The graph represents a network of 5,356 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 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 10:36 UTC.
The tweets in the network were tweeted over the 1100-day, 5-hour, 44-minute period from Tuesday, 04 February 2020 at 19:15 UTC to Thursday, 09 February 2023 at 00:59 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 : 5356
Unique Edges : 2715
Edges With Duplicates : 10785
Total Edges : 13500
Number of Edge Types : 9
Retweet : 3529
MentionsInRetweet : 4547
Replies to : 1293
MentionsInReplyTo : 2801
Mentions : 264
Tweet : 730
Quote : 126
MentionsInQuote : 156
MentionsInQuoteReply : 54
Self-Loops : 929
Reciprocated Vertex Pair Ratio : 0.0269360269360269
Reciprocated Edge Ratio : 0.0524590163934426
Connected Components : 671
Single-Vertex Connected Components : 257
Maximum Vertices in a Connected Component : 3099
Maximum Edges in a Connected Component : 8855
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.726051
Graph Density : 0.000233949691402575
Modularity : 0.483158
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,356 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 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 10:36 UTC.
The tweets in the network were tweeted over the 1100-day, 5-hour, 44-minute period from Tuesday, 04 February 2020 at 19:15 UTC to Thursday, 09 February 2023 at 00:59 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:
[760] eastern,cape [605] former,eastern [602] personal,protective [594] department,health [591] charges,relating [591] cape,department [569] rsasiu,siu [564] health,messenger [562] siu,welcomes [561] jailing,former Top Word Pairs in Tweet in G1:
[715] eastern,cape [593] former,eastern [588] cape,department [588] department,health [587] charges,relating [567] rsasiu,siu [561] health,messenger [559] welcomes,jailing [559] siu,welcomes [559] jailing,former Top Word Pairs in Tweet in G2:
[204] covid,ward [202] dr,sister [202] sister,banned [202] wearing,ffp [202] handed,spare [202] angry,comment [202] banned,wearing [202] ward,handed [202] comment,dr [202] prev,angry Top Word Pairs in Tweet in G3:
[178] #generalelectionnow,#enoughisenough [176] #greencard,infosys [176] #nondom,#greencard [176] infosys,#russia [175] #enoughisenough,#nondom [175] need,#generalelectionnow [175] #russia,#moderna [174] #moderna,#gove [153] #michellemone,#ppe [153] #gove,#michellemone Top Word Pairs in Tweet in G4:
[194] 109m,report [194] pandemic,profits [194] fund,sees [194] report,goodlawproject [194] profits,soar [194] soar,109m [194] sunak,linked [194] linked,hedge [194] sees,pandemic [194] hedge,fund Top Word Pairs in Tweet in G5:
[83] بخدمتكم,24 [83] منزلي,فندقي [83] فلبيني,نسعد [83] الان,راحة [83] جدة,الرياض [83] أفضل,مختص [83] 24,ساعة [83] مباراة,وسائل [83] في,الرياض [83] داخل,مدينة Top Word Pairs in Tweet in G6:
[41] format_ppe,за [16] format_ppe,бог [14] за,те [13] те,що [11] не,карає [8] і,не [8] format_ppe,бо [8] за,тупість [7] бог,не [7] самі,себе Top Word Pairs in Tweet in G7:
[155] ppe,fraud [153] people,including [153] over,29m [153] including,husband [153] fraud,gosh [153] arrested,over [153] wife,arrested [153] three,people [153] husband,wife [153] 29m,ppe Top Word Pairs in Tweet in G8:
[102] george,freeman [54] ministerial,code [54] anti,corruption [53] uk,anti [53] 2021,investigated [53] breaking,ministerial [53] corruption,watchdog [53] investigated,uk [53] freeman,2021 [53] watchdog,breaking Top Word Pairs in Tweet in G9:
[86] 19,wards [86] covid,19 [85] working,covid [85] staff,working [83] face,piece [83] upgraded,face [83] hospital,cambridge [83] cambridge,upgraded [83] filtering,face [83] wards,filtering Top Word Pairs in Tweet in G10:
[14] parlement,européen [8] échanger,manfredweber [8] hanane_mnsr,particulier [8] cette,belle [8] beaucoup,fxbellamy [8] fxbellamy,guilhemcarayon [8] bruxelles,guilhemcarayon [8] rdj,visiter [8] guilhemcarayon,rdj [8] visiter,parlement 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 G9:
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: