Description

The graph represents a network of 4,125 Twitter users whose recent tweets contained "#4IR", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 08 June 2019 at 19:39 UTC.



The tweets in the network were tweeted over the 9-day, 17-hour, 2-minute period from Thursday, 30 May 2019 at 01:53 UTC to Saturday, 08 June 2019 at 18:55 UTC.



Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.



There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".



The graph is directed.



The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.



The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.





Author Description

Overall Graph Metrics

Vertices : 4125

Unique Edges : 8064

Edges With Duplicates : 6931

Total Edges : 14995

Self-Loops : 903

Reciprocated Vertex Pair Ratio : 0.0201719576719577

Reciprocated Edge Ratio : 0.0395461912479741

Connected Components : 303

Single-Vertex Connected Components : 172

Maximum Vertices in a Connected Component : 3349

Maximum Edges in a Connected Component : 13827

Maximum Geodesic Distance (Diameter) : 25

Average Geodesic Distance : 4.616559

Graph Density : 0.00054404373512036

Modularity : 0.417513

NodeXL Version : 1.0.1.413





Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality

Top URLs

Top Domains

Top Words

Top Word Pairs

Top Replied-To

Top Mentioned

Top Tweeters