The graph represents a network of 5,300 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 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 11:32 UTC.
The tweets in the network were tweeted over the 1121-day, 9-hour, 50-minute period from Tuesday, 14 January 2020 at 15:00 UTC to Thursday, 09 February 2023 at 00:51 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 : 5300
Unique Edges : 3500
Edges With Duplicates : 11430
Total Edges : 14930
Number of Edge Types : 9
MentionsInReplyTo : 4461
Replies to : 1707
Retweet : 3431
MentionsInRetweet : 4276
Tweet : 578
Mentions : 182
Quote : 55
MentionsInQuote : 129
MentionsInQuoteReply : 111
Self-Loops : 957
Reciprocated Vertex Pair Ratio : 0.0470079508997071
Reciprocated Edge Ratio : 0.089794830802025
Connected Components : 491
Single-Vertex Connected Components : 164
Maximum Vertices in a Connected Component : 3486
Maximum Edges in a Connected Component : 10058
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.289527
Graph Density : 0.000267262958123106
Modularity : 0.470963
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,300 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 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 11:32 UTC.
The tweets in the network were tweeted over the 1121-day, 9-hour, 50-minute period from Tuesday, 14 January 2020 at 15:00 UTC to Thursday, 09 February 2023 at 00:51 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:
[1242] covid,19 [768] spike,protein [749] aaronsirisg,cdc [706] vaccination,mrna [706] considers,spike [706] muscle,cells [706] cells,once [706] enter,muscle [706] harmless,vaccination [706] inside,use Top Word Pairs in Tweet in G1:
[745] spike,protein [740] aaronsirisg,cdc [696] mrna,enter [696] vaccination,mrna [696] cdc,considers [696] considers,spike [696] cells,once [696] once,inside [696] protein,harmless [696] enter,muscle Top Word Pairs in Tweet in G2:
[628] covid,19 [344] hospitalizations,decrease [344] decrease,over [344] 19,hospitalizations [343] predicting,covid [343] coming,month [343] longer,predicting [343] over,coming [343] cdcgov,longer [342] 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:
[106] covid,19 [73] 2019,ncov [57] cases,increase [57] covid,cases [57] recombinomics,inc [57] ncov,recombinomics [20] 19,vaccines [17] learn,more [15] #疫情防控,#covid19 [14] 19,vaccine Top Word Pairs in Tweet in G5:
[57] covid,19 [49] 19,vaccines [47] vaccines,work [46] 병상,가동률 [45] work,short [45] short,summary [45] summary,myocarditis [45] urgent,covid [44] healthbyjames,urgent [34] 보유병상,565개 Top Word Pairs in Tweet in G6:
[59] triangle24,米cdcも感染者のマスク着用は変更してないと思います [58] sixailes,triangle24 [38] covid,19 [38] county,covid [38] find,vaccination [38] diego,county [38] vaccination,site [38] hospitalizations,find [38] san,diego [38] 19,hospitalizations Top Word Pairs in Tweet in G7:
[324] 詳細,co [324] qnzux8c1z3,検査前で症状がある方 [324] co,qnzux8c1z3 [317] ibaraki_kouhou,#新型コロナウイルス感染症情報 [151] 検査前で症状がある方,検査で陽性と [117] 検査前で症状がある方,検査で陽 [106] の新型コロナウイルス感染症の情報,新規感染者数 [103] 15名,本日の死亡者 [103] うち重症者,15名 [101] 本日の死亡者,3名 Top Word Pairs in Tweet in G8:
[8] danohta,freedqben [8] laurasimbell1,_capitaloffense [8] krispi_largo,ziggywilde [8] rjocore1,digimalice [8] skeeduu,krispi_largo [8] jdd2169,wokeninjaet [8] mjb24681,jkoff609 [8] _capitaloffense,johnmor49451893 [8] stupidmaggats,asjah8 [8] vickie627,jeffreysharper1 Top Word Pairs in Tweet in G9:
[9] masks,work [8] study,2020 [8] jennyerikson,doc_stuart [8] 2023,clear [8] cochrane,study [8] doc_stuart,cochrane [8] update,2023 [8] clear,masks [8] 2020,update [8] work,san Top Word Pairs in Tweet in G10:
[230] registrados,63 [230] casos,activos [230] fallecidos,registrados [230] diario,#covid_19 [230] informe,diario [230] casos,nuevos [228] #covid_19,febrero [221] ministeriosalud,informe [101] 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 G5:
Top Replied-To in G6:
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: