The graph represents a network of 11,003 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 Saturday, 16 January 2021 at 08:23 UTC.
The requested start date was Saturday, 16 January 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 2-day, 0-hour, 2-minute period from Wednesday, 13 January 2021 at 13:42 UTC to Friday, 15 January 2021 at 13:45 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 : 11003
Unique Edges : 6930
Edges With Duplicates : 13189
Total Edges : 20119
Number of Edge Types : 5
Tweet : 3531
Mentions : 2858
Retweet : 5698
MentionsInRetweet : 7608
Replies to : 424
Self-Loops : 3573
Reciprocated Vertex Pair Ratio : 0.00580743759551707
Reciprocated Edge Ratio : 0.011547811993517
Connected Components : 3420
Single-Vertex Connected Components : 1021
Maximum Vertices in a Connected Component : 741
Maximum Edges in a Connected Component : 3566
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.058026
Graph Density : 8.15497047680953E-05
Modularity : 0.551885
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 11,003 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 Saturday, 16 January 2021 at 08:23 UTC.
The requested start date was Saturday, 16 January 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 2-day, 0-hour, 2-minute period from Wednesday, 13 January 2021 at 13:42 UTC to Friday, 15 January 2021 at 13:45 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:
[6848] covid,19 [600] contra,covid [390] 19,vaccine [256] uso,sputnik [254] minsaludve,aprobó [254] aprobó,uso [251] vacuna,segura [248] segura,eficaz [247] sputnik,vacuna [222] día,#graciasrusia Top Word Pairs in Tweet in G1:
[884] covid,19 [56] 19,vaccine [54] contra,covid [25] 19,pandemic [23] 19,cases [19] vaksinasi,covid [14] during,covid [14] casos,covid [13] #covid,19 [13] 19,vaccination Top Word Pairs in Tweet in G2:
[321] covid,19 [256] uso,sputnik [254] minsaludve,aprobó [254] aprobó,uso [251] vacuna,segura [248] segura,eficaz [247] sputnik,vacuna [222] día,#graciasrusia [215] etiqueta,día [215] #graciasrusia,minsaludve Top Word Pairs in Tweet in G3:
[102] covid,19 [47] reitor,universidade [34] contra,covid [33] presidente,jairbolsonaro [31] máscaras,caem [31] caem,esse [31] esse,ex [31] ex,reitor [31] universidade,federal [31] federal,pelotas Top Word Pairs in Tweet in G4:
[132] covid,19 [107] uk,tragically [107] tragically,hits [107] hits,record [107] record,number [107] number,covid [107] 19,deaths [107] deaths,covid [107] covid,sceptic [107] sceptic,chief Top Word Pairs in Tweet in G5:
[98] ワケ分かんない連中,covid [98] covid,19 [98] 19,が攻めてきてんのよ [98] が攻めてきてんのよ,降りかかる火の粉は払いのけるのが [98] 降りかかる火の粉は払いのけるのが,あったり前じゃない [97] 386miyamura,ワケ分かんない連中 [21] ちなみに樋口監督は,covid [21] covid,19禍でリモートが続いて自宅にいる間にお菓子作りがもはやプロ級になったともっぱらの噂 [20] ikuto_yamashita,ちなみに樋口監督は [20] シン,エヴァンゲリオン劇場版は完成していてもうどこへも逃げませんから Top Word Pairs in Tweet in G6:
[34] covid,19 [18] soberana,respuesta [18] bloqueo,pandemia [14] #cubaviva,granma_digital [13] ciencia,cubana [13] respuesta,cuba [13] cuba,bloqueo [11] cubana,buenas [11] buenas,noticias [11] pandemia,#cubaviva Top Word Pairs in Tweet in G7:
[60] covid,19 [20] launch,pan [20] pan,india [20] india,rollout [20] rollout,covid [20] 19,vaccination [20] vaccination,drive [17] 16,january [15] narendramodi,launch [12] prime,minister Top Word Pairs in Tweet in G8:
[22] covid,19 [12] contra,covid [6] vacunación,contra [6] ministro,fruizgomez [6] ocaso,trum [6] trum,lanzó [6] lanzó,ocaso [6] ocaso,pre [6] pre,duque [6] duque,cuestionado Top Word Pairs in Tweet in G9:
[88] people,dead [88] dead,capital [88] capital,riot [88] riot,terrible [88] terrible,trump [88] trump,lit [88] lit,fuse [88] fuse,400 [88] 400,000 [88] 000,americans Top Word Pairs in Tweet in G10:
[54] covid,19 [15] re,teeth [15] teeth,crisis [15] crisis,need [15] need,take [15] take,immediate [15] immediate,action [15] action,virus [15] virus,under [15] under,control 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: