The graph represents a network of 8,551 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 Tuesday, 13 December 2022 at 08:16 UTC.
The requested start date was Tuesday, 13 December 2022 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 4-day, 0-hour, 18-minute period from Thursday, 08 December 2022 at 11:58 UTC to Monday, 12 December 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 : 8551
Unique Edges : 4047
Edges With Duplicates : 12271
Total Edges : 16318
Number of Edge Types : 5
Retweet : 5492
MentionsInRetweet : 6146
Tweet : 2656
Mentions : 1509
Replies to : 515
Self-Loops : 2736
Reciprocated Vertex Pair Ratio : 0.00369660460021906
Reciprocated Edge Ratio : 0.00736598008457236
Connected Components : 2128
Single-Vertex Connected Components : 913
Maximum Vertices in a Connected Component : 2372
Maximum Edges in a Connected Component : 5041
Maximum Geodesic Distance (Diameter) : 35
Average Geodesic Distance : 8.848867
Graph Density : 0.000100272120288246
Modularity : 0.50064
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,551 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 Tuesday, 13 December 2022 at 08:16 UTC.
The requested start date was Tuesday, 13 December 2022 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 4-day, 0-hour, 18-minute period from Thursday, 08 December 2022 at 11:58 UTC to Monday, 12 December 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:
[5852] covid,19 [821] ãƒ,ム[301] 19,vaccine [297] æ,æ [285] ประกาศเก,ยวก [276] บผลตรวจ,covid [276] 19,ของ [276] ยวก,บผลตรวจ [274] bnk48official,ประกาศเก [267] contra,covid Top Word Pairs in Tweet in G1:
[847] covid,19 [226] 19特效药,需要的加电报 [226] 需要的加电报,nba123444 [226] #辉瑞新冠疫苗,#paxlovid [226] #新冠口服药,covid [226] covid,19特效药 [226] #辉瑞,#印度仿制药 [226] #印度仿制药,#辉瑞新冠疫苗 [226] #连花清温,#新冠口服药 [226] #paxlovid,#抗原 Top Word Pairs in Tweet in G2:
[186] react19,co [186] tells,secrets [186] during,astrazeneca [186] watch,react19 [186] dressen,injured [186] astrazeneca,trial [186] trial,tells [186] founder,brianne [186] injured,during [186] co,founder Top Word Pairs in Tweet in G3:
[290] covid,19 [156] millions,people [155] need,nuremberg [155] jail,time [155] entire,covid [155] 19,mafia [155] people,need [155] time,one [155] much,jail [155] one,killing Top Word Pairs in Tweet in G4:
[634] covid,19 [162] combate,covid [162] mascarilla,vacunas [162] 19,mejor [134] 19,enfermedad [132] saber,covid [132] causada,virus [132] enfermedad,causada [132] virus,deteriora [132] deteriora,nuestro Top Word Pairs in Tweet in G5:
[305] covid,19 [285] ประกาศเก,ยวก [276] 19,ของ [276] ยวก,บผลตรวจ [276] บผลตรวจ,covid [274] bnk48official,ประกาศเก [195] มรภ,ส [195] พ,มรภ [195] โมบายล,พ [170] ป,ญ Top Word Pairs in Tweet in G6:
[166] verdade,dossiê [166] quando,disse [166] juramento,quando [166] uma,bomba [166] congresso,sob [166] factual,fauci [166] mentiu,congresso [166] querem,uma [166] fauci,prova [166] fauci,mentiu Top Word Pairs in Tweet in G7:
[149] covid,19 [98] put,inside [98] blood,react [98] body,well [98] imagine,being [98] see,blood [98] vaccine,before [98] inside,body [98] react,covid [98] being,see Top Word Pairs in Tweet in G8:
[90] covid,19 [20] voici,comment [20] prépare,l'opinion [20] l'opinion,publique [20] massive,cours [20] vaccination,covid [20] augmentation,massive [20] 19,voici [20] publique,augmentation [20] cours,venir Top Word Pairs in Tweet in G9:
[62] covid,19 [30] fauci,lied [29] dr,fauci [28] lied,herd [28] herd,immunity [28] immunity,natural [28] lied,masks [28] masks,lied [28] natural,immunity [28] immunity,vaccines Top Word Pairs in Tweet in G10:
[66] covid,19 [47] 19,relief [47] desantis,used [47] fund,illegal [47] trafficking,operation [47] relief,funds [47] interest,covid [47] funds,fund [47] operation,sponsor [47] illegal,human 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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