Budapest Data Community Overview

Notebooks

The main notebook is the Budapest Data Meetups.ipynb.
There is another notebook (Budapest-Meetup-Members-Graph.ipynb) that creates the graph data. Feel free to add your own notebooks.

Crawler

The crawler is written in python. To install the dependencies run pip:

pip install -r requirements.txt

For usage information on the crawler, use the help.

$ python3 crawl.py -h
usage: crawl.py [-h] --apikey APIKEY {groups,members}

Meetup API Crawler

positional arguments:
  {groups,members}  The crawl command to execute

  optional arguments:
        -h, --help        show this help message and exit
        --apikey APIKEY   Meetup API Key. Check:
                      https://secure.meetup.com/meetup_api/key/

To query the meetup API, you need an API key.

Example: To crawl the members for the data meetups into the members.csv file, run the following:

$ python3 crawl.py members --apikey [YOUR_API_KEY] > members.csv

Data

The following prepared data sets are available:

Meetup groups

All meetup groups in Budapest

Data: data/meetup_groups_budapest_all.csv

Headers:

rating,name,id,urlname,membership_count

Sample:

4.41;The Budapest New Technology Meetup Group;408089;newtech-42;4315
4.54;budapest.rb;1271139;budapest-rb;605
4.67;Budapest Science Meetup;1286482;BpScienceMeetup;1993

Data meetup groups in Budapest

Data: data/meetup_groups_budapest_data.csv

Headers:

rating,name,id,urlname,membership_count

Sample:

4.54;Budapest Data Science Meetup;1632914;budapest_data_science;2711
4.89;HUG-MSSQL;1757864;HUG-MSSQL;399
4.77;Hungarian Natural Language Processing Meetup;3418472;Hungarian-nlp;968

Graph of data meetup groups in Budapest

This graph contains meetup groups as nodes. The size of the nodes are the membership counts. The edges are common memberships, the Weight is the number of common members.

Members

Data meetup groups memberships

Data: data/members_budapest_data.csv

Headers:

country,city,joined,name,last_visited,id,group_urlname

Sample:

hu;Budapest;1464271220000;A. Asbot;1500461845000;186451270;budapest_data_science
hu;Budapest;1432103533000;A.J. Lumijärvi;1478694290000;186768573;budapest_data_science
hu;Budapest;1474229938000;Ábel Fóthi;1478776809000;151890652;budapest_data_science

Graph of data meetup memberships in Budapest

The nodes are users and they are conected if they are both members in at least 5 of the same groups.