The graph represents a network of 5,056 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 11:16 UTC.
The tweets in the network were tweeted over the 3570-day, 8-hour, 23-minute period from Friday, 24 May 2013 at 16:33 UTC to Saturday, 04 March 2023 at 00:56 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 : 5056
Unique Edges : 3253
Edges With Duplicates : 13000
Total Edges : 16253
Number of Edge Types : 9
MentionsInReplyTo : 5448
Replies to : 1584
Retweet : 3450
MentionsInRetweet : 4496
Mentions : 203
Tweet : 670
MentionsInQuote : 134
Quote : 53
MentionsInQuoteReply : 215
Self-Loops : 1114
Reciprocated Vertex Pair Ratio : 0.050997150997151
Reciprocated Edge Ratio : 0.0970452697207915
Connected Components : 550
Single-Vertex Connected Components : 181
Maximum Vertices in a Connected Component : 2839
Maximum Edges in a Connected Component : 10375
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 8.629993
Graph Density : 0.000288675831674367
Modularity : 0.423509
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,056 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 11:16 UTC.
The tweets in the network were tweeted over the 3570-day, 8-hour, 23-minute period from Friday, 24 May 2013 at 16:33 UTC to Saturday, 04 March 2023 at 00:56 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:
[622] covid,19 [397] qnzux8c1z3,検査前で症状がある方 [397] 詳細,co [397] co,qnzux8c1z3 [387] ibaraki_kouhou,#新型コロナウイルス感染症情報 [279] informe,diario [279] casos,activos [279] diario,#covid_19 [279] casos,nuevos [270] ministeriosalud,informe Top Word Pairs in Tweet in G1:
[54] fda,cdc [53] avc,nhs [53] nhs,ont [53] consults,avc [53] cdc,affirment [53] bien,fda [53] affirment,qu'il [53] déploiement,bien [53] depuis,déploiement [53] ont,25 Top Word Pairs in Tweet in G2:
[115] updated,#covid19 [114] #covid19,booster [96] long,covid [95] brain,fog [95] common,symptoms [95] shortness,breath [95] include,fatigue [95] fog,several [95] symptoms,long [95] heartbeat,brain Top Word Pairs in Tweet in G3:
[216] déclare,injections [216] vaccins,plus [216] sont,vaccins [216] l'allemagne,déclare [216] d'arnm,sont [216] injections,d'arnm [216] plus,meurtriers [216] meurtriers,l'histoire [215] julienm__,l'allemagne [25] essai,clinique Top Word Pairs in Tweet in G4:
[124] masks,effective [124] multiple,studies [124] review,citing [124] evidence,masks [124] citing,extensive [124] effective,multiple [124] excellent,review [124] extensive,evidence [124] cdc,excellent [123] drtomfrieden,cdc Top Word Pairs in Tweet in G5:
[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 G6:
[128] covid,19 [119] 2019,ncov [85] cases,increase [85] recombinomics,inc [85] ncov,recombinomics [84] covid,cases [22] sars,cov [21] learn,more [21] coronavirus,2019 [16] york,times Top Word Pairs in Tweet in G7:
[9] updated,july [9] before,vaccines [9] actually,read [9] see,last [9] document,see [9] read,document [9] july,2020 [9] 2020,before [9] last,updated [8] doctor_eric_b,actually Top Word Pairs in Tweet in G8:
[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 G9:
[61] 妊娠中のコロナワクチン接種は安全で有効,コロナワクチン接種は男女ともに不妊に影響しない [61] cdcの妊婦におけるコロナワクチン接種に関するページ,妊娠中のコロナワクチン接種は安全で有効 [60] mph_for_doctors,cdcの妊婦におけるコロナワクチン接種に関するページ [40] 병상,가동률 [34] 本日のコロナワクチン接種会場,本日 [32] 予約なしでも接種できます,詳しくは [30] 동절기,추가접종 [30] 기초,접종 [30] 추가접종,13 [30] 13,기초 Top Word Pairs in Tweet in G10:
[277] diario,#covid_19 [277] informe,diario [277] casos,activos [277] casos,nuevos [268] ministeriosalud,informe [239] fallecidos,registrados [239] registrados,64 [121] #covid_19,marzo [99] activos,fallecidos [56] activos,13 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 G7:
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: