The graph represents a network of 7,575 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 26 February 2021 at 10:29 UTC.
The requested start date was Friday, 26 February 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, 20-hour, 7-minute period from Monday, 22 February 2021 at 17:38 UTC to Thursday, 25 February 2021 at 13:46 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 : 7575
Unique Edges : 3352
Edges With Duplicates : 12769
Total Edges : 16121
Number of Edge Types : 5
Retweet : 5307
MentionsInRetweet : 6569
Replies to : 777
Mentions : 2068
Tweet : 1400
Self-Loops : 1431
Reciprocated Vertex Pair Ratio : 0.00503778337531486
Reciprocated Edge Ratio : 0.0100250626566416
Connected Components : 1153
Single-Vertex Connected Components : 450
Maximum Vertices in a Connected Component : 2812
Maximum Edges in a Connected Component : 7818
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.776382
Graph Density : 0.000132135209824125
Modularity : 0.47392
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 7,575 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 26 February 2021 at 10:29 UTC.
The requested start date was Friday, 26 February 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, 20-hour, 7-minute period from Monday, 22 February 2021 at 17:38 UTC to Thursday, 25 February 2021 at 13:46 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 : NCoV
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:
[1220] covid,19 [657] から,県独自の [657] 県独自の,#緊急事態宣言 [657] #緊急事態宣言,を [657] を,#解除 [657] 県民の皆さまにおかれましては,対策にご協力いただきありがとうございました [657] 対策にご協力いただきありがとうございました,引き続き [548] 本日2月23日,火 [548] 火,祝 [548] 祝,から Top Word Pairs in Tweet in G1:
[654] から,県独自の [654] 県独自の,#緊急事態宣言 [654] #緊急事態宣言,を [654] を,#解除 [654] 県民の皆さまにおかれましては,対策にご協力いただきありがとうございました [654] 対策にご協力いただきありがとうございました,引き続き [546] 本日2月23日,火 [546] 火,祝 [546] 祝,から [546] #解除,いたしました Top Word Pairs in Tweet in G2:
[234] covid,19 [110] many,people [102] #covid19,vaccines [85] people,disabilities [85] disabilities,conditions [85] conditions,diabetes [85] diabetes,cancer [85] cancer,heart [85] heart,disease [85] disease,obesity Top Word Pairs in Tweet in G3:
[241] covid,19 [40] 19,vaccines [38] learn,more [36] 2019,ncov [31] 19,vaccine [20] getting,covid [19] hashtag,2020 [19] 2020,#fwn [19] #fwn,#freeworldnews [19] #freeworldnews,#today Top Word Pairs in Tweet in G4:
[353] #covid19,vaccines [352] covid,19 [351] vaccines,currently [351] currently,authorized [351] authorized,use [351] use,use [351] use,live [351] live,virus [351] virus,causes [351] causes,covid Top Word Pairs in Tweet in G5:
[257] خط,الإتصال [257] الإتصال,الساخن [257] الساخن,لفيروس [257] لفيروس,كورونا [257] كورونا,المستجد [257] المستجد,ncov [257] ncov,2019 [257] 2019,105 [257] 105,و [257] و,15335 Top Word Pairs in Tweet in G6:
[252] puñetero,dato [251] último,informe [251] informe,ministerio [251] ministerio,colegios [251] colegios,léanlo [251] léanlo,desperdicio [251] desperdicio,puñetero [251] dato,brotes [250] ldpsincomplejos,último [2] brotes,contagios Top Word Pairs in Tweet in G7:
[105] datos,#covid19 [70] frente,#covid19 [61] actualización,datos [61] #covid19,infografías [61] infografías,materiales [61] materiales,coronavirus [57] sanidadgob,actualización [46] dosis,distribuidas [44] #covid19,españa [44] españa,primer Top Word Pairs in Tweet in G8:
[138] ventilation,air [138] air,cleaning [105] hepa,filters [95] cdc,suggest [95] suggest,good [95] good,ventilation [95] cleaning,hepa [95] filters,yes [95] yes,buried [95] buried,recent Top Word Pairs in Tweet in G9:
[47] nextstrain,gisaid [33] kemri_wellcome,kemri_kenya [33] kemri_kenya,acegid [32] gisaid,kemri_wellcome [29] cimbiur,fcn_ur [29] acegid,sahealth [28] gisaid,cimbiur [27] rivm,fiocruzamazonia [26] krisp_news,rjlessells [26] rjlessells,tuliodna Top Word Pairs in Tweet in G10:
[51] johnson,scrapped [51] scrapped,cabinet [51] cabinet,pandemic [51] pandemic,committee [33] committee,ignored [27] #torycovidcatastrophe,johnson [17] ignored,#cygnus [17] #cygnus,pandemic [15] march,8th [15] regard,demonstrating Top Replied-To in Entire Graph:
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Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: