The graph represents a network of 6,877 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, 17 August 2022 at 09:04 UTC.
The requested start date was Wednesday, 17 August 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 2-day, 13-hour, 11-minute period from Saturday, 13 August 2022 at 23:15 UTC to Tuesday, 16 August 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 : 6877
Unique Edges : 5482
Edges With Duplicates : 17352
Total Edges : 22834
Number of Edge Types : 5
Mentions : 5309
Retweet : 5556
MentionsInRetweet : 9813
Tweet : 551
Replies to : 1605
Self-Loops : 585
Reciprocated Vertex Pair Ratio : 0.0215167548500882
Reciprocated Edge Ratio : 0.0421270718232044
Connected Components : 393
Single-Vertex Connected Components : 147
Maximum Vertices in a Connected Component : 4718
Maximum Edges in a Connected Component : 18752
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.105718
Graph Density : 0.000244976066193616
Modularity : 0.435579
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 6,877 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, 17 August 2022 at 09:04 UTC.
The requested start date was Wednesday, 17 August 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 2-day, 13-hour, 11-minute period from Saturday, 13 August 2022 at 23:15 UTC to Tuesday, 16 August 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:
[2040] quietly,deleting [2003] deleting,misleading [2001] website,following [2001] following,statement [2001] statement,removed [1996] misleading,information [1996] information,website [1989] cdcgov,quietly [1982] repthomasmassie,cdcgov [1981] removed,thei Top Word Pairs in Tweet in G1:
[1943] cdcgov,quietly [1942] quietly,deleting [1942] deleting,misleading [1942] misleading,information [1942] information,website [1942] website,following [1942] following,statement [1942] statement,removed [1941] repthomasmassie,cdcgov [1941] removed,thei Top Word Pairs in Tweet in G2:
[161] francoisboulo,brunobertez [161] brunobertez,anicelajnef [156] anicelajnef,didiermaisto [156] didiermaisto,etienne_chouard [150] cgalacteros,bugaultv [137] sitting_bull_d,francoisboulo [111] etienne_chouard,cgalacteros [104] bugaultv,campagnoltvl [69] rrrrgerard,55bellechasse [69] 55bellechasse,basphilippe Top Word Pairs in Tweet in G3:
[352] cdc,made [352] made,significant [352] significant,update [352] update,website [352] website,removed [352] removed,important [352] important,claim [352] claim,extent [352] extent,product [351] lionadvocacy,cdc Top Word Pairs in Tweet in G4:
[330] cdcが,スパイクタンパクは短期間で消える [330] スパイクタンパクは短期間で消える,の記述を公式ページから削除 [330] の記述を公式ページから削除,長期間残るを認めたか [330] 長期間残るを認めたか,変更されたcdcのページ [330] 変更されたcdcのページ,二つ目の青い部分が短くなっている [329] 80syaku,cdcが [30] cdc,2022年7月21日 [30] 2022年7月21日,mrnaとs蛋白質は [30] mrnaとs蛋白質は,体内では長持ちしません [30] 体内では長持ちしません,私たちの細胞は Top Word Pairs in Tweet in G5:
[303] 뉴스에,나올 [303] 나올,법한 [303] 법한,10대 [303] 10대,그리고 [303] 그리고,더 [303] 더,어린 [303] 어린,유아 [303] 유아,사망자도 [303] 사망자도,어느새 [303] 어느새,42명 Top Word Pairs in Tweet in G6:
[135] still,over [135] over,fact [135] fact,instead [135] instead,recommending [135] recommending,mask [135] mask,requirements [135] requirements,covid [135] covid,spread [135] spread,high [135] high,cdc Top Word Pairs in Tweet in G7:
[48] covid,19 [16] spike,protein [15] mrna,spike [13] protein,last [13] last,long [13] long,body [12] cdc,quietly [10] july,21 [10] 2022,08 [9] statement,mrna Top Word Pairs in Tweet in G8:
[102] archive,link [102] link,july [102] july,21 [102] 21,2022 [101] 2022,today [99] disclosetv,archive [17] removed,altered [17] altered,links [17] links,archived [17] archived,link Top Word Pairs in Tweet in G9:
[52] #covid19vaccines,always [52] always,free [52] free,need [52] need,show [52] show,id [52] id,free [51] covid,19 [51] booster,shot [51] auspublichealth,#covid19vaccines [50] viruses,change Top Word Pairs in Tweet in G10:
[14] unifred6,_2019_ncov [14] _2019_ncov,brismich1 [13] l'application,arrivecan [13] arrivecan,apk [13] apk,gouvernementale [13] gouvernementale,obligatoire [13] obligatoire,voyager [13] voyager,où [13] où,inscrit [13] inscrit,ses 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 G6:
Top Replied-To in G8:
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: