The graph represents a network of 5,979 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 3/7/2023 5:00:33 PM. The network was obtained from Twitter on Wednesday, 08 March 2023 at 09:31 UTC.
The tweets in the network were tweeted over the 1138-day, 3-hour, 42-minute period from Friday, 24 January 2020 at 21:18 UTC to Wednesday, 08 March 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 : 5979
Unique Edges : 3013
Edges With Duplicates : 10462
Total Edges : 13475
Number of Edge Types : 9
Retweet : 3547
MentionsInRetweet : 4365
MentionsInReplyTo : 2615
Mentions : 439
Replies to : 1146
Tweet : 1169
MentionsInQuote : 54
MentionsInQuoteReply : 60
Quote : 80
Self-Loops : 1631
Reciprocated Vertex Pair Ratio : 0.0248787357221092
Reciprocated Edge Ratio : 0.0485496183206107
Connected Components : 1069
Single-Vertex Connected Components : 388
Maximum Vertices in a Connected Component : 1889
Maximum Edges in a Connected Component : 5018
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 11.070984
Graph Density : 0.000183255423199443
Modularity : 0.505893
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,979 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 3/7/2023 5:00:33 PM. The network was obtained from Twitter on Wednesday, 08 March 2023 at 09:31 UTC.
The tweets in the network were tweeted over the 1138-day, 3-hour, 42-minute period from Friday, 24 January 2020 at 21:18 UTC to Wednesday, 08 March 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:
[709] covid,19 [363] contra,coronavirus [277] coronavirus,pandemic [272] sputnik,reconocida [272] reconocida,vacuna [270] eficaz,contra [240] vacuna,eficaz [238] sars,cov [233] duro,golpe [233] macrista,sputnik Top Word Pairs in Tweet in G1:
[99] covid,19 [37] 25,years [37] over,25 [36] #coronavirus,#covid19 [30] perfect,enemy [28] news,perfect [28] 32,mortgage [18] 03,07 [17] #covid19,#covid_19 [16] found,32 Top Word Pairs in Tweet in G2:
[265] contra,coronavirus [263] reconocida,vacuna [263] sputnik,reconocida [263] eficaz,contra [238] vacuna,eficaz [233] macrista,sputnik [233] golpe,relato [233] relato,macrista [233] duro,golpe [232] osvwal,duro Top Word Pairs in Tweet in G3:
[190] heart,failure [189] two,thought [189] father,two [189] young,healthy [189] year,old [189] failure,young [189] thought,bronchitis [189] bronchitis,turns [189] turns,heart [189] 39,year Top Word Pairs in Tweet in G4:
[182] coronavirus,pandemic [181] ted,cruz [180] fauci,prosecuted [180] prosecuted,role [180] pandemic,response [180] role,coronavirus [179] cruz,calling [179] senator,ted [179] calling,fauci [142] response,thought Top Word Pairs in Tweet in G5:
[39] democrats,lying [37] lying,january [36] biden,coronavirus [35] coronavirus,inflation [33] pro,trump [30] march,pro [24] march,biden [23] pro,republicans [21] pro,border [21] republicans,pro Top Word Pairs in Tweet in G6:
[74] ejecutados,influjo [74] ancianos,ejecutados [74] influjo,virus [74] ola,pandemia [74] primera,ola [74] pandemia,coronavirus [74] 30,mil [74] mil,ancianos [73] coronavirus,30 [69] diario,16 Top Word Pairs in Tweet in G7:
[4] house,select [4] select,subcommittee [3] subcommittee,coronavirus [3] breezergalway,jneill [3] coronavirus,pandemic [2] karmatrumpsgod,haz_beard [2] nopoisonjabs,maureenstroud [2] ryanbeed,consequentialbr [2] strikenstein,nicolas_gaboury [2] jneill,hahaha Top Word Pairs in Tweet in G8:
[104] timinhonolulu,cdcgov [103] tentoads4truth,timinhonolulu [102] charles,koch [102] cut,cdc [102] place,policies [102] pushed,billion [102] attacks,shelter [102] cdcgov,charles [102] billion,cut [102] shelter,place Top Word Pairs in Tweet in G9:
[101] sars,cov [95] direct,ancestor [95] coronavirus,infections [95] ancestor,early [95] early,coronavirus [95] wuhan,direct [64] covid,19 [53] progenitor,sars [53] infections,globally [53] evolutionary,portrait Top Word Pairs in Tweet in G10:
[83] rwittenbrink,die [58] aktuelle,pandemie [58] grippe,#sarscov2 [58] säubern,die [58] die,aktuelle [58] die,innenraumluft [58] viren,säubern [58] voller,grippe [58] innenraumluft,voller [58] #sarscov2,viren Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G5:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: