The graph represents a network of 7,591 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 Wednesday, 21 October 2020 at 08:46 UTC.
The requested start date was Wednesday, 21 October 2020 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, 14-hour, 48-minute period from Sunday, 18 October 2020 at 09:12 UTC to Wednesday, 21 October 2020 at 00:00 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 : 7591
Unique Edges : 3337
Edges With Duplicates : 12120
Total Edges : 15457
Number of Edge Types : 5
Tweet : 1122
Retweet : 5451
MentionsInRetweet : 6294
Replies to : 876
Mentions : 1714
Self-Loops : 1147
Reciprocated Vertex Pair Ratio : 0.00596782563570317
Reciprocated Edge Ratio : 0.0118648439515089
Connected Components : 990
Single-Vertex Connected Components : 389
Maximum Vertices in a Connected Component : 3859
Maximum Edges in a Connected Component : 9507
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 5.032282
Graph Density : 0.000134581396144002
Modularity : 0.491318
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,591 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 Wednesday, 21 October 2020 at 08:46 UTC.
The requested start date was Wednesday, 21 October 2020 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, 14-hour, 48-minute period from Sunday, 18 October 2020 at 09:12 UTC to Wednesday, 21 October 2020 at 00:00 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:
[780] covid,19 [517] oh,putain [517] putain,ce [517] ce,scandale [517] scandale,coronavirus [517] coronavirus,derrière [517] derrière,numéro [517] numéro,vert [517] vert,ministère [517] ministère,opérateurs Top Word Pairs in Tweet in G1:
[387] spread,#covid19 [313] protect,yourself [312] prevent,spread [284] cdcgov,#wearamask [275] #covid19,others [274] help,prevent [272] around,others [271] #wearamask,correctly [271] correctly,help [271] others,public Top Word Pairs in Tweet in G2:
[220] claves,protegerse [220] protegerse,#covid19 [219] mascarilla,mantén [178] error,frecuente [178] frecuente,llevar [178] llevar,mascarilla [178] mascarilla,barbilla [178] barbilla,mal [178] mal,ajustada [178] ajustada,nariz Top Word Pairs in Tweet in G3:
[517] oh,putain [517] putain,ce [517] ce,scandale [517] scandale,coronavirus [517] coronavirus,derrière [517] derrière,numéro [517] numéro,vert [517] vert,ministère [517] ministère,opérateurs [517] opérateurs,d'une Top Word Pairs in Tweet in G4:
[160] 2019,ncov [144] covid,19 [129] covid,cases [129] cases,increase [129] ncov,recombinomics [129] recombinomics,inc [17] learn,more [12] sars,cov [11] protect,yourself [11] trick,treating Top Word Pairs in Tweet in G5:
[66] noves,mesures [57] l'increment,casos [56] casos,#covid19 [55] #covid19,catalunya [53] recordeu,davant [53] davant,l'increment [53] catalunya,s'apliquen [53] s'apliquen,noves [49] nova,eina [49] eina,digital Top Word Pairs in Tweet in G6:
[20] cdc,2019 [20] 2019,novel [20] novel,coronavirus [11] 99,98 [10] cdc,latest [10] latest,update [10] update,survival [10] survival,rates [10] rates,infected [10] infected,covid19 Top Word Pairs in Tweet in G7:
[178] help,protect [94] wear,mask [90] #covid19,others [85] protect,those [85] those,around [84] mask,help [83] #wearamask,help [83] around,#covid19 [83] others,wear [83] cdcemergency,#wearamask Top Word Pairs in Tweet in G8:
[136] slow,spread [73] covid,19 [69] spread,#covid19 [68] help,slow [66] spread,covid [61] #covid19,cdc [61] cdc,recommends [61] recommends,people [61] people,wear [61] wear,masks Top Word Pairs in Tweet in G9:
[233] #新型コロナウイルス,感染症情報 [230] ibaraki_kouhou,#新型コロナウイルス [103] 感染症情報,10月19日 [103] 10月19日,県内で新たな新型コロナウイルス感染症患者は確認されませんでした [103] 県内で新たな新型コロナウイルス感染症患者は確認されませんでした,10月13日以来 [103] 10月13日以来,6日ぶりに新規陽性者の発表はありません [103] 6日ぶりに新規陽性者の発表はありません,また [103] また,同感染症患者1名の方が退院等回復しました [102] 同感染症患者1名の方が退院等回復しました,引き続き感染 [68] 引き続き感染防止にご協力をお願いします,#いばらきアマビエちゃん Top Word Pairs in Tweet in G10:
[25] dr,tom [25] tom,cowan [20] cdc,evidenc [20] evidenc,covidd [18] covidd,dr [13] cowan,explores [12] explores,covid [12] covid,virus [12] virus,invented [12] invented,sheer Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G4:
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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: