Datasets/ code for the "Social Network Analysis" topic
Network files from "Social Networks for Startups": https://github.com/maksim2042/SNABook
ACME_advice.net:
- ACME Consulting Org. Chart—Informal Network ACME_orgchart.net:
- ACME Consulting org chart (formal network)
Python notebooks for the ACME use case:
ACME_org.ipynb:
- Python notebook for generating the organizational graph.
ACME_advice.ipynb:
- Python notebook for generating the informal network graph.
Code and data for the meetup graph use case:
rdacb.getusers.R:
- (Modified) script for downloading meetup group members, from: https://github.com/PacktPublishing/R-Data-Analysis-Cookbook-Second-Edition
groups.json, groups_bcn.json:
- Meetup groups satisfying a certain criteria, acquired through a request to the meetup API.
meetup_users.Rdata, meetup_bcn_users.Rdata:
- Data frame containing the members of each group.
users_edgelist_upper.Rdata:
directed-graph.Rdata:
- Directed graph data from meetup filtered dataset
undirected-graph.Rdata:
- Undirected graph data from meetup filtered dataset
retweet-graph.Rdata:
- Graph of retweets
miserables_result.gexf.zip:
- Network representing "who appears next to whom" in the 19th century novel Les Misérables by Victor Hugo. https://seinecle.github.io/gephi-tutorials/
airlines-sample.gefx:
- Network with airline data, representing connections between airports. https://raw.githubusercontent.com/gephi/gephi.github.io/master/datasets/airlines-sample.gexf