The graph represents a network of 7,902 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 Tuesday, 26 October 2021 at 11:15 UTC.
The requested start date was Tuesday, 26 October 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 3-day, 16-hour, 22-minute period from Thursday, 21 October 2021 at 20:04 UTC to Monday, 25 October 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 : 7902
Unique Edges : 5283
Edges With Duplicates : 13729
Total Edges : 19012
Number of Edge Types : 5
Replies to : 2141
Mentions : 5461
Retweet : 4438
MentionsInRetweet : 5891
Tweet : 1081
Self-Loops : 1129
Reciprocated Vertex Pair Ratio : 0.0270801485040402
Reciprocated Edge Ratio : 0.0527322985328514
Connected Components : 974
Single-Vertex Connected Components : 271
Maximum Vertices in a Connected Component : 3520
Maximum Edges in a Connected Component : 11424
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.617584
Graph Density : 0.000150655810863178
Modularity : 0.472758
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,902 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 Tuesday, 26 October 2021 at 11:15 UTC.
The requested start date was Tuesday, 26 October 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 3-day, 16-hour, 22-minute period from Thursday, 21 October 2021 at 20:04 UTC to Monday, 25 October 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:
[719] covid,19 [691] #新型コロナウイルス,感染症情報 [685] ibaraki_kouhou,#新型コロナウイルス [459] 本日の新規陽性者数,0名 [459] 0名,本日の退院等回復者数 [402] うち重症者数,4名 [299] 感染症情報,10月24日 [299] 10月24日,本日の新規陽性者数 [299] 本日の退院等回復者数,5名 [299] 5名,現在の入院者数 Top Word Pairs in Tweet in G1:
[102] trois,jours [80] louan07,complotismus [69] plus,tard [68] complotismus,gino_2019_ncov [67] gino_2019_ncov,jeune [66] jeune,brésilienne [66] brésilienne,cicera [66] cicera,santos [66] santos,pris [66] pris,pfizer Top Word Pairs in Tweet in G2:
[684] #新型コロナウイルス,感染症情報 [678] ibaraki_kouhou,#新型コロナウイルス [456] 本日の新規陽性者数,0名 [456] 0名,本日の退院等回復者数 [398] うち重症者数,4名 [296] 感染症情報,10月24日 [296] 10月24日,本日の新規陽性者数 [296] 本日の退院等回復者数,5名 [296] 5名,現在の入院者数 [296] 現在の入院者数,15名 Top Word Pairs in Tweet in G3:
[231] covid,19 [119] fully,vaccinated [103] data,show [103] show,covid [103] 19,associated [103] associated,hospitalization [103] hospitalization,rates [103] rates,higher [103] higher,unvaccinated [103] unvaccinated,people Top Word Pairs in Tweet in G4:
[113] covid,19 [33] ncov,19 [32] chadox1,ncov [32] 2019,ncov [19] 19,vaccine [19] sars,cov [14] learn,more [12] 19,vaccines [12] 2021,10 [12] scholars,portal Top Word Pairs in Tweet in G5:
[194] 19,more [193] vaccine,adverse [193] adverse,events [193] events,ontario [193] ontario,oct [193] oct,11 [193] 11,oct [193] oct,17 [193] 17,reporting [193] reporting,rate Top Word Pairs in Tweet in G6:
[223] 2nd,shot [222] rate,myocarditis [222] myocarditis,pericarditis [222] pericarditis,young [222] young,males [222] males,#ontario [222] #ontario,2nd [222] shot,stands [222] stands,above [222] above,rest Top Word Pairs in Tweet in G7:
[9] genetic,sequencing [8] sequencing,used [8] used,identify [5] identify,track [5] track,variants [3] identify,variants [3] covid,19 [2] false,genetic [2] genomic,surveillance [2] acting,ccp Top Word Pairs in Tweet in G8:
[126] 10,000 [126] 000,risk [126] risk,transmission [126] transmission,surfaces [126] surfaces,conditional [126] conditional,surface [126] surface,actually [126] actually,having [126] having,virus [126] virus,going Top Word Pairs in Tweet in G9:
[189] の新型コロナウイルス感染症の情報,新規感染者数 [189] 詳細データについてはこちらからご覧ください,県ホームページの更新は翌日になります [56] 10月24日,日 [56] 日,の新型コロナウイルス感染症の情報 [56] 新規感染者数,2人 [56] 2人,詳細データについてはこちらからご覧ください [55] chibaken_kouhou,10月24日 [51] 10月22日,金 [51] 金,の新型コロナウイルス感染症の情報 [51] 新規感染者数,5人 Top Word Pairs in Tweet in G10:
[102] カナダ,オンタリオ州12 [102] オンタリオ州12,17歳男子の [102] 17歳男子の,による心筋炎発生率の推移 [102] による心筋炎発生率の推移,の有効性が週単位で落ちるのと逆に [102] の有効性が週単位で落ちるのと逆に,週単位で心筋炎発生率上昇 [102] 週単位で心筋炎発生率上昇,当初 [102] 当初,心筋炎も100万人に1人とか言われていたんだけどね [101] j_sato,カナダ [7] 死亡証明書,剖検 [7] 剖検,カルテなど Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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 G5:
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Top Tweeters in G10: