meetup_dublin — Dublin Meetup groups co-membership network (2018)
- Description
A network of the public Meetup.com groups based in Dublin, Ireland, from Pakrashi et al. Meetup.com is an online platform for organizing in-person events ("meetups") of groups of people with shared interests. In September 2018, the authors used the Meetup.com API to list all the groups in Ireland, keeping the 1,482 public groups hosted in Dublin, and retrieved the members of each group. Each node is a group, and an undirected edge connects two groups that share at least one member, with a weight given by the Jaccard index of their member sets (the number of common members divided by the number of members of either group). The network is thus a weighted one-mode projection of the bipartite network of users and groups. One group shares no members with the others, and is an isolated node.
The network has the following properties:
- Nodes:
name, the name of the group;meetup_id, the Meetup.com identifier of the group;member_count, the number of members;join_mode, how new members join the group ("open" or "approval");description, the description of the group (as distributed, with punctuation removed);created, the date of creation of the group;categories, the list of Meetup.com categories of the group. - Edges:
weight, the Jaccard index of the member sets of the two groups.
- Nodes:
- Tags
- Social Online Projection Weighted Metadata
- Citation
-
- A. Pakrashi, E. Alghamdi, B. Mac Namee, D. Greene, "MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network." Proceedings of the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS) (2018) arXiv:1810.03046
- Upstream URL OK
- https://github.com/phoxis/MeetupNetDublin
- Networks
-
Tip: hover over a column header for a description.
Column legend
- $\left<k\right>$
- Mean degree
- $\sigma_k$
- Standard deviation of the degrees
- $\lambda_h$
- Largest eigenvalue of the Hashimoto (non-backtracking) matrix
- $\tau$
- Random walk mixing time
- $r$
- Degree assortativity
- $c$
- Global clustering coefficient
- $\oslash$
- (Pseudo-) diameter
- $S$
- Relative size of the largest component
- NPs
- Node properties
- EPs
- Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv meetup_dublin 1,482 708,163 955.69 315.35 1051.01 0.93 -0.15 0.78 4 1.00 Undirected Unipartite name meetup_id member_count join_mode description created categories weight 2.1 MiB 4.7 MiB 4.7 MiB 3.8 MiB