The graph represents a network of 8,559 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 Wednesday, 10 November 2021 at 09:53 UTC.
The requested start date was Wednesday, 10 November 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 3-day, 18-hour, 51-minute period from Friday, 05 November 2021 at 17:36 UTC to Tuesday, 09 November 2021 at 12:27 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 : 8559
Unique Edges : 5121
Edges With Duplicates : 12089
Total Edges : 17210
Number of Edge Types : 5
Replies to : 1723
Mentions : 3793
Retweet : 4792
MentionsInRetweet : 5831
Tweet : 1071
Self-Loops : 1118
Reciprocated Vertex Pair Ratio : 0.014339289653651
Reciprocated Edge Ratio : 0.0282731622444541
Connected Components : 1155
Single-Vertex Connected Components : 295
Maximum Vertices in a Connected Component : 4047
Maximum Edges in a Connected Component : 11145
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.812058
Graph Density : 0.000125546223686728
Modularity : 0.525963
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,559 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 Wednesday, 10 November 2021 at 09:53 UTC.
The requested start date was Wednesday, 10 November 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 3-day, 18-hour, 51-minute period from Friday, 05 November 2021 at 17:36 UTC to Tuesday, 09 November 2021 at 12:27 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:
[803] covid,19 [791] children,ages [525] cdc,recommends [503] recommends,children [462] vaccinated,against [449] against,#covid19 [388] #新型コロナウイルス,感染症情報 [383] ibaraki_kouhou,#新型コロナウイルス [363] #covid19,vaccine [345] ages,11 Top Word Pairs in Tweet in G1:
[760] children,ages [487] cdc,recommends [487] recommends,children [439] vaccinated,against [433] against,#covid19 [340] #covid19,vaccine [329] ages,11 [316] #covid19,vaccination [313] ages,vaccinated [309] parents,caregivers Top Word Pairs in Tweet in G2:
[39] jaimehorta17,peterbobbaze [38] gino_2019_ncov,jaimehorta17 [30] après,pfizer [29] médias,n'arrivent [29] n'arrivent,cacher [29] cacher,dégâts [29] dégâts,puisque [29] puisque,c'est [29] c'est,direct [29] direct,gino_2019_ncov Top Word Pairs in Tweet in G3:
[177] covid,19 [36] 19,vaccine [21] learn,more [19] ncov,19 [19] 19,vaccination [17] 19,vaccines [17] 2019,ncov [17] chadox1,ncov [15] fully,vaccinated [14] sars,cov Top Word Pairs in Tweet in G4:
[194] oms,sinopharm [194] sinopharm,recomendada [194] recomendada,menores [194] menores,18 [194] 18,28 [194] 28,octubre [194] octubre,2021 [194] 2021,entiende [194] entiende,aberrante [194] aberrante,argentina Top Word Pairs in Tweet in G5:
[154] vaccine,adverse [154] adverse,events [154] events,ontario [154] ontario,oct [154] oct,25 [154] 25,oct [154] oct,31 [154] 31,reporting [154] reporting,rate [154] rate,again Top Word Pairs in Tweet in G6:
[161] 数週間後の重症者数や病床使用率などが推計できる,予測ツール [161] 予測ツール,を用いて [161] を用いて,都道府県ごとに判断 [161] 都道府県ごとに判断,この [161] この,予測ツール [161] 予測ツール,どうもこれのようです [160] curioshiki,数週間後の重症者数や病床使用率などが推計できる [160] どうもこれのようです,なんとexc [5] 2019,ncov [5] ncov,新型コロナウイルス Top Word Pairs in Tweet in G7:
[386] #新型コロナウイルス,感染症情報 [381] ibaraki_kouhou,#新型コロナウイルス [297] うち重症者数,1名 [297] 1名,詳しくはこちらをご覧ください [197] 現在の入院者数,11名 [197] 11名,うち重症者数 [186] 本日の新規陽性者数,2名 [186] 2名,本日の退院等回復者数 [103] 本日の新規陽性者数,1名 [103] 1名,本日の退院等回復者数 Top Word Pairs in Tweet in G8:
[5] chickaboy,frankdelia7 [5] frankdelia7,foofdawg [5] oapym,smyl2day [5] smyl2day,quigley_jesse [5] quigley_jesse,consequentialbr [5] denutrients,dcgreenzone1 [5] dcgreenzone1,ghoppe [5] ghoppe,charastone6 [5] andrewlazarus4,skepticalmutant [5] skepticalmutant,academicshards Top Word Pairs in Tweet in G9:
[24] covid,19 [23] inflammation,heart [21] heart,mrna [21] mrna,covid [21] 19,vaccine [21] bigbird,ericarhill [8] vaccine,norway [8] norway,stopping [8] stopping,astrazeneca [8] janssen,severe Top Word Pairs in Tweet in G10:
[9] patmcafeeshow,aaronrodgers12 [8] polyethylene,glycol [6] cdc,polyethylene [5] glycol,allergy [4] really,cdc [4] pfizer,vaccine [4] vaccine,love [4] love,someone [4] someone,ask [4] ask,aaron Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G8:
Top Replied-To in G9:
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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G10: