The graph represents a network of 5,372 Twitter users whose recent tweets contained "NCoV", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/7/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 08 February 2023 at 09:48 UTC.
The tweets in the network were tweeted over the 1120-day, 9-hour, 57-minute period from Tuesday, 14 January 2020 at 15:00 UTC to Wednesday, 08 February 2023 at 00:58 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5372
Unique Edges : 3746
Edges With Duplicates : 11503
Total Edges : 15249
Number of Edge Types : 9
Retweet : 3367
MentionsInRetweet : 4289
Replies to : 1743
MentionsInReplyTo : 4697
Tweet : 633
MentionsInQuoteReply : 120
Quote : 56
Mentions : 188
MentionsInQuote : 156
Self-Loops : 1033
Reciprocated Vertex Pair Ratio : 0.0473862864901561
Reciprocated Edge Ratio : 0.0904848327715841
Connected Components : 507
Single-Vertex Connected Components : 170
Maximum Vertices in a Connected Component : 3504
Maximum Edges in a Connected Component : 10170
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.472829
Graph Density : 0.000267355103169125
Modularity : 0.474709
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,372 Twitter users whose recent tweets contained "NCoV", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/7/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 08 February 2023 at 09:48 UTC.
The tweets in the network were tweeted over the 1120-day, 9-hour, 57-minute period from Tuesday, 14 January 2020 at 15:00 UTC to Wednesday, 08 February 2023 at 00:58 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[1148] covid,19 [699] spike,protein [678] aaronsirisg,cdc [637] vaccination,mrna [637] considers,spike [637] muscle,cells [637] cells,once [637] enter,muscle [637] harmless,vaccination [637] inside,use Top Word Pairs in Tweet in G1:
[675] spike,protein [671] aaronsirisg,cdc [631] once,inside [631] muscle,cells [631] protein,harmless [631] considers,spike [631] cdc,considers [631] cells,once [631] enter,muscle [631] mrna,enter Top Word Pairs in Tweet in G2:
[619] covid,19 [341] decrease,over [340] hospitalizations,decrease [339] predicting,covid [339] coming,month [339] longer,predicting [339] over,coming [339] cdcgov,longer [339] 19,hospitalizations [338] month,remai Top Word Pairs in Tweet in G3:
[27] gaz,tur [27] sang,gaz [27] quie,petrole [27] tremblement,terre [27] tur,quie [27] machine,tremblement [27] sismique,réveille [27] terre,l'arme [27] petrole,sy [27] réveille,bon Top Word Pairs in Tweet in G4:
[9] masks,work [8] 2023,clear [8] doc_stuart,cochrane [8] 2020,update [8] cochrane,study [8] diego,masking [8] work,san [8] study,2020 [8] clear,masks [8] san,diego Top Word Pairs in Tweet in G5:
[111] covid,19 [102] 2019,ncov [84] cases,increase [84] recombinomics,inc [84] ncov,recombinomics [83] covid,cases [18] 19,vaccines [17] learn,more [15] #疫情防控,#covid19 [11] 19,vaccine Top Word Pairs in Tweet in G6:
[356] 詳細,co [356] qnzux8c1z3,検査前で症状がある方 [356] co,qnzux8c1z3 [348] ibaraki_kouhou,#新型コロナウイルス感染症情報 [153] 検査前で症状がある方,検査で陽性と [146] 検査前で症状がある方,検査で陽 [111] 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になります [111] の新型コロナウイルス感染症の情報,新規感染者数 [105] 15名,本日の死亡者 [105] うち重症者,15名 Top Word Pairs in Tweet in G7:
[7] covid,19 [6] doctor_eric_b,draseemmalhotra [5] side,effects [4] adamkinzinger,libfails [4] catturd2,elonmusk [4] gaslighting,disinformation [4] libfails,catturd2 [4] abounds,republican [4] _2019_ncov,jeanmessiha [4] _2019_ncov,elonmusk Top Word Pairs in Tweet in G8:
[56] covid,19 [48] 병상,가동률 [47] 19,vaccines [45] vaccines,work [44] urgent,covid [44] short,summary [44] summary,myocarditis [44] work,short [43] healthbyjames,urgent [40] 보유병상,565개 Top Word Pairs in Tweet in G9:
[6] stupidmaggats,asjah8 [6] ziggystardogs,cerulea78083156 [6] amosburton16,toddyrhee [6] wokeninjaet,laurasimbell1 [6] laurasimbell1,_capitaloffense [6] cerulea78083156,bassistold [6] trumpster20,rjocore1 [6] vincegottalotta,_kel_varnsen_ [6] toddyrhee,rosegar17673310 [6] mjb24681,jkoff609 Top Word Pairs in Tweet in G10:
[239] diario,#covid_19 [239] registrados,63 [239] informe,diario [239] casos,activos [239] fallecidos,registrados [239] casos,nuevos [235] #covid_19,febrero [230] ministeriosalud,informe [110] activos,fallecidos [67] 428,casos 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 G8:
Top Replied-To in G9:
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: