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Re: Topological Overlap

Started bylavanya addepalli <phani.lav@gmail.com>
First post2014-08-16 20:10 +0200
Last post2014-08-18 15:17 +1000
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  Re: Topological Overlap lavanya addepalli <phani.lav@gmail.com> - 2014-08-16 20:10 +0200
    Re: Topological Overlap alex23 <wuwei23@gmail.com> - 2014-08-18 15:17 +1000

#76408 — Re: Topological Overlap

Fromlavanya addepalli <phani.lav@gmail.com>
Date2014-08-16 20:10 +0200
SubjectRe: Topological Overlap
Message-ID<mailman.13052.1408212629.18130.python-list@python.org>

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Hello

It is not a homework really.
Actually it is a huge project and topological overlap is one part in that

inputfile:

0_node_1  0_node_2 w0
1_node_1  1_node_2 w1
2_node_1  2_node_2 w2
3_node_1  3_node_2 w3
4_node_1  4_node_2 w4
5_node_1  5_node_2 w5

2 nodes in pair and w is the weight. I have to find the topological overlap
in the network including the weights



On Sat, Aug 16, 2014 at 7:59 PM, George Silva <georger.silva@gmail.com>
wrote:

> Homework?
>
> You need to give us a start, sample of the data and an actual question. I
> don't think many people will help you do your homework for you.
>
>
> On Sat, Aug 16, 2014 at 7:32 AM, lavanya addepalli <phani.lav@gmail.com>
> wrote:
>
>> Hello
>>
>> I have a file with network node pairs and weights as time difference
>> I am trying to find the topological overlap of that data
>>
>> I have been searching for any sample in python but i dont seem to find
>> any.
>>
>> Any suggestion in start with are appreciated
>>
>>
>> Thanks
>> Lav
>>
>> --
>> https://mail.python.org/mailman/listinfo/python-list
>>
>>
>
>
> --
> George R. C. Silva
> SIGMA Consultoria
> ----------------------------
> http://www.consultoriasigma.com.br/
>

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#76453

Fromalex23 <wuwei23@gmail.com>
Date2014-08-18 15:17 +1000
Message-ID<lss28g$ua1$1@dont-email.me>
In reply to#76408
On 17/08/2014 4:10 AM, lavanya addepalli wrote:
> Actually it is a huge project and topological overlap is one part in that
>
> inputfile:
>
> 0_node_1  0_node_2 w0
> 1_node_1  1_node_2 w1
> 2_node_1  2_node_2 w2
> 3_node_1  3_node_2 w3
> 4_node_1  4_node_2 w4
> 5_node_1  5_node_2 w5
>
> 2 nodes in pair and w is the weight. I have to find the topological
> overlap in the network including the weights

Have you looked at the library NetworkX? I'd start by loading your data 
into a weighted graph and working from there:

https://networkx.github.io/documentation/latest/examples/drawing/weighted_graph.html

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