The graph represents a network of 13,027 Twitter users whose recent tweets were included in a list (Tweet ID List #vaccineswork &related 29 April 2021) of 13787 tweet IDs, or who were replied to or mentioned in those tweets. 13553 out of 13787 tweets were collected. The network was obtained from Twitter on Sunday, 02 May 2021 at 18:45 UTC.
The tweets in the network were tweeted over the 23-hour, 59-minute period from Thursday, 29 April 2021 at 00:00 UTC to Thursday, 29 April 2021 at 23:59 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 13027
Unique Edges : 17500
Edges With Duplicates : 4139
Total Edges : 21639
Self-Loops : 3178
Reciprocated Vertex Pair Ratio : 0.0179596823457544
Reciprocated Edge Ratio : 0.0352856457033125
Connected Components : 2235
Single-Vertex Connected Components : 1266
Maximum Vertices in a Connected Component : 6893
Maximum Edges in a Connected Component : 14348
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 6.239338
Graph Density : 9.82027772080123E-05
Modularity : 0.750786
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 13,027 Twitter users whose recent tweets were included in a list (Tweet ID List #vaccineswork &related 29 April 2021) of 13787 tweet IDs, or who were replied to or mentioned in those tweets. 13553 out of 13787 tweets were collected. The network was obtained from Twitter on Sunday, 02 May 2021 at 18:45 UTC.
The tweets in the network were tweeted over the 23-hour, 59-minute period from Thursday, 29 April 2021 at 00:00 UTC to Thursday, 29 April 2021 at 23:59 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterIDList
Graph Term : Tweet ID List #vaccineswork &related 29 April 2021
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1538] covid,19 [1273] bring,closer [820] #vaccineswork,bring [523] 19,vaccine [522] immunization,week [488] world,immunization [467] #covid19,vaccine [453] #covid19,#vaccineswork [402] learn,more [365] #vaccineswork,#worldimmunizationweek Top Word Pairs in Tweet in G1:
[91] immunization,week [86] covid,19 [85] world,immunization [73] #vaccineswork,#vaccinated [54] bring,closer [54] #covid19,#vaccineswork [41] #vaccinated,#vaccineswork [35] #getvaccinated,#vaccineswork [30] fully,vaccinated [28] #vaccineswork,#vaccine Top Word Pairs in Tweet in G2:
[5] registration,vaccination [5] vaccination,18 [5] 18,opened [5] opened,guys [5] guys,register [5] register,arogyasetu [5] arogyasetu,app [5] app,umang [5] umang,app [5] app,kindly Top Word Pairs in Tweet in G3:
[660] bring,closer [497] #vaccineswork,bring [122] #covid19,pandemic [121] s,#worldimmunizationweek [116] end,#covid19 [113] vaccines,help [107] help,end [107] closer,each [107] again,#vaccineswork [106] each,again Top Word Pairs in Tweet in G4:
[375] covid,19 [135] world,immunization [135] immunization,week [124] 19,vaccine [94] bring,closer [87] 19,vaccines [72] protective,shield [70] 19,pandemic [61] unicef,partners [57] world,#vaccineswork Top Word Pairs in Tweet in G5:
[164] bring,closer [126] covid,19 [109] #vaccineswork,bring [84] preventable,diseases [63] #vaccineswork,#worldimmunizationweek [58] #worldimmunizationweek,#vaccineswork [53] learn,more [52] #covid19,pandemic [50] #vaccineswork,#avw2021 [48] vaccination,week Top Word Pairs in Tweet in G6:
[78] covid,19 [69] eu_health,ema_news [69] ema_news,ecdc_eu [67] trusted,sources [57] learn,more [54] 2,billion [50] more,#vaccineswork [46] sources,information [45] find,trusted [45] information,vaccines Top Word Pairs in Tweet in G7:
[108] rain,spoils [108] spoils,picnic [108] picnic,saves [108] saves,farmer [108] farmer,s [108] s,crop [108] crop,shouldn [108] shouldn,t [108] t,rain [108] rain,tom Top Word Pairs in Tweet in G8:
[234] uk,disease [234] disease,cases [125] #vaccineswork,#worldimmunisationweek [117] comparison,uk [117] cases,1900s [117] 1900s,vs [117] vs,uk [117] cases,2018 [117] 2018,#vaccineswork [49] help,communities Top Word Pairs in Tweet in G9:
[24] millions,lives [23] #worldimmunizationweek,highlights [23] highlights,importance [23] importance,immunization [23] immunization,global [23] global,scale [23] scale,saving [23] saving,millions [23] lives,#swasthabharat [23] #swasthabharat,#healthforall Top Word Pairs in Tweet in G10:
[72] vacunas,nos [44] hoy,#dayofimmunology [39] #dayofimmunology,desde [38] día,internacional [35] desde,seinmunologia [35] seinmunologia,os [35] os,preguntamos [35] preguntamos,tú [35] tú,porqué [35] porqué,vacunas 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: