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#UKBCONF19_2019-06-18_12-16-12.xlsx (experimental version)
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Connected Action NodeXL-Reports
Uploaded on:
June 18, 2019
The graph represents a network of 18 Twitter users whose recent tweets contained "#UKBCONF19", 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 Tuesday, 18 June 2019 at 19:16 UTC.

The tweets in the network were tweeted over the 6-day, 7-hour, 52-minute period from Wednesday, 12 June 2019 at 09:00 UTC to Tuesday, 18 June 2019 at 16:52 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 : 18
Unique Edges : 18
Edges With Duplicates : 6
Total Edges : 24
Self-Loops : 4
Reciprocated Vertex Pair Ratio : 0.0555555555555556
Reciprocated Edge Ratio : 0.105263157894737
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 18
Maximum Edges in a Connected Component : 24
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.777778
Graph Density : 0.0620915032679739
Modularity : 0.207899
NodeXL Version :

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top Domains
Top Domains in Tweet in Entire Graph:

Top Domains in Tweet in G1:

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[8] ukbconf19
[2] research
[1] ukbiobank
[1] bigdata
[1] health

Top Hashtags in Tweet in G1:
[7] ukbconf19
[1] bigdata
[1] health
[1] research

Top Hashtags in Tweet in G2:
[1] ukbiobank
[1] research
[1] ukbconf19

Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters