1.4 Temporal Network Analysis and Visualisation in pathpy

[bm-1961]

The tutorials look amazing and are the kind of content I wish all packages have, unfortunately I am unable to run many of them.

Are lots of the functions now out of date?

For instance, the second chunk of code does not run as in the tutorial.

It can be made to run with the following, but the output is different:

t.add_edge('a', 'b',ts= 1)
t.add_edge('b', 'a',ts= 2)
t.add_edge('b', 'c',ts= 3)
t.add_edge('d', 'c',ts= 4)
t.add_edge('c', 'd',ts= 5)
t.add_edge('c', 'b',ts= 6)
print(t)

[IngoScholtes]

Dear Ben

Thanks for the kind words. Indeed those tutorials were created for an older version of pathpy and a lot has changed since then.

We are actually currently working on the release of pathpy3 and we are just now migrating the tutorials. Chances are that you were trying to run the older tutorials (created for pathpy2) on pathpy3? The basic tutorials for pathpy3 are working and you can also run the notebooks on Google Colab.

Feel free to have a look here.

Don't hesitate to get in touch if you need help.

[bm-1961]

Thanks so much. I was hoping to create a temporal graph out of the attached CSV – a collection of edges and dates. Do you have any code I might beg to follow along with as I can see the tutorial is still in development for this section. Unfortunately I am still a relative novice with Python so am unable to intuit this on my own. Sent from Mail<https://go.microsoft.com/fwlink/?LinkId=550986> for Windows 10 From: Ingo ***@***.***> Sent: 28 April 2021 02:06 To: ***@***.***> Cc: Ben ***@***.***>; ***@***.***> Subject: Re: [IngoScholtes/kdd2018-tutorial] 1.4 Temporal Network Analysis and Visualisation in pathpy (#5) Dear Ben Thanks for the kind words. Indeed those tutorials were created for an older version of pathpy and a lot has changed since then. We are actually currently working on the release of pathpy3 and we are just now migrating the tutorials. The basic turtorials are working and you can also run the notebooks on Google Colab. Feel free to have a look here<https://pathpy.github.io/tutorial.html>. Don't hesitate to get in touch if you need help. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub<#5 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AQDMUI6POHNG5OYHVWD37TTTK5NPFANCNFSM43VE5OVQ>.

[IngoScholtes]

Dear Ben

If you just want to read a temporal network from a data set, there's simpler ways to do this.

First, you can check whether your data set is included in the KONECT or netzschleuder databases. pathpy supports loading Temporal Networks from those repositories, so you won't even have to deal with file formats. For tutorials see:

Reading data from Netzschleuder
Reading data from KONECT

Within the next few days, we will also add a tutorial on how to read temporal networks from CSV files. There's a function for that in the pathpy.io.csv module. This function should be what you need. I will complete the documentation of that later today.