Change point detection: Inferring the mesoscale structure of layered, edge-valued, and time-varying networks

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Change point detection: Inferring the mesoscale structure of layered, edge-valued, and time-varying networks

rezccy
Hi,

In the paper "Inferring the mesoscale structure of layered, edge-valued, and
time-varying networks", you described the procedure of finding change points
in layered networks. I am wondering if this function is implemented in the
graph-tool library? I can't seem to find this implementation in the
documentation.

Many thanks.
Rex



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Re: Change point detection: Inferring the mesoscale structure of layered, edge-valued, and time-varying networks

Tiago Peixoto
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Am 02.06.20 um 21:53 schrieb rezccy:
> Hi,
>
> In the paper "Inferring the mesoscale structure of layered, edge-valued, and
> time-varying networks", you described the procedure of finding change points
> in layered networks. I am wondering if this function is implemented in the
> graph-tool library? I can't seem to find this implementation in the
> documentation.

Unfortunately, this is not currently automatized in graph_tool. It has
been in my todo list for a long time, but I never manage to get to it.
Sorry!

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Re: Change point detection: Inferring the mesoscale structure of layered, edge-valued, and time-varying networks

rezccy
Dear Tiago,

Thanks very much for your response. In this case, is there a manual way to
achieve the task? In the paper it was mentioned that change point detection
is essentially looking for the suitable binning of the layered graph, where
we would use the set the time points as the edge covariates. I can't seem to
find the corresponding function to perform binning of layered graphs by edge
covariates. Would you kindly show me the appropriate function for this task?

Many thanks.
Rex



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Re: Change point detection: Inferring the mesoscale structure of layered, edge-valued, and time-varying networks

Tiago Peixoto
Administrator
Am 11.06.20 um 01:13 schrieb rezccy:
> Dear Tiago,
>
> Thanks very much for your response. In this case, is there a manual way to
> achieve the task? In the paper it was mentioned that change point detection
> is essentially looking for the suitable binning of the layered graph, where
> we would use the set the time points as the edge covariates. I can't seem to
> find the corresponding function to perform binning of layered graphs by edge
> covariates. Would you kindly show me the appropriate function for this task?


As I said before, this is not yet implemented. You will have to do the
binning yourself. But it's not that difficult...

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