The graph represents a network of 18,738 Twitter users whose recent tweets contained "AstraZeneca", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 18 April 2021 at 09:16 UTC.
The tweets in the network were tweeted over the 9-hour, 16-minute period from Saturday, 17 April 2021 at 22:47 UTC to Sunday, 18 April 2021 at 08:04 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 : 18738
Unique Edges : 22099
Edges With Duplicates : 3158
Total Edges : 25257
Number of Edge Types : 5
Mentions : 3031
Tweet : 2796
Retweet : 14335
MentionsInRetweet : 2871
Replies to : 2224
Self-Loops : 2901
Reciprocated Vertex Pair Ratio : 0.00402974334372751
Reciprocated Edge Ratio : 0.00802713937598547
Connected Components : 2376
Single-Vertex Connected Components : 1009
Maximum Vertices in a Connected Component : 12530
Maximum Edges in a Connected Component : 18527
Maximum Geodesic Distance (Diameter) : 35
Average Geodesic Distance : 8.066452
Graph Density : 5.96108324363796E-05
Modularity : 0.828107
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 18,738 Twitter users whose recent tweets contained "AstraZeneca", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 18 April 2021 at 09:16 UTC.
The tweets in the network were tweeted over the 9-hour, 16-minute period from Saturday, 17 April 2021 at 22:47 UTC to Sunday, 18 April 2021 at 08:04 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 : TwitterSearch
Graph Term : AstraZeneca
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:
[3660] astrazeneca,vaccine [2317] last,week [2076] eligible,astrazeneca [2067] didn,exaggerated [2067] exaggerated,concerns [2067] concerns,vaccine [2067] vaccine,issues [2067] issues,booking [2067] booking,vaccine [2067] vaccine,fighting Top Word Pairs in Tweet in G1:
[1940] astrazeneca,vaccine [1882] eligible,astrazeneca [1878] admitted,dozen [1878] dozen,covid [1878] covid,patients [1878] patients,icu [1878] icu,last [1878] last,week [1878] week,eligible [1878] vaccine,didn Top Word Pairs in Tweet in G2:
[269] risque,mourir [190] nouveaux,cas [154] faire,vacciner [151] vaccin,astrazeneca [135] mourir,covid [133] pfizer,moderna [127] #astrazeneca,#vaxzevria [127] 74,ans [126] cas,thrombose [126] bénéfice,risque Top Word Pairs in Tweet in G3:
[147] astrazeneca,vaccine [91] blood,clots [87] rare,blood [82] case,rare [80] second,case [73] covid,19 [60] blood,clot [48] vacuna,astrazeneca [48] clots,astrazeneca [47] canada,second Top Word Pairs in Tweet in G4:
[622] blood,clot [614] #covid19,#vaccine [612] cyber,expert [612] expert,paper [612] paper,blew [612] blew,away [612] away,detailed [612] detailed,analysis [612] analysis,behind [612] behind,#covid19 Top Word Pairs in Tweet in G5:
[532] astrazeneca,vaccine [242] pfizer,astrazeneca [219] vaccine,take [218] happening,england [218] england,hope [218] hope,canadians [218] canadians,months [218] months,looks [218] looks,b117 [218] b117,replaced Top Word Pairs in Tweet in G6:
[146] por_mipatria99,astrazeneca [78] astrazeneca,novavax [61] production,lines [61] making,160m [61] 37,critical [60] news,seruminstindia [60] seruminstindia,production [60] lines,making [60] 160m,vaccines [60] vaccines,month Top Word Pairs in Tweet in G7:
[245] last,week [241] under,50 [164] astrazeneca,vaccine [141] blood,clots [125] take,astrazeneca [109] week,dont [109] dont,take [109] astrazeneca,youre [109] youre,under [109] 50,blood Top Word Pairs in Tweet in G8:
[412] vacunas,astrazeneca [407] hecho,científico [405] cabeza,vacunas [405] astrazeneca,trombos [405] trombos,chis [405] chis,plandemia [405] plandemia,hecho [33] vacuna,astrazeneca [23] segunda,dosis [21] covid19,16 Top Word Pairs in Tweet in G9:
[287] 000,dosis [272] 500,000 [181] vacunas,sputnik [178] llegan,vacunas [177] oxford,astrazeneca [164] sputnik,esperadas [164] esperadas,500 [164] 000,800 [164] 800,000 [164] dosis,suman Top Word Pairs in Tweet in G10:
[400] toda,locura [400] locura,estamos [400] estamos,viviendo [400] viviendo,evitaba [400] evitaba,hacían [400] hacían,negocios [400] negocios,astrazeneca [400] astrazeneca,entregó [400] entregó,nada [400] nada,cobró 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: