The graph represents a network of 7,958 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, 21 January 2022 at 10:22 UTC.
The requested start date was Friday, 21 January 2022 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, 20-minute period from Monday, 17 January 2022 at 22:07 UTC to Thursday, 20 January 2022 at 12:27 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 : 7958
Unique Edges : 5016
Edges With Duplicates : 12305
Total Edges : 17321
Number of Edge Types : 5
Retweet : 4499
MentionsInRetweet : 5575
Tweet : 1098
Mentions : 4146
Replies to : 2003
Self-Loops : 1156
Reciprocated Vertex Pair Ratio : 0.0226051924798568
Reciprocated Edge Ratio : 0.0442109870868899
Connected Components : 1075
Single-Vertex Connected Components : 339
Maximum Vertices in a Connected Component : 4359
Maximum Edges in a Connected Component : 12408
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.61013
Graph Density : 0.000144310476552106
Modularity : 0.505805
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,958 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, 21 January 2022 at 10:22 UTC.
The requested start date was Friday, 21 January 2022 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, 20-minute period from Monday, 17 January 2022 at 22:07 UTC to Thursday, 20 January 2022 at 12:27 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:
[667] covid,19 [469] #新型コロナウイルス,感染症情報 [461] うち重症者数,2名 [460] ibaraki_kouhou,#新型コロナウイルス [460] 2名,詳しくはこちらをご覧ください [389] years,free [362] #covid19,vaccine [341] 詳しくはこちらをご覧ください,引き続き [335] 引き続き,感染症対策に [264] 12,years Top Word Pairs in Tweet in G1:
[60] _2019_ncov,tpmp [50] yvespdb,lci [50] lci,gerard_larcher [50] gerard_larcher,elimartichoux [45] ah,ah [40] douchink,defabron [39] defabron,_2019_ncov [35] kifferbernard,_2019_ncov [32] _2019_ncov,yvespdb [30] covid,19 Top Word Pairs in Tweet in G2:
[375] years,free [348] #covid19,vaccine [256] free,#covid19 [256] 12,years [250] ages,12 [199] vaccine,card [198] lose,damage [198] damage,#covid19 [198] card,contact [198] contact,vaccine Top Word Pairs in Tweet in G3:
[464] #新型コロナウイルス,感染症情報 [458] うち重症者数,2名 [457] ibaraki_kouhou,#新型コロナウイルス [457] 2名,詳しくはこちらをご覧ください [341] 詳しくはこちらをご覧ください,引き続き [335] 引き続き,感染症対策に [174] 感染症情報,1月19日 [174] 1月19日,本日の新規陽性者数 [174] 本日の新規陽性者数,393名 [174] 393名,現在の入院者数 Top Word Pairs in Tweet in G4:
[103] covid,19 [23] 2019,ncov [19] learn,more [16] sars,cov [12] cov,2の変異株b [11] 2の変異株b,529系統 [11] 529系統,オミクロン株 [9] 19,vaccine [9] 2022,01 [8] coronavirus,2019 Top Word Pairs in Tweet in G5:
[227] young,children [226] cdc,recommends [226] recommends,clear [226] clear,masks [226] masks,around [226] around,young [226] children,learning [226] learning,read [226] read,tacit [226] tacit,admission Top Word Pairs in Tweet in G6:
[133] chances,someone [133] someone,catching [133] catching,covid [133] covid,international [133] international,mail [133] mail,near [133] near,impossible [133] impossible,unless [132] ayjchan,chances [132] unless,aerosol Top Word Pairs in Tweet in G7:
[178] 詳細データについてはこちらからご覧ください,県ホームページの更新は翌日 [178] 県ホームページの更新は翌日,土日祝日を除く [178] 土日祝日を除く,になります [99] の新型コロナウイルス感染症の情報,新規感染者数 [79] 新型コロナウイルス感染症の情報,新規感染者数 [70] 1月18日,火 [70] 火,新型コロナウイルス感染症の情報 [70] 新規感染者数,1478人 [70] 1478人,詳細データについてはこちらからご覧ください [69] chibaken_kouhou,1月18日 Top Word Pairs in Tweet in G8:
[104] tengo,#covid [104] #covid,puedo [104] puedo,vacunar [104] vacunar,cuánto [104] cuánto,tengo [104] tengo,esperarme [104] esperarme,acabar [104] acabar,aislamiento [104] aislamiento,cuarentena [103] sandralopezleon,tengo Top Word Pairs in Tweet in G9:
[89] sanidadgob,actualización [61] actualización,informe [61] informe,actividad [61] actividad,#vacunación [61] #vacunación,españa [61] españa,cuadro [61] cuadro,mando [34] actualización,datos [34] datos,#covid19 [34] #covid19,infografías Top Word Pairs in Tweet in G10:
[121] の広島県内の感染状況,本日の感染者はコチラ [121] information,multiple [121] multiple,languages [121] languages,covid [121] covid,19 [116] hiroshima_pref,本日 [84] 本日の感染者はコチラ,co [52] co,aynlaejjmp [52] aynlaejjmp,information [47] hiroshima_pref,新型コロナ知事メッセージ 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 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: