The graph represents a network of 4,814 Twitter users whose recent tweets contained "PPE", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 09:47 UTC.
The tweets in the network were tweeted over the 1110-day, 6-hour, 42-minute period from Wednesday, 01 January 2020 at 18:17 UTC to Monday, 16 January 2023 at 01:00 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.
Author Description
Vertices : 4814
Unique Edges : 1659
Edges With Duplicates : 10365
Total Edges : 12024
Number of Edge Types : 9
Retweet : 4536
MentionsInRetweet : 5338
Replies to : 520
MentionsInReplyTo : 1062
Tweet : 299
Mentions : 106
Quote : 41
MentionsInQuote : 24
MentionsInQuoteReply : 98
Self-Loops : 380
Reciprocated Vertex Pair Ratio : 0.00910661014287957
Reciprocated Edge Ratio : 0.0180488563871169
Connected Components : 296
Single-Vertex Connected Components : 64
Maximum Vertices in a Connected Component : 3771
Maximum Edges in a Connected Component : 9996
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.860499
Graph Density : 0.000277387158843359
Modularity : 0.453691
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,814 Twitter users whose recent tweets contained "PPE", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 09:47 UTC.
The tweets in the network were tweeted over the 1110-day, 6-hour, 42-minute period from Wednesday, 01 January 2020 at 18:17 UTC to Monday, 16 January 2023 at 01:00 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 : TwitterSearch2
Graph Term : PPE
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 Domains
Top Word Pairs in Tweet in Entire Graph:
[1678] tory,donor [1636] deliver,ppe [1509] million,government [1509] 93,million [1509] 400,000 [1390] conservative,party [1369] donated,more [1369] company,donated [1369] more,400 [1369] party,received Top Word Pairs in Tweet in G1:
[1027] 93,million [1027] 400,000 [1027] million,government [1025] received,93 [1025] more,400 [1025] conservative,party [1025] donated,more [1025] party,received [1025] 000,conservative [1025] company,donated Top Word Pairs in Tweet in G2:
[704] tory,donor [700] deliver,ppe [699] 11million,deliver [696] firm,paid [696] mirrorpolitics,tory [695] getting,5million [695] paid,11million [695] donor,firm [695] 5million,incinerate [695] ppe,getting Top Word Pairs in Tweet in G3:
[220] tory,donor [161] 93,million [161] 400,000 [161] million,government [157] 000,000 [153] unfit,purpose [153] given,11 [151] ppe,unfit [151] ppe,ppe [151] purpose,destroyed Top Word Pairs in Tweet in G4:
[370] tory,donor [338] deliver,ppe [322] paid,millions [318] during,pandemic [312] paid,11m [311] top,tory [311] ppe,kits [311] donor,paid [311] founded,top [311] company,founded Top Word Pairs in Tweet in G5:
[266] deliver,ppe [254] firm,paid [250] paid,11m [250] 11m,deliver [239] gets,5m [239] donor's,firm [239] tory,donor's [230] 5m,destroy [230] ppe,gets [229] bottom,barrel Top Word Pairs in Tweet in G6:
[163] pay,nurses [161] track,trace [161] magic,money [161] nurses,baroness [161] dido,37billion [161] baroness,dido [161] told,magic [161] money,tree [161] 37billion,failed [161] failed,track Top Word Pairs in Tweet in G7:
[118] tory,donor [95] ppe,contracts [95] dodgy,ppe [94] steve,parkin [94] donor,steve [94] corruption,tory [94] tories,linked [94] linked,dodgy [94] once,again [94] again,tories Top Word Pairs in Tweet in G8:
[41] tory,donor [36] tory,party [30] given,11 [28] steve,parkin [28] donor,steve [28] friend,tory [28] party,given [28] 000,tory [28] 730,000 [28] parkin,donated Top Word Pairs in Tweet in G9:
[72] paid,11m [72] deliver,ppe [72] money,destroy [72] tory,donor's [72] 11m,deliver [72] taxpayer,money [72] ppe,gets [72] donor's,firm [72] make,tory [72] firm,paid Top Word Pairs in Tweet in G10:
[14] і,не [13] format_ppe,я [8] не,читав [8] ніколи,не [7] не,читала [5] не,дивилась [5] не,дивилася [5] format_ppe,не [5] не,дивився [4] format_ppe,а Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: