User List, Twitter, 2/12/2022 5:43:38 PM, 271600


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Twitter Users User List
Twitter Users User List
From:
scottturneruon
Uploaded on:
February 12, 2022
Short Description:
User List via NodeXL https://bit.ly/34SbPTU
@canterburyccuni
@slswirral
@cathspence8
@codeclub
@stemhub_se
@bifa_film
@nihrresearch
@screensouth
@paulinemclynn1
@cburyanifest

Top hashtags:
#cccuproud
#hellochristchurch
#cccuallofus
#cccu
#cccuopenday
#cccugraduation

Description:
Description
The graph represents a network of 1 specified Twitter user (User List). The network was obtained from Twitter on Saturday, 12 February 2022 at 17:17 UTC.

It shows who was mentioned or replied to in the users' recent tweets.

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 : 1121
Unique Edges : 692
Edges With Duplicates : 3978
Total Edges : 4670
Number of Edge Types : 5
Mentions : 1391
MentionsInRetweet : 725
Retweet : 778
Replies to : 656
Tweet : 1120
Self-Loops : 1122
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1121
Maximum Edges in a Connected Component : 4670
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.996433
Graph Density : 0.000892060660124889
Modularity : 0.182367
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1 specified Twitter user (User List). The network was obtained from Twitter on Saturday, 12 February 2022 at 17:17 UTC.

It shows who was mentioned or replied to in the users' recent tweets.

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterUsers
Graph Term : User List
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[7] https://www.canterbury.ac.uk/about-us/coronavirus/coronavirus-advice-and-guidance.aspx
[7] http://cccu.co/oORM50vwBao
[4] http://www.instagram.com/canterburyccuni
[4] https://ccsu.co.uk/hello/freshers-fayre/
[4] http://cccu.co/hdcf50DAE19
[4] http://cccu.co/C8yg50Abm1E
[4] http://cccu.co/wGRH50vwBeF
[4] http://ow.ly/aFDD50vy0zu
[3] https://blogs.canterbury.ac.uk/library/black-lives-matter-essential-reading/
[3] https://blogs.canterbury.ac.uk/expertcomment/

Top URLs in Tweet in G1:
[7] http://cccu.co/oORM50vwBao
[7] https://www.canterbury.ac.uk/about-us/coronavirus/coronavirus-advice-and-guidance.aspx
[4] http://www.instagram.com/canterburyccuni
[4] http://ow.ly/aFDD50vy0zu
[4] http://cccu.co/wGRH50vwBeF
[4] http://cccu.co/C8yg50Abm1E
[4] http://cccu.co/hdcf50DAE19
[4] https://ccsu.co.uk/hello/freshers-fayre/
[3] http://ow.ly/qo7c50vybLY
[3] https://blogs.canterbury.ac.uk/expertcomment/

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[437] cccuproud
[188] hellochristchurch
[149] cccuallofus
[128] cccu
[86] cccuopenday
[84] cccugraduation
[73] cccubh365
[69] clearing
[53] canterbury
[49] choosecccu



Top Hashtags in Tweet in G1:
[437] cccuproud
[188] hellochristchurch
[149] cccuallofus
[128] cccu
[86] cccuopenday
[84] cccugraduation
[73] cccubh365
[69] clearing
[53] canterbury
[49] choosecccu

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

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