The graph represents a network of 5,367 Twitter users whose recent tweets contained "immunization", 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 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 20:02 UTC.
The tweets in the network were tweeted over the 1793-day, 11-hour, 10-minute period from Tuesday, 20 March 2018 at 13:49 UTC to Thursday, 16 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 : 5367
Unique Edges : 2535
Edges With Duplicates : 9423
Total Edges : 11958
Number of Edge Types : 9
Tweet : 635
Retweet : 4099
MentionsInRetweet : 5347
Replies to : 469
MentionsInReplyTo : 927
Mentions : 373
MentionsInQuoteReply : 11
Quote : 55
MentionsInQuote : 42
Self-Loops : 859
Reciprocated Vertex Pair Ratio : 0.0128184839373319
Reciprocated Edge Ratio : 0.0253125
Connected Components : 657
Single-Vertex Connected Components : 311
Maximum Vertices in a Connected Component : 3353
Maximum Edges in a Connected Component : 7742
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.158997
Graph Density : 0.000222227453826864
Modularity : 0.531249
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,367 Twitter users whose recent tweets contained "immunization", 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 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 20:02 UTC.
The tweets in the network were tweeted over the 1793-day, 11-hour, 10-minute period from Tuesday, 20 March 2018 at 13:49 UTC to Thursday, 16 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 : immunization
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:
[1741] immunization,schedule [870] routine,immunization [756] covid,19 [680] side,effects [663] disgusting,government [663] mind,cdc [663] covering,side [663] government,forced [663] forced,covering [663] effects,keep Top Word Pairs in Tweet in G1:
[646] keep,mind [646] mind,cdc [646] government,forced [646] effects,keep [646] forced,covering [646] side,effects [646] covering,side [646] disgusting,government [645] sav_says_,disgusting [5] immunization,schedule Top Word Pairs in Tweet in G2:
[92] immunization,schedule [86] covid,19 [42] cdc,adds [35] adds,covid [31] routine,immunization [27] 19,vaccine [23] immunization,schedules [22] covid,vaccine [22] child,immunization [19] 19,vaccines Top Word Pairs in Tweet in G3:
[304] immunization,schedule [303] covid,vaccine [303] vaccine,being [303] expected,cdc [303] cdc,added [303] added,covid [303] adolescent,immunization [303] shots,child [303] covid,shots [303] child,adolescent Top Word Pairs in Tweet in G4:
[287] covid,19 [286] immunization,schedule [283] 19,vaccines [264] routine,immunization [264] children,between [263] vaccines,added [263] schedule,agency [263] agency,recommends [263] between,months [263] added,routine Top Word Pairs in Tweet in G5:
[202] technology,financial [202] start,immunization [202] disastrous,start [202] blunder,shows [202] pfizer,moderna_tx [202] mrna,pfizer [202] immunization,technology [202] moderna_tx,disastrous [202] financial,blunder [201] p_mcculloughmd,mrna Top Word Pairs in Tweet in G6:
[198] cdc,added [198] immunization,schedule [195] schedule,children [195] added,c19 [195] jab,routine [195] children,risk [195] c19,jab [195] routine,immunization [194] frontlineflash,cdc [4] covid,shots Top Word Pairs in Tweet in G7:
[164] immunization,schedule [135] routine,immunization [125] covid,vaccine [123] vaccine,routine [123] adults,children [123] cdcgov,officially [123] schedule,adults [123] added,covid [123] officially,added [123] thursday,cdcgov Top Word Pairs in Tweet in G8:
[81] already,made [81] news,continues [81] made,part [81] death,toll [81] shots,already [81] continues,trickle [81] part,child [81] trickle,death [81] toll,shots [80] rmconservative,news Top Word Pairs in Tweet in G9:
[80] ceo,gavi [80] next,ceo [73] dr,muhammadpate [73] state,health [73] minister,state [72] muhammadpate,next [72] former,minister [72] health,muhammadpate [72] excited,learn [72] learn,former Top Word Pairs in Tweet in G10:
[158] immunization,schedule [154] child,immunization [153] dr,anthony [153] work,well [153] #mrnavaccines,work [153] #fauci,#mrnavaccines [153] anthony,#fauci [153] well,add [153] add,child [148] schedule,leesmithd Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
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:
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: