The graph represents a network of 10,689 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, 29 November 2021 at 02:35 UTC.
The requested start date was Monday, 29 November 2021 at 01:01 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, 4-minute period from Thursday, 25 November 2021 at 11:57 UTC to Sunday, 28 November 2021 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 : 10689
Unique Edges : 5899
Edges With Duplicates : 11708
Total Edges : 17607
Number of Edge Types : 5
Retweet : 5365
MentionsInRetweet : 6150
Replies to : 1235
Mentions : 2309
Tweet : 2548
Self-Loops : 2591
Reciprocated Vertex Pair Ratio : 0.00427715996578272
Reciprocated Edge Ratio : 0.00851788756388416
Connected Components : 2444
Single-Vertex Connected Components : 745
Maximum Vertices in a Connected Component : 3391
Maximum Edges in a Connected Component : 7042
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 11.94083
Graph Density : 8.22099836252278E-05
Modularity : 0.582553
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,689 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, 29 November 2021 at 02:35 UTC.
The requested start date was Monday, 29 November 2021 at 01:01 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, 4-minute period from Thursday, 25 November 2021 at 11:57 UTC to Sunday, 28 November 2021 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:
[699] covid,19 [259] covid,vaccine [233] vaccine,passports [233] เกาหล,เตร [233] เตร,ยมประกาศมาตรการโคว [233] ยมประกาศมาตรการโคว,ดใหม [233] ดใหม,ว [233] ว,นจ [233] นจ,นทร [233] นทร,ท Top Word Pairs in Tweet in G1:
[128] covid,19 [47] 19,vaccine [33] covid,vaccine [25] flu,vaccine [19] omicron,variant [17] vaccine,mandate [14] vaccination,status [13] 19,booster [12] 19,vaccination [12] flu,covid Top Word Pairs in Tweet in G2:
[32] actuellement,réanimation [32] réanimation,covid [32] covid,12 [32] 12,enfants [32] enfants,19 [32] 19,ans [32] ans,france [32] france,gilbert [32] gilbert,deray [32] deray,parle Top Word Pairs in Tweet in G3:
[52] dr,aseem [52] aseem,malhotra [51] going,publish [51] publish,findings [51] findings,concerned [51] concerned,losing [51] losing,research [51] research,money' [51] money',dr [51] malhotra,reveals Top Word Pairs in Tweet in G4:
[232] เกาหล,เตร [232] เตร,ยมประกาศมาตรการโคว [232] ยมประกาศมาตรการโคว,ดใหม [232] ดใหม,ว [232] ว,นจ [232] นจ,นทร [232] นทร,ท [232] ท,จะถ [232] จะถ,งน [232] งน,หล Top Word Pairs in Tweet in G5:
[86] mois,après [85] seconde,dose [84] épidémie,vaccinés [84] vaccinés,ma [84] ma,patientele [84] patientele,mois [84] après,seconde [84] dose,patients [84] patients,non [84] non,risque Top Word Pairs in Tweet in G6:
[18] #coronavirus,hear [18] hear,sajidjavid [18] sajidjavid,correctly [18] correctly,variant [18] variant,appears [18] appears,ability [18] ability,round [17] johnboweactor,#coronavirus [11] vaccine,inequity [10] omicron,variant Top Word Pairs in Tweet in G7:
[29] vaccination,covid [29] autriche,gens [29] gens,vont [29] vont,recevoir [29] recevoir,lettre [29] lettre,vaccination [29] vaccination,s'ils [29] s'ils,bougent [29] bougent,ils [29] ils,recoivent Top Word Pairs in Tweet in G8:
[77] children,aged [76] aged,11 [74] ema,recommends [74] recommends,approval [71] biontech,pfizer [70] approval,biontech [70] pfizer,#covid19vaccine [70] #covid19vaccine,comirnaty [70] comirnaty,children [70] 11,population Top Word Pairs in Tweet in G9:
[39] vaccine,mandate [32] surprise,combination [32] combination,lockdowns [32] lockdowns,vaccine [32] vaccine,mask [32] mask,mandates [32] mandates,border [32] border,closures [32] closures,social [32] social,distancing Top Word Pairs in Tweet in G10:
[4] over,time [3] jungliat,seibtnaomi [3] seibtnaomi,vaccine [3] vaccine,wains [2] wains,over [2] time,needs [2] needs,boosted [2] boosted,seeing [2] seeing,long [2] cosmic_engineer,seibtnaomi Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: