The graph represents a network of 7,499 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, 15 January 2021 at 10:45 UTC.
The requested start date was Friday, 15 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, 7-hour, 57-minute period from Tuesday, 12 January 2021 at 05:58 UTC to Thursday, 14 January 2021 at 13:55 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 : 7499
Unique Edges : 2835
Edges With Duplicates : 12936
Total Edges : 15771
Number of Edge Types : 5
Retweet : 5797
MentionsInRetweet : 6667
Replies to : 637
Tweet : 1163
Mentions : 1507
Self-Loops : 1179
Reciprocated Vertex Pair Ratio : 0.00608683890166374
Reciprocated Edge Ratio : 0.0121000268889486
Connected Components : 1003
Single-Vertex Connected Components : 418
Maximum Vertices in a Connected Component : 4440
Maximum Edges in a Connected Component : 11285
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.726484
Graph Density : 0.000132284020015686
Modularity : 0.473529
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 7,499 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, 15 January 2021 at 10:45 UTC.
The requested start date was Friday, 15 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, 7-hour, 57-minute period from Tuesday, 12 January 2021 at 05:58 UTC to Thursday, 14 January 2021 at 13:55 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:
[693] 対象,すべての飲食店 [690] 医療従事者向け,新型コロナウイルスワクチンのまとめ [690] 新型コロナウイルスワクチンのまとめ,時間が無い人は [690] 時間が無い人は,要点だけで読めばよいです [690] 要点だけで読めばよいです,書いているのは [690] 書いているのは,感染症の世界で信頼できる医師です [690] 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 [690] すべての飲食店,期間 [689] invesdoctor,医療従事者向け [688] ibaraki_kouhou,営業時間短縮要請の対象店舗を拡充します Top Word Pairs in Tweet in G1:
[173] #covid19,vaccine [167] repairperson,visitor [167] visitor,home [167] home,combine [167] combine,fresh [167] fresh,air [167] air,measures [167] measures,help [167] help,keep [167] keep,getting Top Word Pairs in Tweet in G2:
[689] 対象,すべての飲食店 [686] 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 [686] すべての飲食店,期間 [684] ibaraki_kouhou,営業時間短縮要請の対象店舗を拡充します [532] 1月13日,水 [528] 感染拡大市町村,常陸太田市 [528] 常陸太田市,高萩市 [528] 高萩市,筑西市 [528] 筑西市,つくばみらい市 [528] つくばみらい市,大洗町 Top Word Pairs in Tweet in G3:
[682] 医療従事者向け,新型コロナウイルスワクチンのまとめ [682] 新型コロナウイルスワクチンのまとめ,時間が無い人は [682] 時間が無い人は,要点だけで読めばよいです [682] 要点だけで読めばよいです,書いているのは [682] 書いているのは,感染症の世界で信頼できる医師です [681] invesdoctor,医療従事者向け [13] アメリカ,cdc [13] cdc,covid [13] covid,19ワクチンのページ [13] 19ワクチンのページ,どんどん更新されている Top Word Pairs in Tweet in G4:
[443] investigations,conducted [443] conducted,chinese [442] preliminary,investigations [438] chinese,authorities [438] authorities,found [438] found,clear [438] clear,evidence [438] evidence,human [438] human,human [438] human,transmission Top Word Pairs in Tweet in G5:
[144] covid,19 [33] 2019,ncov [32] sars,cov [24] learn,more [20] 19,vaccine [15] ncov,19 [13] 19,vaccines [12] wear,mask [11] chadox1,ncov [10] united,states Top Word Pairs in Tweet in G6:
[94] nextstrain,clade [91] focal,n501 [91] n501,build [91] build,updated [89] happy,tuesday [89] tuesday,latest [89] latest,focal [89] updated,sequences [89] sequences,11 [89] 11,jan Top Word Pairs in Tweet in G7:
[229] información,consulten [229] consulten,página [229] página,nuestros [229] nuestros,centros [229] centros,control [229] control,prevención [229] prevención,enfermedades [228] usambmex,información [4] covid,19 [3] three,actions Top Word Pairs in Tweet in G8:
[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 [95] such,testing [93] testing,used Top Word Pairs in Tweet in G9:
[52] ブラジル,マナウスで急増していることが確認された新たな変異の系統がnextstrain [52] マナウスで急増していることが確認された新たな変異の系統がnextstrain,cladeで20j [52] cladeで20j,501y [52] 501y,v3と命名され可視化される [51] kenmomd,ブラジル [35] ついにすり抜けてきましたか,ここまで抑えてこれたのに検疫がザルでは困る [34] kenmomd,ついにすり抜けてきましたか [22] 501y,484k [21] #sarscov2,genomes [21] genomes,spike Top Word Pairs in Tweet in G10:
[98] help,slow [98] slow,spread [98] spread,#covid19 [96] cdcemergency,#wearamask [59] make,sure [56] nose,mouth [55] #wearamask,more [55] more,layers [55] layers,fabric [55] fabric,over Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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: