put the information in to Python to have NetworkX calculate calculate current flow.
– Zach
Nov 13 at 2:34