The graph represents a network of 6,131 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 Thursday, 17 March 2022 at 11:01 UTC.
The requested start date was Thursday, 17 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, 7-hour, 58-minute period from Saturday, 12 March 2022 at 04:27 UTC to Wednesday, 16 March 2022 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 : 6131
Unique Edges : 4685
Edges With Duplicates : 12694
Total Edges : 17379
Number of Edge Types : 5
Retweet : 4059
MentionsInRetweet : 5879
Replies to : 2480
Mentions : 3860
Tweet : 1101
Self-Loops : 1182
Reciprocated Vertex Pair Ratio : 0.0413997042878265
Reciprocated Edge Ratio : 0.0795078088026503
Connected Components : 713
Single-Vertex Connected Components : 244
Maximum Vertices in a Connected Component : 2847
Maximum Edges in a Connected Component : 11083
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.517028
Graph Density : 0.000224888733026581
Modularity : 0.425049
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,131 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 Thursday, 17 March 2022 at 11:01 UTC.
The requested start date was Thursday, 17 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, 7-hour, 58-minute period from Saturday, 12 March 2022 at 04:27 UTC to Wednesday, 16 March 2022 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:
[733] covid,19 [551] 詳細は,co [550] co,0iqvdzsuud [542] ibaraki_kouhou,#新型コロナウイルス感染症情報 [439] 0iqvdzsuud,21 [439] 21,月 [439] 月,まで [308] casos,nuevos [308] casos,activos [305] fallecidos,registrados Top Word Pairs in Tweet in G1:
[54] orban_cedric,_2019_ncov [46] ah,ah [46] marchandartj,lunanath5 [46] lunanath5,_2019_ncov [45] ils,ont [45] _2019_ncov,c'est [40] ils,sont [36] digit_paris,marchandartj [35] vitoud69,_2019_ncov [32] nicolas20048332,_2019_ncov Top Word Pairs in Tweet in G2:
[193] covid,19 [106] sick,positive [106] positive,#covid19 [106] #covid19,test [94] close,contact [90] cdcgov,parents [88] know,child [77] severe,illness [77] illness,hospitalization [77] hospitalization,death Top Word Pairs in Tweet in G3:
[77] yvespdb,poulin2012 [63] wow,regardez [63] regardez,cela [63] cela,toutes [63] toutes,ces [63] ces,entreprises [63] entreprises,pharmaceutiques [63] pharmaceutiques,sont [63] sont,situées [63] situées,kiev Top Word Pairs in Tweet in G4:
[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 G5:
[130] covid,19 [40] chadox1,ncov [40] ncov,19 [29] 19,vaccine [21] 2019,ncov [19] sars,cov [16] scholars,portal [13] learn,more [11] 19,vaccination [11] coronavirus,2019 Top Word Pairs in Tweet in G6:
[308] casos,nuevos [308] casos,activos [305] fallecidos,registrados [303] informe,diario [303] diario,#covid_19 [284] ministeriosalud,informe [179] registrados,44 [167] #covid_19,15 [167] 15,marzo [167] marzo,716 Top Word Pairs in Tweet in G7:
[526] 詳細は,co [525] co,0iqvdzsuud [517] ibaraki_kouhou,#新型コロナウイルス感染症情報 [417] 0iqvdzsuud,21 [417] 21,月 [417] 月,まで [216] 現在の入院者数,290名 [216] 290名,うち重症者数 [185] うち重症者数,8名 [185] 8名,本日の死亡者数 Top Word Pairs in Tweet in G8:
[3] risk,people [2] zosha123,quigley_jesse [2] quigley_jesse,mcfunny [2] mcfunny,wendyorent [2] wendyorent,agoldsmithesq [2] agoldsmithesq,factode305 [2] factode305,zaynjaffer [2] zaynjaffer,top_muppetries [2] top_muppetries,policing_uk [2] policing_uk,greenboat Top Word Pairs in Tweet in G9:
[81] refugees,migrants [78] migrants,face [78] face,individual [78] individual,social [78] social,physical [78] physical,barriers [78] barriers,receive [78] receive,#covid19 [78] #covid19,vaccine [78] vaccine,guide Top Word Pairs in Tweet in G10:
[105] things,shock [105] shock,places [105] places,people [105] people,increase [105] increase,risk [105] risk,severe [105] severe,covid [105] covid,outcomes [105] outcomes,sedentary [105] sedentary,lifestyle 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 G5:
Top Replied-To in G8:
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: