The graph represents a network of 5,270 Twitter users whose recent tweets contained "COVID-19", 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 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 08:04 UTC.
The tweets in the network were tweeted over the 1009-day, 4-hour, 2-minute period from Wednesday, 29 April 2020 at 20:58 UTC to Friday, 03 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 : 5270
Unique Edges : 3349
Edges With Duplicates : 10331
Total Edges : 13680
Number of Edge Types : 9
Retweet : 4178
MentionsInRetweet : 6486
Tweet : 687
Mentions : 488
Replies to : 532
MentionsInReplyTo : 1192
Quote : 66
MentionsInQuote : 33
MentionsInQuoteReply : 18
Self-Loops : 853
Reciprocated Vertex Pair Ratio : 0.00533191149026926
Reciprocated Edge Ratio : 0.0106072659771944
Connected Components : 586
Single-Vertex Connected Components : 199
Maximum Vertices in a Connected Component : 3613
Maximum Edges in a Connected Component : 10687
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 3.755856
Graph Density : 0.000271611225012722
Modularity : 0.450628
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,270 Twitter users whose recent tweets contained "COVID-19", 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 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 08:04 UTC.
The tweets in the network were tweeted over the 1009-day, 4-hour, 2-minute period from Wednesday, 29 April 2020 at 20:58 UTC to Friday, 03 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 : COVID-19
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:
[4553] covid,19 [2385] pfizer,director [2328] breaking,pfizer [2288] concerned,over [2288] director,concerned [2286] women's,reproductive [2286] over,women's [1332] project_veritas,breaking [1302] 19,vaccinations [1300] heath,covid Top Word Pairs in Tweet in G1:
[2283] covid,19 [2205] breaking,pfizer [2155] pfizer,director [2152] director,concerned [2152] concerned,over [2151] women's,reproductive [2151] over,women's [1253] project_veritas,breaking [1220] reproductive,heath [1220] heath,covid Top Word Pairs in Tweet in G2:
[343] covid,19 [161] 19,vaccine [154] healthbyjames,breaking [89] healthbyjames,urgent [89] walls,closing [89] closing,pfizer [88] aghuff,walls [70] confirming,right [70] dismisses,legal [70] dr,peter Top Word Pairs in Tweet in G3:
[156] covid,19 [20] pfizer,director [17] concerned,over [17] health,covid [17] director,concerned [17] over,women's [17] reproductive,health [17] women's,reproductive [17] 19,vaccinations [7] 19,drug Top Word Pairs in Tweet in G4:
[177] multiple,sars [177] antibodies,block [177] yolk,antibodies [177] binding,multiple [177] block,binding [177] sars,cov [177] egg,yolk [172] multiple,studies [125] bombshell,report [124] report,multiple Top Word Pairs in Tweet in G5:
[181] covid,19 [116] 2020,2021 [115] 19,flu [115] greatest,mysteries [115] one,greatest [115] go,2020 [115] mysteries,covid [115] flu,go [114] kanekoathegreat,one [22] 19,vaccine Top Word Pairs in Tweet in G6:
[94] pfizer,director [81] vax,induced [81] enormous',pfizer [81] director,worried [81] worried,vax [81] menstrual,irregularities [81] scandal,enormous' [81] induced,menstrual [80] 'the,scandal [80] zerohedge,'the Top Word Pairs in Tweet in G7:
[61] covid,19 [60] 4t,miserables [60] alterar,registros [60] registros,muertes [60] atrevieron,alterar [60] ocultar,cifras [60] miserables,atrevieron [60] 19,ocultar [60] muertes,covid [59] ricardoalemanmx,4t Top Word Pairs in Tweet in G8:
[44] covid,19 [20] 19,vaccine [20] vaccine,mandate [19] article,angus [19] debate,cost [19] cost,trillion [19] suppression,debate [19] angus,dagleish [19] burner,suppression [19] barn,burner Top Word Pairs in Tweet in G9:
[105] covid,19 [24] ends,covid [24] end,plans [24] california,end [24] mandate,covid [24] vaccines,schoolchildren [24] 19,state [24] state,ends [24] 19,vaccines [24] schoolchildren,state Top Word Pairs in Tweet in G10:
[88] covid,19 [61] tool,prevention [61] destruction,chickens [61] yolk,antibodies [61] prevention,control [61] ongoing,covid [61] chicken,egg [61] antibodies,igys [61] control,ongoing [61] egg,yolk Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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: