The graph represents a network of 2,801 Twitter users whose recent tweets contained "Corruption", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 2,000 tweets, tweeted between 9/6/2023 4:14:13 PM and 9/13/2023 4:14:13 PM. The network was obtained from Twitter on Wednesday, 13 September 2023 at 09:45 UTC.
The tweets in the network were tweeted over the 3103-day, 23-hour, 47-minute period from Sunday, 15 March 2015 at 16:58 UTC to Wednesday, 13 September 2023 at 16:45 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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.
Vertices : 2801
Unique Edges : 2884
Edges With Duplicates : 298
Total Edges : 3182
Number of Edge Types : 9
Retweet : 1488
MentionsInRetweet : 282
Tweet : 381
Quote : 122
Replies to : 425
MentionsInReplyTo : 265
Mentions : 150
MentionsInQuote : 66
MentionsInQuoteReply : 3
Self-Loops : 484
Reciprocated Vertex Pair Ratio : 0.00387596899224806
Reciprocated Edge Ratio : 0.00772200772200772
Connected Components : 575
Single-Vertex Connected Components : 102
Maximum Vertices in a Connected Component : 423
Maximum Edges in a Connected Component : 550
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.089751
Graph Density : 0.000330239200285612
Modularity : Not Applicable
NodeXL Version : 1.0.1.521
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=292437
Data Import : The graph represents a network of 2,801 Twitter users whose recent tweets contained "Corruption", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 2,000 tweets, tweeted between 9/6/2023 4:14:13 PM and 9/13/2023 4:14:13 PM. The network was obtained from Twitter on Wednesday, 13 September 2023 at 09:45 UTC.
The tweets in the network were tweeted over the 3103-day, 23-hour, 47-minute period from Sunday, 15 March 2015 at 16:58 UTC to Wednesday, 13 September 2023 at 16:45 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : Corruption
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[139] impeachment,inquiry [102] corruption,fraud [96] carries,prison [96] fraud,criminal [96] writing,ppe [96] billions,article [96] sunak,writing [96] criminal,carries [96] article,corruption [96] ppe,billions Top Replied-To in Entire Graph:
Top Mentioned in Entire Graph:
Top Tweeters in Entire Graph: