The graph represents a network of 10,391 Twitter users whose tweets in the requested range contained "vaccine OR vaccination", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 05 September 2022 at 01:57 UTC.
The requested start date was Monday, 05 September 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 0-hour, 21-minute period from Thursday, 01 September 2022 at 11:41 UTC to Sunday, 04 September 2022 at 12:02 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 : 10391
Unique Edges : 6669
Edges With Duplicates : 11641
Total Edges : 18310
Number of Edge Types : 5
Replies to : 1724
Mentions : 3763
Tweet : 1834
Retweet : 5022
MentionsInRetweet : 5967
Self-Loops : 1882
Reciprocated Vertex Pair Ratio : 0.00826839003991637
Reciprocated Edge Ratio : 0.0164011688189273
Connected Components : 1863
Single-Vertex Connected Components : 571
Maximum Vertices in a Connected Component : 4788
Maximum Edges in a Connected Component : 10337
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 9.178696
Graph Density : 9.82656105838241E-05
Modularity : 0.59818
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 10,391 Twitter users whose tweets in the requested range contained "vaccine OR vaccination", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 05 September 2022 at 01:57 UTC.
The requested start date was Monday, 05 September 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 0-hour, 21-minute period from Thursday, 01 September 2022 at 11:41 UTC to Sunday, 04 September 2022 at 12:02 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 : GraphServerTwitterSearch
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:
[804] covid,19 [543] covid,vaccine [316] 19,vaccine [234] cervical,cancer [167] vaccine,passports [148] health,minister [148] 19,vaccination [144] few,months [143] vaccine,mandates [139] vaccine,cervical Top Word Pairs in Tweet in G1:
[89] covid,19 [51] covid,vaccine [41] 19,vaccine [30] cervical,cancer [30] namo,app [27] pm,modi [26] sheikh,hasina [26] hasina,lauds [26] lauds,pm [26] modi,evacuating Top Word Pairs in Tweet in G2:
[118] ce,attend [118] attend,laissons [118] laissons,faire [118] faire,campagne [118] campagne,vaccination [118] vaccination,masques [118] masques,jauges [118] jauges,réduites [118] réduites,événements [117] banounhelene,ce Top Word Pairs in Tweet in G3:
[41] first,indigenously [36] indigenously,developed [33] india,first [32] cervical,cancer [22] union,minister [21] developed,vaccine [17] minister,drjitendrasingh [16] announces,india [16] covid,19 [14] vaccine,doses Top Word Pairs in Tweet in G4:
[6] covid,vaccine [6] tonybaduy,doom37455413 [6] doom37455413,jdcburnhil [6] jdcburnhil,angryfleas [6] jtmayes3,hupperichwerner [6] mcfunny,idunsdaughter [6] jimbeam102,fornowago [6] fornowago,conservacat2 [6] conservacat2,zeetubes [6] zeetubes,atomskssanakan Top Word Pairs in Tweet in G5:
[37] covid,19 [24] 19,vaccines [23] covid,vaccine [20] vaccines,pregnancy [16] pfizer,moderna_tx [12] stevebarclay,moderna_tx [12] moderna_tx,pfizer [12] incorrect,information [12] information,covid [11] vaccine,rollout Top Word Pairs in Tweet in G6:
[28] covid,19 [18] 19,vaccine [13] clinical,data [12] covid,vaccine [12] fda,authorize [12] authorize,omicron [12] omicron,vaccine [12] vaccine,later [12] later,today [12] today,tomorrow Top Word Pairs in Tweet in G7:
[127] health,minister [127] vaccine,passports [126] therese,coffey [126] coffey,tipped [126] tipped,health [126] minister,backed [126] backed,lockdowns [126] lockdowns,backed [126] backed,vaccine [126] passports,backed Top Word Pairs in Tweet in G8:
[39] covid,vaccine [34] always,advocated [34] advocated,respectful [34] respectful,dialogue [34] dialogue,political [34] political,sphere [34] sphere,rich [34] rich,words [34] words,pm [34] pm,called Top Word Pairs in Tweet in G9:
[130] covid,vaccine [126] facebook,big [126] big,trouble [126] trouble,discovered [126] discovered,facebook [126] facebook,covid [126] vaccine,fat [126] fat,checkers [126] checkers,funded [125] xx17965797n,facebook Top Word Pairs in Tweet in G10:
[64] vaccine,serious [53] mrna,vaccine [50] serious,adverse [50] adverse,events [33] peer,reviewed [32] study,examining [32] examining,mrna [32] events,study [32] study,peer [32] reviewed,journal 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: