The graph represents a network of 6,164 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, 18 March 2022 at 09:19 UTC.
The requested start date was Friday, 18 March 2022 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 4-day, 2-hour, 55-minute period from Sunday, 13 March 2022 at 09:32 UTC to Thursday, 17 March 2022 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 : 6164
Unique Edges : 5802
Edges With Duplicates : 13008
Total Edges : 18810
Number of Edge Types : 5
Retweet : 4438
MentionsInRetweet : 7607
Replies to : 2120
Mentions : 3584
Tweet : 1061
Self-Loops : 1135
Reciprocated Vertex Pair Ratio : 0.0307724513292862
Reciprocated Edge Ratio : 0.0597075548334687
Connected Components : 691
Single-Vertex Connected Components : 245
Maximum Vertices in a Connected Component : 2960
Maximum Edges in a Connected Component : 12288
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.825622
Graph Density : 0.000259234764666533
Modularity : 0.465227
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,164 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, 18 March 2022 at 09:19 UTC.
The requested start date was Friday, 18 March 2022 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 4-day, 2-hour, 55-minute period from Sunday, 13 March 2022 at 09:32 UTC to Thursday, 17 March 2022 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:
[644] covid,19 [526] 詳細は,co [525] co,0iqvdzsuud [519] ibaraki_kouhou,#新型コロナウイルス感染症情報 [424] casos,nuevos [424] casos,activos [421] fallecidos,registrados [419] informe,diario [419] diario,#covid_19 [401] ministeriosalud,informe Top Word Pairs in Tweet in G1:
[54] orban_cedric,_2019_ncov [46] marchandartj,lunanath5 [46] lunanath5,_2019_ncov [43] _2019_ncov,c'est [40] ils,ont [39] _2019_ncov,ça [38] ah,ah [36] digit_paris,marchandartj [34] ils,sont [31] _2019_ncov,ils Top Word Pairs in Tweet in G2:
[146] covid,19 [112] sick,positive [112] positive,#covid19 [112] #covid19,test [89] close,contact [85] cdcgov,parents [75] parents,child [75] child,sick [75] test,sick [75] sick,close Top Word Pairs in Tweet in G3:
[145] _2019_ncov,zyrs10 [109] louan07,_2019_ncov [90] thalassa2008,lusitanopinto [88] el_dic_tator,gerardbondeau [88] gerardbondeau,complotismus [88] complotismus,yvespdb [88] yvespdb,borowskimike [88] borowskimike,thalassa2008 [87] zyrs10,secretwar_ [87] secretwar_,el_dic_tator Top Word Pairs in Tweet in G4:
[424] casos,nuevos [424] casos,activos [421] fallecidos,registrados [419] informe,diario [419] diario,#covid_19 [401] ministeriosalud,informe [297] registrados,44 [167] #covid_19,15 [167] 15,marzo [167] marzo,716 Top Word Pairs in Tweet in G5:
[263] 중앙방역대책본부,의료기관용 [263] 의료기관용,코로나19 [263] 코로나19,대응지침에 [263] 대응지침에,따르면 [263] 따르면,병 [263] 병,의원에서 [263] 의원에서,실시하는 [263] 실시하는,신속항원검사 [263] 신속항원검사,rat [263] rat,의 Top Word Pairs in Tweet in G6:
[120] covid,19 [42] chadox1,ncov [42] ncov,19 [27] 19,vaccine [27] 2019,ncov [22] sars,cov [17] learn,more [16] scholars,portal [14] coronavirus,2019 [12] drml350phd,interesting Top Word Pairs in Tweet in G7:
[4] zeetubes,jonathanhannah [4] doom37455413,jimeeliberty [4] jimeeliberty,volpiranyas [4] volpiranyas,maureenstroud [4] kstateturk,andylumm [4] monstercoyliar,tomsirolimus [4] tomsirolimus,sallyjiggles [4] sallyjiggles,liznyc13 [4] mcfunny,idunsdaughter [4] idunsdaughter,butterednoodie Top Word Pairs in Tweet in G8:
[501] 詳細は,co [500] co,0iqvdzsuud [494] ibaraki_kouhou,#新型コロナウイルス感染症情報 [312] 0iqvdzsuud,21 [312] 21,月 [312] 月,まで [216] 現在の入院者数,290名 [216] 290名,うち重症者数 [202] うち重症者数,8名 [202] 8名,本日の死亡者数 Top Word Pairs in Tweet in G9:
[188] 참조한,외국사이트 [188] 외국사이트,사망률 [188] 사망률,치명률 [188] 치명률,위주로 [188] 위주로,보시면 [188] 보시면,됨https [188] 됨https,co [188] co,yw7qwvlulx [188] yw7qwvlulx,한국은 [188] 한국은,감염자 Top Word Pairs in Tweet in G10:
[173] south,korea's [173] korea's,cases [173] cases,rise [173] rise,over [173] over,620 [173] 620,000 [173] 000,today [172] erictopol,south [9] covid,19 [7] オミクロン株症例の血清学的特徴として,ワクチン未接種者では感染後にオミクロン株に特異的な中和抗体が誘導されるのに対して 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 G6:
Top Replied-To in G7:
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: