The graph represents a network of 5,879 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 Monday, 11 July 2022 at 09:39 UTC.
The requested start date was Monday, 11 July 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 5-day, 20-hour, 6-minute period from Monday, 04 July 2022 at 16:21 UTC to Sunday, 10 July 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 : 5879
Unique Edges : 6291
Edges With Duplicates : 13114
Total Edges : 19405
Number of Edge Types : 5
Mentions : 5776
Replies to : 3414
MentionsInRetweet : 5966
Retweet : 3382
Tweet : 867
Self-Loops : 932
Reciprocated Vertex Pair Ratio : 0.0552469135802469
Reciprocated Edge Ratio : 0.104708979233694
Connected Components : 608
Single-Vertex Connected Components : 197
Maximum Vertices in a Connected Component : 3353
Maximum Edges in a Connected Component : 14871
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.208406
Graph Density : 0.000296816003767946
Modularity : 0.399192
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,879 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 Monday, 11 July 2022 at 09:39 UTC.
The requested start date was Monday, 11 July 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 5-day, 20-hour, 6-minute period from Monday, 04 July 2022 at 16:21 UTC to Sunday, 10 July 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:
[1341] î,î [1184] æ,æ [755] æœ,æ [705] ãƒ,æ [595] æ,ÿæÿ [586] ç,æ [521] covid,19 [422] ãƒ,ム[387] ãƒ,ペã [384] åž,ムTop Word Pairs in Tweet in G1:
[120] ah,ah [101] _2019_ncov,bfmtv [90] insiderdonbass,westernunion [75] _2019_ncov,insiderdonbass [54] merit_franck,_2019_ncov [54] babas42315364,_2019_ncov [49] ils,ont [48] libertgalitfra8,babas42315364 [45] _2019_ncov,pierrejovanovic [40] dã,jã Top Word Pairs in Tweet in G2:
[103] _2019_ncov,abeshinzo [98] _2019_ncov,bfmtv [93] yvespdb,jeanyvescapo [57] gã,nã [55] yvespdb,bfmtv [51] sortir_de_l_ue,_2019_ncov [43] nã,erlandais [42] allanicfabian,alleyesontruth [40] jeanyvescapo,allanicfabian [38] jgalt485,yvespdb Top Word Pairs in Tweet in G3:
[260] #covid19,vaccines [233] months,older [174] vaccines,available [170] covid,19 [131] children,ages [127] ages,months [121] cdcgov,parents [119] parents,#covid19 [119] available,children [119] older,know Top Word Pairs in Tweet in G4:
[76] covid,19 [53] ãƒ,ム[29] ãƒ,æ [27] æ,æ [25] æ,ÿæÿ [24] ãƒ,ペã [24] ì,ë [20] åž,ム[19] ペã,ム[19] ç,ç Top Word Pairs in Tweet in G5:
[3] christo19725794,elijah3570 [3] elijah3570,gmb [3] adverse,reactions [3] 37,people [3] richykirsh,jameslynchgtc [3] jameslynchgtc,krebiozen [3] krebiozen,doom37455413 [3] waltertallen,alex_on_a14 [3] paramaniac9,theonew16516042 [3] theonew16516042,expose_the_dog Top Word Pairs in Tweet in G6:
[126] 臨時,インド [126] インド,ba [126] ba,5よりヤバい変異株ba [126] 5よりヤバい変異株ba,75が登場 [126] 75が登場,インドも日本と同じくba [126] インドも日本と同じくba,2が天下統一し [126] 2が天下統一し,その後ba [126] その後ba,5が増えてきました [126] 5が増えてきました,しかし [126] しかし,ba Top Word Pairs in Tweet in G7:
[859] æ,æ [609] æœ,æ [442] ãƒ,æ [416] ç,æ [263] æ,ÿæÿ [246] ÿæÿ,ç [240] åž,ム[240] ãƒ,ペã [240] ペã,ム[215] æ,ç Top Word Pairs in Tweet in G8:
[86] back,cdc [86] cdc,ontario [86] ontario,others [86] others,went [86] went,day [86] day,rule [86] rule,important [86] important,study [86] study,japan [86] japan,clearly Top Word Pairs in Tweet in G9:
[310] ãƒ,ム[268] æ,ÿæÿ [220] æ,æ [191] ãƒ,æ [111] æœ,æ [98] åž,ム[94] ãƒ,ペã [94] ペã,ム[93] ç,æ [92] ÿæÿ,ç Top Word Pairs in Tweet in G10:
[73] data,evidence [73] evidence,piling [73] piling,making [73] making,very [73] very,sad [73] sad,things [73] things,each [73] each,stand [72] jesslovesmjk,data [72] stand,froâ 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 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: