The graph represents a network of 8,346 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, 05 October 2021 at 11:18 UTC.
The requested start date was Tuesday, 05 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, 14-hour, 49-minute period from Thursday, 30 September 2021 at 21:36 UTC to Monday, 04 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 : 8346
Unique Edges : 5406
Edges With Duplicates : 14198
Total Edges : 19604
Number of Edge Types : 5
Retweet : 5094
MentionsInRetweet : 7051
Replies to : 1574
Mentions : 4924
Tweet : 961
Self-Loops : 1035
Reciprocated Vertex Pair Ratio : 0.0153737942122187
Reciprocated Edge Ratio : 0.0302820385947551
Connected Components : 941
Single-Vertex Connected Components : 264
Maximum Vertices in a Connected Component : 2790
Maximum Edges in a Connected Component : 9490
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.838977
Graph Density : 0.00014508803419282
Modularity : 0.499693
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,346 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, 05 October 2021 at 11:18 UTC.
The requested start date was Tuesday, 05 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, 14-hour, 49-minute period from Thursday, 30 September 2021 at 21:36 UTC to Monday, 04 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:
[713] 国立感染研がデルタ株流行前の札幌市で,ノーマスク集団に対応した市職員など6名からデルタ株感染を認めた事例の報告を出している [712] sukunabikona7,国立感染研がデルタ株流行前の札幌市で [585] vaccine,safe [578] safe,mix [578] mix,match [578] match,vaccines [577] told,young [577] young,men [577] men,take [577] take,moderna Top Word Pairs in Tweet in G1:
[664] 国立感染研がデルタ株流行前の札幌市で,ノーマスク集団に対応した市職員など6名からデルタ株感染を認めた事例の報告を出している [663] sukunabikona7,国立感染研がデルタ株流行前の札幌市で [23] 論文化,32 [23] 32,451名が参加者して接種完了後約4カ月半フォローしたアストラゼネカワクチンの臨床第3相試験結果 [23] 451名が参加者して接種完了後約4カ月半フォローしたアストラゼネカワクチンの臨床第3相試験結果,全体の有効性は74 [23] 全体の有効性は74,65 [23] 65,歳以上では83 [23] 歳以上では83,接種群に重症例なし [23] 接種群に重症例なし,偽薬群で8例 [23] 偽薬群で8例,phase Top Word Pairs in Tweet in G2:
[575] safe,mix [575] mix,match [575] match,vaccines [574] told,young [574] young,men [574] men,take [574] take,moderna [574] moderna,vaccine [574] vaccine,safe [573] ezralevant,told Top Word Pairs in Tweet in G3:
[109] davidpujadas,pascalpraud [109] pascalpraud,brevesdepresse [83] gino_2019_ncov,davidpujadas [34] canada,équipe [34] équipe,football [34] football,gee [34] gee,gees [34] gees,université [34] université,ottawa [34] ottawa,deuil Top Word Pairs in Tweet in G4:
[173] #covid19,vaccine [113] booster,shot [103] receive,booster [98] shot,pfizer [98] markensysteme,ggkuhnle [98] ggkuhnle,berfliegertief1 [98] berfliegertief1,profdtschneider [98] profdtschneider,who_europe [98] who_europe,ecdc_eu [98] ecdc_eu,vercheckt Top Word Pairs in Tweet in G5:
[265] cdc에서는,아예 [265] 아예,기저 [265] 기저,질환이 [265] 질환이,있으면 [265] 있으면,부스터를 [265] 부스터를,맞아야 [265] 맞아야,한다 [265] 한다,라고 [265] 라고,단언하는 [265] 단언하는,중 Top Word Pairs in Tweet in G6:
[261] 札幌市でデルタ株が流行する前の7月にノーマスク集団に接触した市職員など6名がデルタ株に感染した件,国立感染症研究所のゲノム解析の結果 [261] 国立感染症研究所のゲノム解析の結果,解析可能だった4人の検体のうち3人のゲノムが完全に一致し [261] 解析可能だった4人の検体のうち3人のゲノムが完全に一致し,残りの一名は僅か1塩基違いだったとのこと [260] q44bh4ad6wzu8pv,札幌市でデルタ株が流行する前の7月にノーマスク集団に接触した市職員など6名がデルタ株に感染した件 [36] sukunabikona7,国立感染研がデルタ株流行前の札幌市で [36] 国立感染研がデルタ株流行前の札幌市で,ノーマスク集団に対応した市職員など6名からデルタ株感染を認めた事例の報告を出している [23] ノーマスク集団に押しかけられて札幌市職員3名が同時期に新型コロナに罹患した件,当該グループはほぼ全員がマスク非着用であり少なくとも1名は咳をしていた [23] 当該グループはほぼ全員がマスク非着用であり少なくとも1名は咳をしていた,この集団から他にも感染が拡がっていた [23] この集団から他にも感染が拡がっていた,等の詳細な報告が出ていました [22] mostsouthguitar,ノーマスク集団に押しかけられて札幌市職員3名が同時期に新型コロナに罹患した件 Top Word Pairs in Tweet in G7:
[106] covid,19 [25] ncov,19 [23] chadox1,ncov [23] 2021,10 [17] 19,vaccine [14] 2019,ncov [14] 19,vaccines [11] #보건복지부,#klab [11] #klab,#korea [11] #korea,#covid19 Top Word Pairs in Tweet in G8:
[92] fully,#vaccinated [92] #vaccinated,#covid19 [92] mask,indoors [89] #covid19,causing [65] causing,infection [56] infection,severe [54] #covid19,wear [54] wear,mask [54] stop,#covid19 [53] severe,illness Top Word Pairs in Tweet in G9:
[419] #新型コロナウイルス,感染症情報 [413] ibaraki_kouhou,#新型コロナウイルス [317] うち重症者数,10名 [317] 10名,詳しくはこちらをご覧ください [132] 感染症情報,10月3日 [132] 10月3日,本日の新規陽性者数 [132] 本日の新規陽性者数,9名 [132] 9名,本日の死亡者数 [132] 本日の死亡者数,1名 [132] 1名,本日の退院等回復者数 Top Word Pairs in Tweet in G10:
[6] geoffschuler,guns_west [6] guns_west,skepticalmutant [6] skepticalmutant,maureenstroud [6] maureenstroud,tony__heller [6] tony__heller,bosky83 [6] bosky83,provaxtexan [5] great,#scamdemic [5] #scamdemic,2020 [5] 2020,2021 [5] 2021,quantified Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: