The graph represents a network of 5,671 Twitter users whose recent tweets contained "vaccine OR vaccination", 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 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 02:48 UTC.
The tweets in the network were tweeted over the 1096-day, 1-hour, 4-minute period from Wednesday, 05 February 2020 at 23:56 UTC to Monday, 06 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 : 5671
Unique Edges : 2661
Edges With Duplicates : 11079
Total Edges : 13740
Number of Edge Types : 9
Replies to : 1422
MentionsInReplyTo : 2857
Retweet : 3739
MentionsInRetweet : 4328
Mentions : 357
Tweet : 776
Quote : 157
MentionsInQuoteReply : 38
MentionsInQuote : 66
Self-Loops : 999
Reciprocated Vertex Pair Ratio : 0.0241503976861894
Reciprocated Edge Ratio : 0.0471618186952838
Connected Components : 607
Single-Vertex Connected Components : 148
Maximum Vertices in a Connected Component : 3940
Maximum Edges in a Connected Component : 10493
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.217674
Graph Density : 0.000220248630288012
Modularity : 0.481905
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,671 Twitter users whose recent tweets contained "vaccine OR vaccination", 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 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 02:48 UTC.
The tweets in the network were tweeted over the 1096-day, 1-hour, 4-minute period from Wednesday, 05 February 2020 at 23:56 UTC to Monday, 06 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 : vaccine OR vaccination
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:
[1281] covid,19 [667] covid,vaccine [420] healthbyjames,breaking [392] 19,vaccine [291] taking,vaccine [289] people,vaccine [288] without,taking [281] deceased,people [281] right,vaccinated [281] vaccine,read Top Word Pairs in Tweet in G1:
[327] healthbyjames,breaking [321] covid,19 [175] 19,vaccine [134] breaking,cdc [117] covid,vaccine [115] codes,doctors [112] people,refuse [100] healthbyjames,urgent [83] japanese,doctors [83] breaking,japanese Top Word Pairs in Tweet in G2:
[99] covid,19 [66] old,sarah [66] yr,old [66] please,listen [66] listen,daughter [66] mother,please [66] daughter,story [66] 14,yr [66] died,heart [66] baltner's,mother Top Word Pairs in Tweet in G3:
[230] medicare,000 [230] people,vaccine [230] read,right [230] deceased,people [230] 000,deceased [230] vaccine,read [230] right,vaccinated [229] stkirsch,medicare [14] covid,19 [10] reenlistment,happening Top Word Pairs in Tweet in G4:
[187] covid,vaccine [182] covid,itself [182] vs,covid [182] vaccine,causes [181] paper,published [181] 530,vs [181] itself,vax [181] bmj,shows [181] breaking,paper [181] 5x,more Top Word Pairs in Tweet in G5:
[356] covid,19 [228] taking,vaccine [228] without,taking [114] card,without [114] scan,covid [114] digital,qr [114] qr,scan [114] certificate,paper [114] thecovid19agenda,gmail [114] email,thecovid19agenda Top Word Pairs in Tweet in G6:
[76] moderna,vaccine [76] suffered,large [76] clots,pulmonary [76] right,side [76] vaccine,suffered [76] embolism,right [76] amanda,cloud [76] large,blood [76] received,moderna [76] blood,clots Top Word Pairs in Tweet in G7:
[69] covid,vaccination [68] more,frequent [68] science,health [68] told,myocarditis [68] much,more [68] frequent,covid [68] myocarditis,much [68] authorities,told [68] health,authorities [67] vigilantfox,science Top Word Pairs in Tweet in G8:
[57] questlove,jean [57] phelps,questlove [57] michael,phelps [57] smart,spot [57] feat,pink [57] vaccine,ad [57] jean,smart [57] pfizer,recruits [57] ad,push [57] power,latest Top Word Pairs in Tweet in G9:
[9] covid,19 [4] 19,vaccination [4] seeks,reinstate [4] need,one [4] over,covid [4] vaccination,status [4] died,suddenly [4] discharged,over [4] bill,seeks [4] gop,bill Top Word Pairs in Tweet in G10:
[24] covid,19 [19] covid,vaccine [15] 19,vaccine [11] down,street [11] publicly,displayed [11] driving,down [11] trucks,driving [11] being,publicly [11] using,trucks [10] canada,using Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: