The graph represents a network of 5,029 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 3/2/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 03 March 2023 at 10:13 UTC.
The tweets in the network were tweeted over the 3569-day, 8-hour, 13-minute period from Friday, 24 May 2013 at 16:33 UTC to Friday, 03 March 2023 at 00:47 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 : 5029
Unique Edges : 3523
Edges With Duplicates : 14280
Total Edges : 17803
Number of Edge Types : 9
MentionsInReplyTo : 6917
Replies to : 1901
Retweet : 3201
MentionsInRetweet : 4401
MentionsInQuote : 152
Mentions : 205
Tweet : 688
Quote : 63
MentionsInQuoteReply : 275
Self-Loops : 1174
Reciprocated Vertex Pair Ratio : 0.0571630204657728
Reciprocated Edge Ratio : 0.108144192256342
Connected Components : 576
Single-Vertex Connected Components : 188
Maximum Vertices in a Connected Component : 2630
Maximum Edges in a Connected Component : 11225
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.659608
Graph Density : 0.000296213544575907
Modularity : 0.392133
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,029 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 3/2/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 03 March 2023 at 10:13 UTC.
The tweets in the network were tweeted over the 3569-day, 8-hour, 13-minute period from Friday, 24 May 2013 at 16:33 UTC to Friday, 03 March 2023 at 00:47 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:
[587] covid,19 [392] qnzux8c1z3,検査前で症状がある方 [392] 詳細,co [392] co,qnzux8c1z3 [383] ibaraki_kouhou,#新型コロナウイルス感染症情報 [273] informe,diario [273] casos,activos [273] diario,#covid_19 [273] casos,nuevos [264] ministeriosalud,informe Top Word Pairs in Tweet in G1:
[183] nicolasberrod,epiphare [183] epiphare,v_joron [164] cerdjman,nicolasberrod [153] patsurfing,cerdjman [144] takeheight,patsurfing [74] _2019_ncov,takeheight [55] v_joron,bernardjomier [50] lethiecv,_2019_ncov [43] _2019_ncov,verity_france [40] grandcapelet,grazianilaetiza Top Word Pairs in Tweet in G2:
[108] updated,#covid19 [107] #covid19,booster [95] long,covid [91] brain,fog [91] common,symptoms [91] weeks,passed [91] shortness,breath [91] include,fatigue [91] fog,several [91] symptoms,long Top Word Pairs in Tweet in G3:
[128] citing,extensive [128] cdc,excellent [128] multiple,studies [128] excellent,review [128] extensive,evidence [128] review,citing [128] masks,effective [128] effective,multiple [128] evidence,masks [127] drtomfrieden,cdc Top Word Pairs in Tweet in G4:
[199] warum,trotz [199] angesprochenen,trick [199] immer,mehr [199] trotz,sagenhafter [199] benutzt,rki_de [199] impfeffizienz,immer [199] rki_de,erklärt [199] sagenhafter,impfeffizienz [199] tweet,angesprochenen [199] trick,benutzt Top Word Pairs in Tweet in G5:
[53] fda,cdc [52] consults,avc [52] depuis,déploiement [52] ont,25 [52] 25,depuis [52] nhs,ont [52] cdc,affirment [52] affirment,qu'il [52] bien,fda [52] déploiement,bien Top Word Pairs in Tweet in G6:
[128] 2019,ncov [123] covid,19 [93] recombinomics,inc [93] cases,increase [93] ncov,recombinomics [91] covid,cases [24] sars,cov [24] learn,more [20] coronavirus,2019 [16] ncov,19 Top Word Pairs in Tweet in G7:
[145] #hepatiteautoimune,outra [145] vacina,provocar [145] oms,alerta [145] pesquisa,indica [145] próprio,site [145] outra,pesquisa [145] indica,hepatite [145] site,oms [145] risco,vacina [145] provocar,#hepatiteautoimune Top Word Pairs in Tweet in G8:
[11] 2019,ncov [8] indicate,presence [8] agent,clinical [8] detection,viral [8] viral,rna [8] infectious,virus [8] virus,2019 [8] clinical,symptoms [8] causative,agent [8] presence,infectious Top Word Pairs in Tweet in G9:
[31] team,contributed [31] first,definition [31] glad,part [31] definition,pediatric [31] develop,first [31] assisted,develop [31] contributed,assisted [31] part,team [30] human,human [30] human,transmission Top Word Pairs in Tweet in G10:
[273] diario,#covid_19 [273] informe,diario [273] casos,activos [273] casos,nuevos [264] ministeriosalud,informe [234] fallecidos,registrados [234] registrados,64 [107] activos,fallecidos [83] #covid_19,marzo [42] 840,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 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: