The graph represents a network of 14,890 Twitter users whose recent tweets were included in a list (Tweet ID List #vaccineswork &related 28 Apr 2021) of 16734 tweet IDs, or who were replied to or mentioned in those tweets. 16408 out of 16734 tweets were collected. The network was obtained from Twitter on Sunday, 02 May 2021 at 13:17 UTC.
The tweets in the network were tweeted over the 23-hour, 54-minute period from Wednesday, 28 April 2021 at 00:00 UTC to Wednesday, 28 April 2021 at 23:54 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 : 14890
Unique Edges : 20558
Edges With Duplicates : 6681
Total Edges : 27239
Self-Loops : 3756
Reciprocated Vertex Pair Ratio : 0.0148250038208773
Reciprocated Edge Ratio : 0.0292168674698795
Connected Components : 2560
Single-Vertex Connected Components : 1579
Maximum Vertices in a Connected Component : 9745
Maximum Edges in a Connected Component : 21250
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.536067
Graph Density : 8.98522809556331E-05
Modularity : 0.697423
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 14,890 Twitter users whose recent tweets were included in a list (Tweet ID List #vaccineswork &related 28 Apr 2021) of 16734 tweet IDs, or who were replied to or mentioned in those tweets. 16408 out of 16734 tweets were collected. The network was obtained from Twitter on Sunday, 02 May 2021 at 13:17 UTC.
The tweets in the network were tweeted over the 23-hour, 54-minute period from Wednesday, 28 April 2021 at 00:00 UTC to Wednesday, 28 April 2021 at 23:54 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 28 Apr 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:
[1962] covid,19 [1128] bring,closer [893] immunization,week [865] world,immunization [733] 19,vaccine [621] #vaccineswork,bring [527] end,pandemic [499] work,together [496] vaccine,confidence [475] countries,need Top Word Pairs in Tweet in G1:
[128] covid,19 [110] immunization,week [104] world,immunization [67] #vaccineswork,#vaccinated [60] bring,closer [47] #vaccinated,#vaccineswork [40] #covid19,#vaccineswork [30] 19,vaccine [27] #vaccination,#vaccineswork [26] vaccines,bring Top Word Pairs in Tweet in G2:
[553] covid,19 [390] immunization,week [374] world,immunization [201] world,#vaccineswork [194] bring,closer [153] #covid19,vaccines [152] 19,vaccine [144] unicef,partners [134] 19,vaccines [130] protect,yourself Top Word Pairs in Tweet in G3:
[453] bring,closer [381] #vaccineswork,bring [167] vaccines,help [153] #covid19,pandemic [141] s,#worldimmunizationweek [135] end,#covid19 [134] #worldimmunizationweek,vaccines [134] help,end [134] again,#vaccineswork [133] pandemic,finally Top Word Pairs in Tweet in G4:
[342] disease,cases [336] uk,disease [169] cases,1900s [169] 1900s,vs [169] cases,2018 [167] vs,uk [167] those,denying [167] denying,#covid [167] #covid,vaccine [167] vaccine,ask Top Word Pairs in Tweet in G5:
[215] covid,19 [154] #vaccineswork,#worldimmunizationweek [130] bring,closer [106] preventable,diseases [82] one,safe [80] #endpolio,#vaccineswork [78] ahbnetwork,chrnaija [77] vaccine,preventable [76] endpolionow,lizthrush [76] lizthrush,gavi Top Word Pairs in Tweet in G6:
[129] #bharatbiotech,#wiw2021 [122] #wiw2021,#vaccineswork [98] #covid19,#covaxin [97] #covaxin,#pandemic [97] #pandemic,#sarscov2 [90] moment,immense [90] immense,pride [90] pride,design [90] design,approved [90] approved,#iscience Top Word Pairs in Tweet in G7:
[428] end,pandemic [411] pandemic,everywhere [411] everywhere,need [411] work,together [411] together,ensure [410] need,global [410] global,vaccination [410] vaccination,plan [410] plan,includes [410] includes,increasing Top Word Pairs in Tweet in G8:
[62] #vaccineswork,#scienceupfirst [51] side,effects [37] learn,more [36] don,t [32] bring,closer [31] covid,19 [29] vaccine,qs [29] qs,answered [29] answered,#vaccineswork [28] secondgentleman,19yo Top Word Pairs in Tweet in G9:
[84] till,june [42] pakistan,purchased [42] purchased,78 [42] 78,total [42] total,available [42] available,expected [42] expected,#covid [42] vaccine,stock [42] stock,till [42] june,2021 Top Word Pairs in Tweet in G10:
[31] bruce,hero [31] hero,need [31] need,#vaccineswork [31] #vaccineswork,#communityimmunity [29] #covid19,vaccines [26] 1,5 [26] 5,#vaccineswork [26] #vaccineswork,benefits [26] benefits,#covid19vaccines [26] #covid19vaccines,increasingly Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: