The graph represents a network of 7,589 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, 14 January 2021 at 11:59 UTC.
The requested start date was Thursday, 14 January 2021 at 01:01 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, 54-minute period from Sunday, 10 January 2021 at 23:00 UTC to Wednesday, 13 January 2021 at 13:54 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 : 7589
Unique Edges : 3358
Edges With Duplicates : 12963
Total Edges : 16321
Number of Edge Types : 5
Retweet : 5579
MentionsInRetweet : 6542
Replies to : 781
Mentions : 2126
Tweet : 1293
Self-Loops : 1311
Reciprocated Vertex Pair Ratio : 0.00678913738019169
Reciprocated Edge Ratio : 0.0134867116223721
Connected Components : 1109
Single-Vertex Connected Components : 447
Maximum Vertices in a Connected Component : 4137
Maximum Edges in a Connected Component : 11261
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.976139
Graph Density : 0.000131335528290433
Modularity : 0.471263
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 7,589 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, 14 January 2021 at 11:59 UTC.
The requested start date was Thursday, 14 January 2021 at 01:01 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, 54-minute period from Sunday, 10 January 2021 at 23:00 UTC to Wednesday, 13 January 2021 at 13:54 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:
[691] covid,19 [680] 対象,すべての飲食店 [668] 営業時間短縮要請の対象店舗を拡充します,感染拡大市町村 [668] すべての飲食店,期間 [666] ibaraki_kouhou,営業時間短縮要請の対象店舗を拡充します [528] 期間,1月13日 [528] 1月13日,水 [525] 感染拡大市町村,常陸太田市 [525] 常陸太田市,高萩市 [525] 高萩市,筑西市 Top Word Pairs in Tweet in G1:
[679] 対象,すべての飲食店 [667] 営業時間短縮要請の対象店舗を拡充します,感染拡大市町村 [667] すべての飲食店,期間 [665] ibaraki_kouhou,営業時間短縮要請の対象店舗を拡充します [524] 感染拡大市町村,常陸太田市 [524] 常陸太田市,高萩市 [524] 高萩市,筑西市 [524] 筑西市,つくばみらい市 [524] つくばみらい市,大洗町 [524] 大洗町,東海村 Top Word Pairs in Tweet in G2:
[224] make,sure [166] #covid19,vaccine [158] enroll,safe [157] cdc,feel [157] health,check [156] vaccine,enroll [156] safe,tell [156] tell,cdc [156] feel,personalized [156] personalized,health Top Word Pairs in Tweet in G3:
[145] covid,19 [35] 2019,ncov [32] sars,cov [30] learn,more [23] 19,vaccine [16] wear,mask [16] ncov,19 [16] 19,vaccines [13] getting,covid [12] chadox1,ncov Top Word Pairs in Tweet in G4:
[89] focal,n501 [89] n501,build [89] build,updated [83] happy,tuesday [83] tuesday,latest [83] latest,focal [83] updated,sequences [83] sequences,11 [83] 11,jan [83] jan,101 Top Word Pairs in Tweet in G5:
[284] ブラジルからの帰国者から検出された新型コロナウイルスの新規変異株について,1月10日 [284] 1月10日,国立感染症研究所 [284] 国立感染症研究所,要約の一番下にある通り [284] 要約の一番下にある通り,変異株だからって個人のやることは何ら変わりません [148] earl_med_tw,ブラジルからの帰国者から検出された新型コロナウイルスの新規変異株について [135] earl_covid19_tw,ブラジルからの帰国者から検出された新型コロナウイルスの新規変異株について [9] もう滅茶苦茶,国立感染症研究所には [9] 国立感染症研究所には,下記リンク先に大量の確証情報があるというのに [8] papa_pahoo,もう滅茶苦茶 [2] これをできるだけ多くの国民が正確に読め,てのは本当にしんどい試練だなあ Top Word Pairs in Tweet in G6:
[285] barneygrahammd,one [271] one,year [271] year,ago [271] ago,today [271] today,chinese [271] chinese,scientists [271] scientists,posted [271] posted,first [271] first,sequences [271] sequences,novel Top Word Pairs in Tweet in G7:
[113] frente,#covid19 [90] informe,actividad [90] vacunación,frente [74] #covid19,españa [64] sanidadgob,actualización [61] retraso,cancelación [61] cancelación,reprogramación [58] reprogramación,vuelos [57] relación,retraso [57] vuelos,causa Top Word Pairs in Tweet in G8:
[226] información,consulten [226] consulten,página [226] página,nuestros [226] nuestros,centros [226] centros,control [226] control,prevención [226] prevención,enfermedades [225] usambmex,información [4] covid,19 [3] three,actions Top Word Pairs in Tweet in G9:
[100] antibodies,part [100] part,body's [100] body's,immune [100] immune,response [100] response,exposure [100] exposure,virus [100] virus,itself [99] itself,such [96] such,testing [94] testing,used Top Word Pairs in Tweet in G10:
[55] 501y,484k [54] #sarscov2,genomes [54] genomes,spike [54] spike,501y [54] 484k,mutations [54] mutations,reported [54] reported,yesterday [54] yesterday,share [54] share,base [54] base,deletion 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 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: