The graph represents a network of 6,554 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 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 10:17 UTC.
The tweets in the network were tweeted over the 1037-day, 21-hour, 4-minute period from Tuesday, 07 April 2020 at 03:56 UTC to Thursday, 09 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 : 6554
Unique Edges : 3473
Edges With Duplicates : 10858
Total Edges : 14331
Number of Edge Types : 9
Retweet : 3549
MentionsInRetweet : 4120
Tweet : 1474
Mentions : 340
MentionsInReplyTo : 3074
Replies to : 1436
Quote : 177
MentionsInQuote : 31
MentionsInQuoteReply : 130
Self-Loops : 1729
Reciprocated Vertex Pair Ratio : 0.0253400143163923
Reciprocated Edge Ratio : 0.0494275342083217
Connected Components : 1327
Single-Vertex Connected Components : 374
Maximum Vertices in a Connected Component : 2950
Maximum Edges in a Connected Component : 7903
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.560664
Graph Density : 0.000166758396979144
Modularity : 0.512638
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,554 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 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 10:17 UTC.
The tweets in the network were tweeted over the 1037-day, 21-hour, 4-minute period from Tuesday, 07 April 2020 at 03:56 UTC to Thursday, 09 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
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:
[1307] covid,19 [423] covid,vaccine [259] 19,vaccine [250] harvard,stanford [249] twitter,exec [246] training,qualified [246] censor,harvard [246] qualified,censor [246] exec,explains [246] stanford,mds Top Word Pairs in Tweet in G1:
[225] harvard,stanford [224] explains,medical [224] censor,harvard [224] medical,training [224] exec,explains [224] twitter,exec [224] mds,questioned [224] qualified,censor [224] training,qualified [224] stanford,mds Top Word Pairs in Tweet in G2:
[187] healthbyjames,urgent [171] covid,19 [122] 19,vaccine [122] covid,vaccine [56] healthbyjames,breaking [54] vaccine,rollout [52] 50,decrease [52] fertility,numbers [52] rollout,50 [52] urgent,dr Top Word Pairs in Tweet in G3:
[90] covid,19 [16] #,# [14] during,covid [14] covid,vaccine [9] fort,detrick [8] kemenkumham,jateng [8] 19,vaccine [7] covid,vaccines [6] long,covid [6] united,states Top Word Pairs in Tweet in G4:
[29] covid,longer [27] controls,lives [27] longer,controls [16] nuts,solar [16] lots,hot [16] never,happen [16] before,never [16] made,usa [16] tell,happened [16] bring,companies Top Word Pairs in Tweet in G5:
[133] swiss,president [128] war,crime [128] contracts,swiss [128] begun,thailand [128] pfizer,contracts [128] tribunals,nullify [128] crime,tribunals [128] breaking,begun [128] convening,war [128] thailand,convening Top Word Pairs in Tweet in G6:
[129] vaccine,mandate [126] visitors,united [85] repthomasmassie,democrats [80] covid,vaccine [74] democrats,voted [73] legal,visitors [73] place,legal [73] mandate,place [73] voted,keep [73] biden,covid Top Word Pairs in Tweet in G7:
[36] covid,19 [34] covid,vaccine [23] getting,myocarditis [23] risk,getting [22] myocarditis,mrna [20] company,produced [20] vaccine,before [20] moderna,ceo [20] mrna,vaccines [20] produced,covid Top Word Pairs in Tweet in G8:
[32] covid,19 [12] n'oubliera,rien [12] dernier,corrompus [12] poursuivra,jusqu'au [12] rien,poursuivra [12] jusqu'au,dernier [11] silvano_trotta,n'oubliera [10] without,taking [10] certificate,paper [10] letters,without Top Word Pairs in Tweet in G9:
[22] assistant,both [22] safe,measures [22] recommended,covid [22] local,dentist [22] measures,dentist [22] dgurdasani1,went [22] today,recommended [22] went,local [22] covid,safe [22] dentist,today Top Word Pairs in Tweet in G10:
[4] jimeeliberty,pouldeau61 [3] aspalaasnasntyr,wendyorent [3] scary7dr,ryanbeed [3] monstercoyliar,aspalaasnasntyr [3] nicky111lady,reacharoundu [3] richykirsh,thskicksarefire [3] louforfreedoml1,tonybaduy [3] incitatusalpha,kevinault [3] ogilville1,pawley_robert [3] jarbot15,barryjohnreid21 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 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: