The graph represents a network of 8,140 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 Sunday, 26 September 2021 at 09:25 UTC.
The requested start date was Sunday, 26 September 2021 at 00:01 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, 7-hour, 30-minute period from Wednesday, 22 September 2021 at 04:56 UTC to Friday, 24 September 2021 at 12:26 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 : 8140
Unique Edges : 4770
Edges With Duplicates : 12640
Total Edges : 17410
Number of Edge Types : 5
Replies to : 1995
Mentions : 4112
Tweet : 998
Retweet : 4597
MentionsInRetweet : 5708
Self-Loops : 1038
Reciprocated Vertex Pair Ratio : 0.0220472440944882
Reciprocated Edge Ratio : 0.0431432973805855
Connected Components : 930
Single-Vertex Connected Components : 337
Maximum Vertices in a Connected Component : 4752
Maximum Edges in a Connected Component : 12672
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 10.686714
Graph Density : 0.000137144147464826
Modularity : 0.497615
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,140 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 Sunday, 26 September 2021 at 09:25 UTC.
The requested start date was Sunday, 26 September 2021 at 00:01 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, 7-hour, 30-minute period from Wednesday, 22 September 2021 at 04:56 UTC to Friday, 24 September 2021 at 12:26 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:
[1314] guidance,digital [1314] gates,rockefeller [1311] rockefeller,foundation [1310] bill,gates [1309] vaccine,passports [1308] pushing,guidance [1308] digital,vaccine [1308] passports,funding [1308] funding,bill [1306] emeraldrobinson,pushing Top Word Pairs in Tweet in G1:
[1304] guidance,digital [1299] vaccine,passports [1299] bill,gates [1299] gates,rockefeller [1299] rockefeller,foundation [1298] pushing,guidance [1298] digital,vaccine [1298] passports,funding [1298] funding,bill [1297] emeraldrobinson,pushing Top Word Pairs in Tweet in G2:
[53] merci,revoltes [53] revoltes,cette [53] cette,information [53] information,intéressante [53] intéressante,teicoplanine [53] teicoplanine,bloque [53] bloque,puissamment [53] puissamment,l'entrée [53] l'entrée,cellulaire [53] cellulaire,2019 Top Word Pairs in Tweet in G3:
[206] parents,caregivers [200] covid,19 [161] vaccinated,against [158] spread,#covid19 [154] slow,spread [154] kids,12 [154] against,covid [153] school,year [152] caregivers,slow [152] #covid19,school Top Word Pairs in Tweet in G4:
[109] covid,19 [29] l'oci,nocturn [28] restauració,fins [28] nocturn,l'exterior [28] l'exterior,fins [27] fins,matinada [26] mesures,contra [26] horari,restauració [25] learn,more [24] contra,covid Top Word Pairs in Tweet in G5:
[239] vaccine,adverse [239] adverse,events [239] events,ontario [239] ontario,sep [239] sep,12 [239] 12,sep [239] sep,18 [239] 18,reporting [239] reporting,rate [239] rate,increasing Top Word Pairs in Tweet in G6:
[15] covid,19 [11] 19,vaccine [10] inflammation,heart [10] heart,mrna [10] mrna,covid [7] barryjohnreid21,burgerlab12 [7] burgerlab12,andylumm [7] fully,developing [7] developing,myocarditis [7] myocarditis,inflammation Top Word Pairs in Tweet in G7:
[340] #新型コロナウイルス,感染症情報 [336] ibaraki_kouhou,#新型コロナウイルス [204] うち重症者数,17名 [204] 17名,詳しくはこちらをご覧ください [132] 感染症情報,9月22日 [132] 9月22日,本日の新規陽性者数 [132] 本日の新規陽性者数,27名 [132] 27名,本日の退院等回復者数 [132] 本日の退院等回復者数,103名 [132] 103名,現在の入院者数 Top Word Pairs in Tweet in G8:
[5] pcr,test [5] recruitment,need [5] need,job [5] job,non [5] non,permanent [5] permanent,doh5814 [5] doh5814,cdc [5] cdc,camps [3] blakeblomquist,vice [3] isolated,case Top Word Pairs in Tweet in G9:
[118] sanidadgob,actualización [82] actualización,informe [82] informe,actividad [82] actividad,#vacunación [82] #vacunación,españa [82] españa,cuadro [82] cuadro,mando [44] actualización,datos [44] datos,#covid19 [44] #covid19,infografías Top Word Pairs in Tweet in G10:
[85] 沖縄県における新型コロナウイルス感染症推定感染場所に基づく患者数の傾向の把握,全体の患者数のピークの直前で会食がピークに達し [85] 全体の患者数のピークの直前で会食がピークに達し,その後に家庭がピークに達するパターンを繰り返していた [84] earl_covid19_tw,沖縄県における新型コロナウイルス感染症推定感染場所に基づく患者数の傾向の把握 [9] いくらでも出てるぞ,感染リスク低減はデルタ株出てからあまり期待はできないけど [9] 感染リスク低減はデルタ株出てからあまり期待はできないけど,発症予防効果 [9] 発症予防効果,重症化予防効果とかは全然期待できる [9] 重症化予防効果とかは全然期待できる,というかまだ有害事象と副反応区別できてなさそうだな [8] orchid_kuri,いくらでも出てるぞ [5] 練馬区,ワクチン予約 [5] ワクチン予約,9月22日午後6時現在 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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: