The graph represents a network of 6,910 Twitter users whose recent tweets contained "COVID", 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 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 08:03 UTC.
The tweets in the network were tweeted over the 1109-day, 2-hour, 25-minute period from Wednesday, 04 March 2020 at 21:34 UTC to Sunday, 19 March 2023 at 00:00 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 : 6910
Unique Edges : 3391
Edges With Duplicates : 11132
Total Edges : 14523
Number of Edge Types : 9
Replies to : 1418
MentionsInReplyTo : 2915
Retweet : 3852
MentionsInRetweet : 4494
Tweet : 1221
Quote : 147
Mentions : 381
MentionsInQuote : 67
MentionsInQuoteReply : 28
Self-Loops : 1536
Reciprocated Vertex Pair Ratio : 0.0230267720904425
Reciprocated Edge Ratio : 0.0450169491525424
Connected Components : 1266
Single-Vertex Connected Components : 238
Maximum Vertices in a Connected Component : 2905
Maximum Edges in a Connected Component : 7377
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 8.312672
Graph Density : 0.000154478763516368
Modularity : 0.524475
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,910 Twitter users whose recent tweets contained "COVID", 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 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 08:03 UTC.
The tweets in the network were tweeted over the 1109-day, 2-hour, 25-minute period from Wednesday, 04 March 2020 at 21:34 UTC to Sunday, 19 March 2023 at 00:00 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 : COVID
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:
[1041] covid,19 [239] long,covid [193] contra,covid [175] covid,vaccine [128] ワクチンをいちばん,打ち続けた日本が [128] 打ち続けた日本が,コロナに一番弱かった [127] jhmdrei,ワクチンをいちばん [107] story,covid [106] covid,arm [106] drene,keyes Top Word Pairs in Tweet in G1:
[125] covid,19 [99] drene,keyes [99] covid,arm [98] death,drene [98] keyes,usa [98] alert,twitter [98] twitter,vp [98] listed,death [98] arm,story [98] mtaibbi,first Top Word Pairs in Tweet in G2:
[46] covid,19 [13] long,covid [7] during,covid [6] lab,leak [6] duke,unc [5] due,covid [4] leak,theory [4] covid,vaccines [4] covid,pandemic [4] covid,test Top Word Pairs in Tweet in G3:
[88] covid,19 [76] spike,protein [67] jab,entirely [67] replaced,male [67] mrna,covid [67] 19,flu [67] flu,jab [67] male,sperm [67] entirely,replaced [67] protein,mrna Top Word Pairs in Tweet in G4:
[54] long,covid [33] covid,19 [25] died,covid [24] canadians,died [20] public,health [18] impossible,died [18] moment,sars2 [18] died,moment [18] less,covid [18] died,died Top Word Pairs in Tweet in G5:
[128] 打ち続けた日本が,コロナに一番弱かった [128] ワクチンをいちばん,打ち続けた日本が [127] jhmdrei,ワクチンをいちばん [48] 7ヵ月後にcovid,19に感染する確率が高くなると発表しました [48] 19に感染する確率が高くなると発表しました,もうこれでワクチンを接種する意味は全くなくなりました [48] 医学誌ランセットが,ワクチンを接種した人は接種しなかった人に比べて [48] もうこれでワクチンを接種する意味は全くなくなりました,つまりcovid [48] ワクチンを接種した人は接種しなかった人に比べて,7ヵ月後にcovid [47] kojikoj94192232,医学誌ランセットが [47] つまりcovid,19感染症が増えたのはワクチン Top Word Pairs in Tweet in G6:
[97] covid,ends [97] anxiety,covid [97] face,mask [97] ends,mask [97] mask,face [96] drsimonegold,anxiety [35] sweden,correct [34] article,lockdowns [34] telegraph,article [34] more,lockdown Top Word Pairs in Tweet in G7:
[169] covid,19 [108] contra,covid [103] luchado,contra [101] seguir,siendo [101] conscientes,salir [101] 19,debemos [101] debemos,seguir [101] venezuela,luchado [101] siendo,conscientes [100] mippcivzla,venezuela Top Word Pairs in Tweet in G8:
[59] covid,pandemic [59] pandemic,theater [58] drelidavid,covid [29] targeting,unarmed [29] anymore,regime [29] killing,people [29] regime,burma [29] unarmed,civilians [29] people,indiscriminately [29] one,care Top Word Pairs in Tweet in G9:
[15] yes,heard [15] right,keep [15] hospital,due [15] heard,right [15] people,needed [15] needed,booster [15] adult,50 [15] 43,600 [15] due,covid [15] 600,people Top Word Pairs in Tweet in G10:
[33] elonmusk,covid_clarity [15] mattwallace888,elonmusk [15] covid,misinformation [14] dschlopesisback,mattwallace888 [14] natural,immunity [13] elonmusk,banned [13] banned,covid [13] child,goes [13] goes,identity [13] crisis,before Top Replied-To in Entire Graph:
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Top Replied-To in G8:
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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 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:
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Top Tweeters in G9:
Top Tweeters in G10: