ukbiobank, Twitter, 6/18/2019 3:42:59 PM, 200363


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ukbiobank Twitter NodeXL SNA Map and Report for Tuesday, 18 June 2019 at 15:28 UTC
ukbiobank Twitter NodeXL SNA Map and Report for Tuesday, 18 June 2019 at 15:28 UTC
From:
marc_smith
Uploaded on:
June 18, 2019
Short Description:
ukbiobank via NodeXL http://bit.ly/2XQiQfL
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Description:
Description
The graph represents a network of 86 Twitter users whose recent tweets contained "ukbiobank", 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 15:28 UTC.

The tweets in the network were tweeted over the 9-day, 7-hour, 23-minute period from Sunday, 09 June 2019 at 07:03 UTC to Tuesday, 18 June 2019 at 14:26 UTC.

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.


[0] Words in Sentiment List#1: Positive
[0] Words in Sentiment List#2: Negative
[0] Words in Sentiment List#3: Angry / Violent
[0] Non-categorized Words
[0] Total Words

Author Description


Overall Graph Metrics
Vertices : 86
Unique Edges : 113
Edges With Duplicates : 9
Total Edges : 122
Self-Loops : 10
Reciprocated Vertex Pair Ratio : 0.0679611650485437
Reciprocated Edge Ratio : 0.127272727272727
Connected Components : 10
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 49
Maximum Edges in a Connected Component : 70
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.33081
Graph Density : 0.0150478796169631
Modularity : 0.703138
NodeXL Version : 1.0.1.413

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters

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