The graph represents a network of 6,003 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 2/19/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 20 February 2023 at 02:53 UTC.
The tweets in the network were tweeted over the 1199-day, 5-hour, 0-minute period from Friday, 08 November 2019 at 19:59 UTC to Monday, 20 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 : 6003
Unique Edges : 2865
Edges With Duplicates : 11734
Total Edges : 14599
Number of Edge Types : 9
Replies to : 1587
MentionsInReplyTo : 3619
Retweet : 3773
MentionsInRetweet : 4305
Tweet : 829
Mentions : 263
MentionsInQuote : 62
MentionsInQuoteReply : 45
Quote : 116
Self-Loops : 1065
Reciprocated Vertex Pair Ratio : 0.0285400658616905
Reciprocated Edge Ratio : 0.0554962646744931
Connected Components : 690
Single-Vertex Connected Components : 173
Maximum Vertices in a Connected Component : 3968
Maximum Edges in a Connected Component : 10801
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.039302
Graph Density : 0.00020804881353614
Modularity : 0.490461
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,003 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 2/19/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 20 February 2023 at 02:53 UTC.
The tweets in the network were tweeted over the 1199-day, 5-hour, 0-minute period from Friday, 08 November 2019 at 19:59 UTC to Monday, 20 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:
[641] covid,vaccine [617] covid,19 [356] adverse,events [328] flu,vaccine [312] 1976,pulled [312] vaccine,1976 [312] swine,flu [311] rates,adverse [311] market,swine [311] unprecedented,rates Top Word Pairs in Tweet in G1:
[263] adverse,events [260] shots,market [260] unprecedented,rates [260] vaccine,1976 [260] flu,vaccine [260] pull,shots [260] market,swine [260] swine,flu [260] events,need [260] rates,adverse Top Word Pairs in Tweet in G2:
[192] covid,19 [158] time,close [157] close,door [157] gregabbott_tx,time [156] prohibit,government [156] government,imposing [156] covid,restrictions [156] session,prohibit [156] restrictions,session [156] door,covid Top Word Pairs in Tweet in G3:
[146] spike,protein [143] anyone,still [142] protein,toxin [142] sars,cov [142] still,confused [142] cov,spike [142] confused,whether [142] whether,sars [141] rwmalonemd,anyone [73] vaccine,immunity Top Word Pairs in Tweet in G4:
[112] covid,19 [109] 19,vaccine [91] vaccine,injuries [90] vaers,data [90] data,covid [89] deaths,680 [89] 34,385 [89] 680,25 [89] 385,worldwide [88] 10,2023 Top Word Pairs in Tweet in G5:
[87] covid,vaccine [63] taking,covid [63] doctors,anxiety [63] young,healthy [63] vaccine,doctors [63] healthy,male [63] develops,myocarditis [63] breaking,young [63] male,develops [63] myocarditis,taking Top Word Pairs in Tweet in G6:
[6] femmevoilet,doom37455413 [6] zee_parody,greenguerilla1 [6] greenguerilla1,femmevoilet [4] doom37455413,jkelleyk [4] pouldeau61,tomsirolimus [4] zeetubesii,aspalaasnasntyr [4] louforfreedoml1,tonybaduy [4] burgerlab12,consequentialbr [4] mcfunny,burgerlab12 [4] ryanbeed,monstercoyliar Top Word Pairs in Tweet in G7:
[37] covid,19 [29] 19,vaccine [16] covid,vaccine [8] evangeline,lilly [7] moderna,reverses [7] course,people [7] won,pay [7] pay,covid [7] people,won [7] reverses,course Top Word Pairs in Tweet in G8:
[44] covid,vaccine [37] adverse,events [30] clinical,trials [30] vaccine,related [29] anaysis,peer [29] serious,adverse [29] peer,reviewed [29] hundreds,covid [29] treated,hundreds [29] related,injuries Top Word Pairs in Tweet in G9:
[52] covid,vaccine [18] very,robust [18] infection,very [18] variants,vaccination [18] better,pre [18] robust,better [18] omicron,variants [18] vaccination,90 [18] omicron,infection [18] pre,omicron Top Word Pairs in Tweet in G10:
[18] covid,19 [12] 15,months [11] covid,vaccine [10] ronduncan7,endwokeness [9] done,feb [9] test,done [9] blood,test [9] antibodies,high [9] spike,antibodies [9] months,pfizer Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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: