The graph represents a network of 8,440 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, 17 September 2021 at 09:09 UTC.
The requested start date was Friday, 17 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, 34-minute period from Tuesday, 14 September 2021 at 04:51 UTC to Thursday, 16 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 : 8440
Unique Edges : 4312
Edges With Duplicates : 14958
Total Edges : 19270
Number of Edge Types : 5
MentionsInRetweet : 6907
Replies to : 1145
Retweet : 5587
Mentions : 4732
Tweet : 899
Self-Loops : 940
Reciprocated Vertex Pair Ratio : 0.0112204932782894
Reciprocated Edge Ratio : 0.0221919815764681
Connected Components : 894
Single-Vertex Connected Components : 240
Maximum Vertices in a Connected Component : 5082
Maximum Edges in a Connected Component : 14940
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.860604
Graph Density : 0.000134123952827905
Modularity : 0.484228
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,440 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, 17 September 2021 at 09:09 UTC.
The requested start date was Friday, 17 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, 34-minute period from Tuesday, 14 September 2021 at 04:51 UTC to Thursday, 16 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:
[999] against,#covid19 [928] vaccinated,against [806] cdcgov,fact [774] trying,pregnant [773] fact,vaccinated [773] #covid19,re [773] re,trying [773] pregnant,future [773] future,evidence [773] evidence,date Top Word Pairs in Tweet in G1:
[973] against,#covid19 [905] vaccinated,against [799] cdcgov,fact [764] fact,vaccinated [764] #covid19,re [764] re,trying [764] trying,pregnant [764] pregnant,future [764] future,evidence [764] evidence,date Top Word Pairs in Tweet in G2:
[380] govrondesantis,someone [380] someone,stand [380] stand,behind [380] behind,seal [380] seal,florida [380] florida,vaccine [380] vaccine,changes [380] changes,rna [379] moments,ago [379] ago,govrondesantis Top Word Pairs in Tweet in G3:
[32] strategieduchoc,mammiebocockiq [31] gino_2019_ncov,zyrs10 [31] zyrs10,nuxbsd [31] nuxbsd,maya29854628 [31] maya29854628,strategieduchoc [31] mammiebocockiq,cab2626 [27] 01stdenis,gino_2019_ncov [24] justindoigt2,didiermaisto [24] veritebeaute,leonna_julie [24] leonna_julie,leopadanofe Top Word Pairs in Tweet in G4:
[289] #新型コロナウイルス,感染症情報 [285] ibaraki_kouhou,#新型コロナウイルス [201] 県独自の非常事態宣言の解除について,新規感染者数の減少や病床稼働数の改善により [201] 新規感染者数の減少や病床稼働数の改善により,県独自の宣言を9月19日 [201] 県独自の宣言を9月19日,日 [201] 日,で解除します [201] で解除します,国の緊急事態宣言は継続となりますので [201] 国の緊急事態宣言は継続となりますので,引き続き営業時間の短縮など [201] 引き続き営業時間の短縮など,対策にご協力をお願いいたします [200] ibaraki_kouhou,県独自の非常事態宣言の解除について Top Word Pairs in Tweet in G5:
[289] latest,numbers [289] numbers,myocarditis [289] myocarditis,canada [289] canada,vax [289] vax,highest [289] highest,rate [289] rate,seen [289] seen,men [289] men,18 [289] 18,24 Top Word Pairs in Tweet in G6:
[296] 複数機関でまとめたコロナ孤児の調査報告,衝撃的内容 [296] 衝撃的内容,父か母 [296] 父か母,もしくは祖父母 [296] もしくは祖父母,養育に中心的に関わる [296] 養育に中心的に関わる,を失った子供は [296] を失った子供は,全世界で180万人と推定 [296] 全世界で180万人と推定,父か母または両方を失った子供は [296] 父か母または両方を失った子供は,米国だけで11万6千人以上もいる [296] 米国だけで11万6千人以上もいる,本当に悲しい現実 [295] satoruo,複数機関でまとめたコロナ孤児の調査報告 Top Word Pairs in Tweet in G7:
[96] covid,19 [13] learn,more [13] 19,vaccines [9] 19,vaccine [8] fully,vaccinated [8] ncov,19 [8] 2021,09 [8] 2019,ncov [8] 12,schools [8] #보건복지부,#klab Top Word Pairs in Tweet in G8:
[135] covid19times_pr,練馬区 [103] 接種日は,10月9日 [96] nerima_tokyo,住民接種担当課です [83] 住民接種担当課です,追加でモデルナ社製のワクチンを確保したため [83] 追加でモデルナ社製のワクチンを確保したため,臨時会場を [83] 臨時会場を,練馬区職員研修所 [83] 練馬区職員研修所,に設置し [83] に設置し,接種予約を9月16日 [83] 接種予約を9月16日,木曜 [83] 木曜,午後5時から受け付けます Top Word Pairs in Tweet in G9:
[9] side,effects [5] effects,already [4] gnf_jay,apfactcheck [4] potential,side [4] live,virus [4] 2019,ncov [3] ravenscimaven,nickiminaj [3] tatiannanow,nickiminaj [3] cdc,website [3] totallynotlux,nickiminaj Top Word Pairs in Tweet in G10:
[11] 2019,ncov [11] ginapro,thatsnotmine125 [10] maureenstroud,barryjohnreid21 [9] bebert701,pawley_robert [9] rtheatheist,wjack76995 [9] temple_surly,nyob7714 [9] nyob7714,bat92799926 [9] bat92799926,themarcam [9] tampa_egret,fredwibblington [9] fredwibblington,kathmarval Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: