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Hi. We found this work by accident and appreciate you making these generated datasets publicly available. We are in need of large-scale temporal synthetic graphs to evaluate our system for dynamic graphs. The largest dataset we only found in the repo is SF1000, but we would like to have a larger graph. The SF3000 and SF10000 datasets are mentioned in the paper, but I could not find the links in this repo. Is there a download link for these two datasets? Thanks!

Using curl I receive a small invalid file and when attempting to click the link via README I receive a 500 error.

Hi,
I am unable to download files or request them as I am not affiliated with any of the institutes mentioned on the login site on SURF. Please let me know how I can access the files.

Thank you

Hi,

Certain Social Network Benchmark csv file have duplicate header names, which can complicate parsing. I am looking for suggestions.

Given the following data:

• Dataset: https://repository.surfsara.nl/datasets/cwi/snb/files/social_network-csv_basic/social_network-csv_basic-sf1.tar.zst
• File: dynamic/person_knows_person_0_0.csv (there are other multiple cases like this)

Person.id|Person.id|creationDate
933|4139|2010-03-13T07:37:21.718+0000
...

We run this snippet:

import csv
filepath = 'social_network-csv_basic-sf1/dynamic/person_knows_person_0_0.csv'
with open(filepath, "r") as f:
    data = csv.DictReader(f, delimiter="|")
    for d in data:
        print(d)

And observe the following:

{'Person.id': '4139', 'creationDate': '2010-03-13T07:37:21.718+0000'}

Notice how Person.id 933 no longer exists.

Looking for suggestions.

The Substitution parameters currently only contain the BI and IC parameters but not the Interactive Short query parameters. Are there any current suggestions for those when using the surf datasets?

I keep recieving this error when trying to download the files:
{ code: 500, error: "Internal error, if the problem persists please contact [email protected]" }

Datasets with the same scale factor and serializer but different date formatter have different contents.

For example, the csv_basic dataset with the string date formatter has 14074 knows edges but the csv_basic dataset with the long date formatter has 18075 knows edges:

% wc -l social_network-csv_basic-sf0.1/dynamic/person_knows_person_0_0.csv 
   14074 social_network-csv_basic-sf0.1/dynamic/person_knows_person_0_0.csv
% wc -l social_network-csv_basic-longdateformatter-sf0.1/dynamic/person_knows_person_0_0.csv
   18075 social_network-csv_basic-longdateformatter-sf0.1/dynamic/person_knows_person_0_0.csv

It looks like the link for data set with scale factor 1000 is not working
https://repository.surfsara.nl/datasets/cwi/snb/files/social_network-csv_basic/social_network-csv_basic-sf1000.tar.zst

Could you help fix? cc @szarnyasg