The graph represents a network of 4,696 Twitter users whose recent tweets contained "VaccinesWork", 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 03:50 UTC.
The tweets in the network were tweeted over the 3241-day, 8-hour, 18-minute period from Sunday, 23 March 2014 at 16:33 UTC to Monday, 06 February 2023 at 00:51 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 : 4696
Unique Edges : 2370
Edges With Duplicates : 9489
Total Edges : 11859
Number of Edge Types : 9
Mentions : 626
Retweet : 3507
MentionsInRetweet : 4249
Tweet : 984
Quote : 253
Replies to : 743
MentionsInReplyTo : 1396
MentionsInQuoteReply : 40
MentionsInQuote : 61
Self-Loops : 1264
Reciprocated Vertex Pair Ratio : 0.0239940937615356
Reciprocated Edge Ratio : 0.0468637346791637
Connected Components : 467
Single-Vertex Connected Components : 157
Maximum Vertices in a Connected Component : 3252
Maximum Edges in a Connected Component : 9298
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.659227
Graph Density : 0.000251635996828697
Modularity : 0.461653
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,696 Twitter users whose recent tweets contained "VaccinesWork", 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 03:50 UTC.
The tweets in the network were tweeted over the 3241-day, 8-hour, 18-minute period from Sunday, 23 March 2014 at 16:33 UTC to Monday, 06 February 2023 at 00:51 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 : VaccinesWork
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:
[429] heart,attack [425] another,one [421] mehenni,died [421] few,minutes [421] felt,unwell [421] ben,idir [421] 2023,ben [421] player,felt [421] attack,player [421] minutes,before Top Word Pairs in Tweet in G1:
[413] before,end [413] died,heart [413] one,24 [413] idir,mehenni [413] ben,idir [413] another,one [413] felt,unwell [413] few,minutes [413] attack,player [413] heart,attack Top Word Pairs in Tweet in G2:
[42] protect,yourself [37] covid,19 [36] protect,against [29] long,covid [29] gavi,study [27] study,analysing [27] impact,#longcovid [27] #longcovid,workforce [27] workforce,york [27] york,found Top Word Pairs in Tweet in G3:
[81] disease,highly [81] killed,hundreds [81] thousands,years [81] over,thousands [81] people,disease [81] #hpv,vaccine [81] known,cure [81] smallpox,killed [81] highly,infectious [81] years,smallpox Top Word Pairs in Tweet in G4:
[17] grateful,peterhotez [17] producing,vaccines [17] working,tirelessly [17] tirelessly,improve [17] many,producing [17] improve,health [17] health,many [17] peterhotez,working [17] vaccines,underserved [16] florencia_ardon,grateful Top Word Pairs in Tweet in G5:
[190] 100,000 [190] cases,100 [189] myocarditis,cases [189] vaccine,myocarditis [189] facts,blow [189] mind,risk [189] range,seen [189] blow,mind [189] normal,range [189] 000,vaccinated Top Word Pairs in Tweet in G6:
[72] covid,19 [44] hesitancy,crackedscience [44] vaccine,hesitancy [44] tackles,vaccine [44] documentary,tackles [44] crackedscience,mcgilloss [44] pro,vaccine [44] vaccine,documentary [43] caulfieldtim,pro [30] works,know Top Word Pairs in Tweet in G7:
[12] covid,19 [10] #vaccineswork,#vaccinessavelives [8] #endpolio,#vaccineswork [6] ppl,lived [6] vaccination,protect [6] safe,effective [6] #covid19,#vaccineswork [6] protect,against [6] vaccine,ppl [5] gavi,vaccine Top Word Pairs in Tweet in G8:
[36] preventable,diseases [33] #vaccineswork,#getimmunized [32] diseases,happen [32] happen,populations [32] rates,urge [32] concerning,news [32] outbreaks,preventable [32] news,outbreaks [32] vaccination,rates [32] populations,low Top Word Pairs in Tweet in G9:
[136] #biden,#dod [136] brought,#pfizer [136] moderna,#wef [136] another,#diedsuddenly [136] #ccp,allowed [136] allowed,fly [136] #pfizer,moderna [136] #dod,#ccp [136] #wef,#fauci [136] #fauci,#biden Top Word Pairs in Tweet in G10:
[47] continue,driving [47] vaccinated,allowed [47] day,vaccinated [47] driving,suddenly [47] allowed,continue [47] lose,control [47] thought,day [47] suddenly,lose [46] complete,theatre [46] theatre,very Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: