The graph represents a network of 8,829 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 17 August 2022 at 07:15 UTC.
The requested start date was Wednesday, 17 August 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 2-day, 0-hour, 19-minute period from Sunday, 14 August 2022 at 11:58 UTC to Tuesday, 16 August 2022 at 12:17 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 : 8829
Unique Edges : 4333
Edges With Duplicates : 12462
Total Edges : 16795
Number of Edge Types : 5
Retweet : 5638
MentionsInRetweet : 6378
Tweet : 2517
Replies to : 510
Mentions : 1752
Self-Loops : 2642
Reciprocated Vertex Pair Ratio : 0.00738101298040214
Reciprocated Edge Ratio : 0.0146538655886812
Connected Components : 2247
Single-Vertex Connected Components : 880
Maximum Vertices in a Connected Component : 647
Maximum Edges in a Connected Component : 2759
Maximum Geodesic Distance (Diameter) : 35
Average Geodesic Distance : 8.003258
Graph Density : 0.000101562163613823
Modularity : 0.521076
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8,829 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 17 August 2022 at 07:15 UTC.
The requested start date was Wednesday, 17 August 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 2-day, 0-hour, 19-minute period from Sunday, 14 August 2022 at 11:58 UTC to Tuesday, 16 August 2022 at 12:17 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 : COVID-19
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:
[5487] covid,19 [455] contra,covid [242] 19,vaccine [220] 19,vaccines [205] 19,venezuela [142] lucha,contra [142] #covid19,#covid_19 [138] nuevos,contagios [134] 19,pandemic [124] #covid_19,#covidー19 Top Word Pairs in Tweet in G1:
[871] covid,19 [54] safe,date [54] date,covid [54] 19,linda [49] 19,vaccine [45] contra,covid [32] 19,pandemic [27] lindasdatelist,safe [18] 19,vaccines [16] pandemia,covid Top Word Pairs in Tweet in G2:
[934] covid,19 [271] contra,covid [194] 19,venezuela [135] lucha,contra [127] nuevos,contagios [119] uso,adecuado [119] adecuado,mascarilla [99] venezuela,registró [97] venezuela,registra [97] #prevención,uso Top Word Pairs in Tweet in G3:
[75] covid,19 [20] essais,cliniques [20] pdg,pfizer [19] syndrome,l'anus [19] l'anus,sans [19] sans,repos [19] repos,nouvel [19] nouvel,effet [19] effet,secondaire [19] secondaire,covid Top Word Pairs in Tweet in G4:
[53] sukunabikona7,covid [44] covid,19によって親を失った子供の数の推計をインペリアル [44] 19によって親を失った子供の数の推計をインペリアル,カレッジ [44] カレッジ,ロンドンが公表しているのだけれど [44] ロンドンが公表しているのだけれど,日本では片親もしくは両親を亡くした子供は1600名に [22] 感染して学校を休みたくないというお子さんや,旅行に行きたい [22] 旅行に行きたい,入試を無事過ごしたい [22] 入試を無事過ごしたい,もちろん重症化は避けたいというなら受けた方がいい [22] もちろん重症化は避けたいというなら受けた方がいい,個人を守るためです [22] 個人を守るためです,個別のお話は必要ですが Top Word Pairs in Tweet in G5:
[99] covid,19 [41] #covid,19 [35] 19,vaccine [31] first,country [31] omicron,variant [26] besoin,essais [26] essais,cliniques [26] cliniques,autoriser [26] autoriser,nouveaux [26] nouveaux,vaccins Top Word Pairs in Tweet in G6:
[68] covid,19 [50] contra,covid [46] bolsonaro,admitiu [46] recebeu,ofertas [46] ofertas,pfizer [46] pfizer,adquirir [46] adquirir,vacinas [46] vacinas,contra [46] 19,preços [46] preços,mais Top Word Pairs in Tweet in G7:
[41] covid,vaccine [41] restore,trust [40] end,global [40] global,covid [40] vaccine,mandates [40] mandates,publish [40] publish,raw [40] raw,jab [40] jab,trial [40] trial,data Top Word Pairs in Tweet in G8:
[64] covid,19 [44] cdc,covid [44] 19,prior [44] prior,infection [44] infection,same [44] same,vaccination [44] vaccination,commence [44] commence,great [44] great,misremembering [42] thackerpd,cdc Top Word Pairs in Tweet in G9:
[70] covid,19 [54] study,iceland [54] iceland,seems [54] seems,show [54] show,age [54] age,groups [54] groups,more [54] more,doses [54] doses,covid [54] 19,vaccines Top Word Pairs in Tweet in G10:
[65] covid,19 [32] 19,june [32] june,thank [32] thank,god [32] god,vaccinated [32] vaccinated,much [32] much,worse [31] doctor_iver,covid [17] increasingly,hard [17] hard,ignore Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: