The graph represents a network of 6,164 Twitter users whose recent tweets contained "Coronavirus", 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 09:52 UTC.
The tweets in the network were tweeted over the 1110-day, 12-hour, 22-minute period from Sunday, 26 January 2020 at 12:38 UTC to Friday, 10 February 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 : 6164
Unique Edges : 4086
Edges With Duplicates : 10135
Total Edges : 14221
Number of Edge Types : 9
Retweet : 3347
MentionsInRetweet : 4473
Replies to : 1162
MentionsInReplyTo : 3149
Tweet : 1370
Mentions : 486
MentionsInQuoteReply : 92
Quote : 81
MentionsInQuote : 61
Self-Loops : 1927
Reciprocated Vertex Pair Ratio : 0.0306181398035817
Reciprocated Edge Ratio : 0.0594170403587444
Connected Components : 1339
Single-Vertex Connected Components : 553
Maximum Vertices in a Connected Component : 1687
Maximum Edges in a Connected Component : 4491
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 8.795462
Graph Density : 0.00018784517472181
Modularity : 0.520263
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,164 Twitter users whose recent tweets contained "Coronavirus", 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 09:52 UTC.
The tweets in the network were tweeted over the 1110-day, 12-hour, 22-minute period from Sunday, 26 January 2020 at 12:38 UTC to Friday, 10 February 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 : Coronavirus
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:
[466] covid,19 [442] state,department [436] department,fund [424] dangerous,research [423] attempt,hide [423] role,funding [423] hide,agency's [423] agency's,role [423] fauci's,attempt [423] funding,dangerous Top Word Pairs in Tweet in G1:
[114] covid,19 [40] #coronavirus,#covid19 [25] 02,09 [20] 2023,02 [19] 19,data [18] #covid19,#covid_19 [18] data,2023 [17] pm,#coronavirus [16] #covid19,#coronavirus [15] sars,cov Top Word Pairs in Tweet in G2:
[412] emails,revealed [412] fauci's,attempt [412] hide,agency's [412] role,funding [412] agency's,role [412] funding,dangerous [412] revealed,fauci's [412] dangerous,research [412] attempt,hide [289] johnson,emails Top Word Pairs in Tweet in G3:
[285] coronavirus,research [285] research,china [285] state,dept [284] spox,know [284] china,state [284] fund,coronavirus [284] dept,spox [284] department,fund [284] state,department [284] randpaul,state Top Word Pairs in Tweet in G4:
[148] lab,leak [143] state,department [142] department,fund [140] senrandpaul,evidence [140] suggests,originated [140] originated,lab [140] evidence,suggests [140] leak,wuhan [140] wuhan,state [139] dailycaller,senrandpaul Top Word Pairs in Tweet in G5:
[135] die,pandemie [133] pandemie,pandemie [117] drei,jahren [117] die,welt [116] welt,hereinbrach [116] pandemie,die [116] die,#covid19 [116] jahren,die [116] #covid19,pandemie [116] pandemie,drei Top Word Pairs in Tweet in G6:
[104] masks,prevent [104] coronavirus,rwalensky [104] prevent,spread [104] boxes,masks [104] spread,coronavirus [103] thevivafrei,boxes [18] homes,accused [18] using,powerful [18] use,rocketed [18] rocketed,100 Top Word Pairs in Tweet in G7:
[2] jeffbernard1,navybrat59 [2] jonathanmulroo2,jasonwwalton1 [2] carlsmythe,real_seeking [2] mhunt081266,virus [2] jiminyc24,rw_christian [2] thisisnothappen,kitty_grayling [2] golfergirl2018,carydavid722 [2] ram0667,girl_pilled [2] sertophamhatt,mcfunny [2] real_seeking,mattyboysmit1 Top Word Pairs in Tweet in G8:
[32] covid,something [32] todayshow,piece [32] morning,cardiovascular [32] effects,covid [32] piece,morning [32] something,re [32] cardiovascular,effects [31] calirunnerdoc,todayshow [31] re,discov [16] covid,19 Top Word Pairs in Tweet in G9:
[5] mrna,vaccine [4] sama,pmarca [4] erikbryn,chrmanning [4] tedlieu,karaswisher [4] guilu_long,zhaliyou [4] chinaambun,huxijin_gt [4] suspension,covid [4] albertwenger,_karenhao [4] profklausschwab,ambqingang [4] gdb,alwaleed_talal Top Word Pairs in Tweet in G10:
[5] covid,vax [5] admitted,covid [5] years,demanding [5] fauci,admitted [5] vax,fauci [5] demanding,vax [4] many,people [4] atrupar,people [4] lymphomas,high [4] march,2020 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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:
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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: