The graph represents a network of 5,814 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, 24 June 2022 at 09:17 UTC.
The requested start date was Friday, 24 June 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, 51-minute period from Sunday, 19 June 2022 at 09:33 UTC to Thursday, 23 June 2022 at 12:24 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 : 5814
Unique Edges : 5299
Edges With Duplicates : 12096
Total Edges : 17395
Number of Edge Types : 5
Retweet : 3406
MentionsInRetweet : 5429
Tweet : 736
Replies to : 3469
Mentions : 4355
Self-Loops : 777
Reciprocated Vertex Pair Ratio : 0.0618364251545911
Reciprocated Edge Ratio : 0.116470717503571
Connected Components : 452
Single-Vertex Connected Components : 150
Maximum Vertices in a Connected Component : 3871
Maximum Edges in a Connected Component : 13624
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.19231
Graph Density : 0.000269285992968206
Modularity : 0.405414
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,814 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, 24 June 2022 at 09:17 UTC.
The requested start date was Friday, 24 June 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, 51-minute period from Sunday, 19 June 2022 at 09:33 UTC to Thursday, 23 June 2022 at 12:24 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:
[1050] covid,19 [510] months,older [506] #covid19,vaccine [426] against,covid [425] vaccinated,against [416] everyone,months [415] getting,vaccinated [414] vaccine,update [414] update,everyone [414] older,vaccinated Top Word Pairs in Tweet in G1:
[96] ah,ah [73] _2019_ncov,c'est [64] _2019_ncov,isabell53646257 [56] jossmalaga,_2019_ncov [45] isabell53646257,j'avais [45] j'avais,imaginé [45] imaginé,poutine [45] poutine,manager [45] manager,borné [45] borné,rigoriste Top Word Pairs in Tweet in G2:
[545] covid,19 [492] #covid19,vaccine [485] months,older [405] vaccinated,against [403] everyone,months [402] vaccine,update [402] update,everyone [402] older,vaccinated [402] against,covid [402] 19,getting Top Word Pairs in Tweet in G3:
[45] bellinarg4,cerise_philippe [44] _2019_ncov,bellinarg4 [41] christ24intern1,_2019_ncov [33] dvadroux,_2019_ncov [27] cerise_philippe,alerte [27] alerte,info [27] info,covid [27] covid,commissaire [27] commissaire,européenne [27] européenne,aux Top Word Pairs in Tweet in G4:
[40] _2019_ncov,thetimes [26] solysao,agnesdacosta4 [19] agnesdacosta4,_2019_ncov [13] janeofarc5,_2019_ncov [13] _2019_ncov,ils [13] petermeghalayen,_2019_ncov [12] _2019_ncov,kibitzer0 [12] _2019_ncov,cavaliers [12] cavaliers,l'apocalypse [12] l'apocalypse,dessus Top Word Pairs in Tweet in G5:
[299] informe,diario [299] diario,#covid_19 [299] casos,nuevos [299] casos,activos [299] fallecidos,registrados [299] registrados,58 [296] ministeriosalud,informe [118] #covid_19,20 [118] 20,junio [118] junio,149 Top Word Pairs in Tweet in G6:
[2] lazlowoodbine42,crazycdn2 [2] crazycdn2,bj19791 [2] mpc_xetts,mrdannyteal [2] bedworthlad72,helenjaneadkins [2] helenjaneadkins,enzymeq10 [2] enzymeq10,necrobiomicon [2] necrobiomicon,jiminyc24 [2] jiminyc24,opinionated53 [2] opinionated53,zippidydoodaah1 [2] brydenbradley,tracyjayney64 Top Word Pairs in Tweet in G7:
[110] covid,19 [20] 19,vaccine [16] 2019,ncov [15] 19,vaccines [12] 2022,06 [12] learn,more [8] months,older [8] against,covid [8] help,protect [8] children,teens Top Word Pairs in Tweet in G8:
[142] viernes,actualizaron [142] actualizaron,estrategia [142] estrategia,vigilancia [142] vigilancia,control [142] control,frente [142] frente,covid [142] covid,19 [142] 19,sorpresa [141] enfrmrasaturada,viernes Top Word Pairs in Tweet in G9:
[294] 詳細は,co [289] ibaraki_kouhou,#新型コロナウイルス感染症情報 [199] うち重症者数,0名 [192] co,qnzux8t4b3 [154] 新型コロナウイルス感染症に関する情報はこちら,ht [143] 現在の入院者数,40名 [143] 40名,うち重症者数 [128] qnzux8t4b3,新型コロナウイルス感染症に関する情報はこちら [127] 0名,詳細は [102] 1名,詳細は Top Word Pairs in Tweet in G10:
[121] saintete_pepe,_2019_ncov [62] _2019_ncov,plus [62] plus,belle [62] belle,vidéo [62] vidéo,ces [62] ces,dernières [62] dernières,années [62] années,montre [62] montre,supercherie [62] supercherie,fast 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 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: