computing_cccu, Twitter, 3/9/2021 11:29:58 AM, 250407


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computing_cccu Twitter NodeXL SNA Map and Report for Tuesday, 09 March 2021 at 11:27 UTC
computing_cccu Twitter NodeXL SNA Map and Report for Tuesday, 09 March 2021 at 11:27 UTC
From:
scottturneruon
Uploaded on:
March 09, 2021
Short Description:
computing_cccu via NodeXL https://bit.ly/3em33QU
@cccuedgehub
@scottturneruon
@colinnwalker
@cccu_culture
@anortcliffe
@cccustudents
@canterburyccuni
@computing_cccu

Top hashtags:
#caschat
#choosetochallenge
#iwed

Description:
Description
The graph represents a network of 8 Twitter users whose recent tweets contained "computing_cccu", 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, 09 March 2021 at 11:27 UTC.

The tweets in the network were tweeted over the 4-day, 2-hour, 43-minute period from Thursday, 04 March 2021 at 11:49 UTC to Monday, 08 March 2021 at 14:32 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 Fruchterman-Reingold layout algorithm.


Author Description


Overall Graph Metrics
Vertices : 8
Unique Edges : 19
Edges With Duplicates : 14
Total Edges : 33
Number of Edge Types : 4
Retweet : 4
MentionsInRetweet : 17
Mentions : 10
Replies to : 2
Self-Loops : 0
Reciprocated Vertex Pair Ratio : 0.130434782608696
Reciprocated Edge Ratio : 0.230769230769231
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 8
Maximum Edges in a Connected Component : 33
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.03125
Graph Density : 0.464285714285714
Modularity : 0.211203
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 8 Twitter users whose recent tweets contained "computing_cccu", 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, 09 March 2021 at 11:27 UTC.

The tweets in the network were tweeted over the 4-day, 2-hour, 43-minute period from Thursday, 04 March 2021 at 11:49 UTC to Monday, 08 March 2021 at 14:32 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".

Layout Algorithm : The graph was laid out using the Fruchterman-Reingold layout algorithm.
Graph Source : TwitterSearch
Graph Term : computing_cccu
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 Domains
Top Domains in Tweet in Entire Graph:
[4] blogspot.com

Top Domains in Tweet in G1:
[4] blogspot.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2] caschat
[1] choosetochallenge
[1] iwed



Top Hashtags in Tweet in G1:
[2] caschat
[1] choosetochallenge
[1] iwed

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