The graph represents a network of 10,556 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 14 December 2022 at 08:46 UTC.
The requested start date was Wednesday, 14 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, 4-minute period from Friday, 09 December 2022 at 12:15 UTC to Tuesday, 13 December 2022 at 12:19 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 : 10556
Unique Edges : 6329
Edges With Duplicates : 11752
Total Edges : 18081
Number of Edge Types : 5
Retweet : 5310
MentionsInRetweet : 6445
Tweet : 2645
Replies to : 1427
Mentions : 2254
Self-Loops : 2675
Reciprocated Vertex Pair Ratio : 0.00428646105593309
Reciprocated Edge Ratio : 0.00853633145950448
Connected Components : 2505
Single-Vertex Connected Components : 724
Maximum Vertices in a Connected Component : 2795
Maximum Edges in a Connected Component : 6180
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 8.969822
Graph Density : 8.62154229572841E-05
Modularity : 0.577402
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 10,556 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 14 December 2022 at 08:46 UTC.
The requested start date was Wednesday, 14 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, 4-minute period from Friday, 09 December 2022 at 12:15 UTC to Tuesday, 13 December 2022 at 12:19 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
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:
[2125] covid,19 [278] ประกาศเก,ยวก [276] 19,ของ [236] ของ,ป [205] result,covid [204] 19,test [202] ศ,ภการ [202] announcement,result [202] จ,รโชต [202] อ,ศ Top Word Pairs in Tweet in G1:
[186] covid,19 [63] 19特效药,需要的加电报 [63] 需要的加电报,nba123444 [63] #辉瑞新冠疫苗,#paxlovid [63] #新冠口服药,covid [63] covid,19特效药 [63] #辉瑞,#印度仿制药 [63] #印度仿制药,#辉瑞新冠疫苗 [63] #连花清温,#新冠口服药 [63] #paxlovid,#抗原 Top Word Pairs in Tweet in G2:
[54] died,covid [48] million,americans [47] covid,tweet [47] americans,died [46] jreinermd,million [41] welcome,back [27] rwmalonemd,p_mcculloughmd [25] elonmusk,twitter [25] covid,19 [24] twitter,files Top Word Pairs in Tweet in G3:
[66] ce,matin [37] sang,ce [37] non,bien [37] lui,réponds [37] vacciné,lui [37] bien,dit [37] m'interroge,êtes [37] prise,sang [37] réponds,non [37] êtes,vacciné Top Word Pairs in Tweet in G4:
[404] covid,19 [202] 19,test [202] ภการ,จ [202] result,covid [202] ของ,ป [202] ก,ล [202] ยวก,บผลการตรวจ [202] ศ,ภการ [202] ล,announcement [202] 19,ของ Top Word Pairs in Tweet in G5:
[332] covid,19 [73] contra,covid [65] virus,deteriora [65] enfermedad,causada [65] 19,enfermedad [65] importante,saber [65] causada,virus [65] nuestro,sistema [65] deteriora,nuestro [65] saber,covid Top Word Pairs in Tweet in G6:
[199] manuelrico,hoy [147] hospital,residentes [147] gobierno,ayuso [147] trasladar,hospital [117] protocolo,impedía [117] impedía,trasladar [117] días,gobierno [117] aprobó,protocolo [117] ayuso,aprobó [64] 000,días Top Word Pairs in Tweet in G7:
[12] covid,19 [10] immune,dysregulation [9] people,seem [9] precautions,same [9] dysregulation,dysfunction [9] reason,hearing [9] covid,ok [9] same,people [9] covid,reference [9] people,dropping Top Word Pairs in Tweet in G8:
[13] updated,covid [10] covid,vaccine [6] zero,covid [6] getting,updated [5] healthy,happy [5] season,loved [5] ones,find [5] best,protection [5] vaccine,ensure [5] happy,holiday Top Word Pairs in Tweet in G9:
[31] long,covid [17] public,health [17] massively,exaggerated [17] health,officials [17] officials,massively [15] covid,scare [15] exaggerated,long [15] risk,americans [15] bundestags,vize [15] scare,low Top Word Pairs in Tweet in G10:
[70] never,existed [70] before,anthony [70] anthony,fauci [70] existed,before [35] fauci,entered [35] funded,gain [35] fauci,funded [35] entered,government [35] aids,never [35] government,covid Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
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:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: