The graph represents a network of 5,235 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 13:50 UTC.
The tweets in the network were tweeted over the 3573-day, 8-hour, 19-minute period from Friday, 24 May 2013 at 16:33 UTC to Tuesday, 07 March 2023 at 00:53 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 : 5235
Unique Edges : 4181
Edges With Duplicates : 12901
Total Edges : 17082
Number of Edge Types : 9
Retweet : 3314
MentionsInRetweet : 4779
MentionsInReplyTo : 5611
Replies to : 1786
MentionsInQuoteReply : 353
Quote : 54
Tweet : 711
Mentions : 218
MentionsInQuote : 256
Self-Loops : 1177
Reciprocated Vertex Pair Ratio : 0.0509578544061303
Reciprocated Edge Ratio : 0.0969741159314619
Connected Components : 600
Single-Vertex Connected Components : 191
Maximum Vertices in a Connected Component : 2787
Maximum Edges in a Connected Component : 10153
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.676453
Graph Density : 0.000300328576762254
Modularity : 0.447758
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,235 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 13:50 UTC.
The tweets in the network were tweeted over the 3573-day, 8-hour, 19-minute period from Friday, 24 May 2013 at 16:33 UTC to Tuesday, 07 March 2023 at 00:53 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:
[639] covid,19 [449] qnzux8c1z3,検査前で症状がある方 [449] 詳細,co [449] co,qnzux8c1z3 [439] ibaraki_kouhou,#新型コロナウイルス感染症情報 [347] 検査前で症状がある方,検査で陽性と判 [337] long,covid [320] informe,diario [320] casos,activos [320] diario,#covid_19 Top Word Pairs in Tweet in G1:
[56] fda,cdc [55] avc,nhs [55] nhs,ont [55] consults,avc [55] cdc,affirment [55] bien,fda [55] affirment,qu'il [55] déploiement,bien [55] depuis,déploiement [55] ont,25 Top Word Pairs in Tweet in G2:
[171] long,covid [104] covid,conditions [95] brain,fog [95] common,symptoms [95] shortness,breath [95] include,fatigue [95] fog,several [95] symptoms,long [95] heartbeat,brain [95] fatigue,shortness Top Word Pairs in Tweet in G3:
[257] plus,meurtriers [257] injections,d'arnm [257] d'arnm,sont [257] déclare,injections [257] sont,vaccins [257] l'allemagne,déclare [257] vaccins,plus [257] meurtriers,l'histoire [256] julienm__,l'allemagne [35] tout,monde Top Word Pairs in Tweet in G4:
[141] long,covid [83] covid,19 [80] 19,vaccines [77] vaccines,cause [77] breakdown,known [77] cause,death [77] less,think [77] think,breakdown [77] yes,less [77] death,yes 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:
[120] covid,19 [106] 2019,ncov [74] cases,increase [74] recombinomics,inc [74] ncov,recombinomics [73] covid,cases [21] sars,cov [20] coronavirus,2019 [19] learn,more [15] 19,vaccines Top Word Pairs in Tweet in G7:
[9] updated,july [9] before,vaccines [9] july,2020 [9] read,document [9] 2020,before [9] see,last [9] last,updated [9] actually,read [9] document,see [8] doctor_eric_b,actually Top Word Pairs in Tweet in G8:
[320] casos,activos [320] diario,#covid_19 [320] informe,diario [320] casos,nuevos [308] ministeriosalud,informe [282] registrados,64 [282] fallecidos,registrados [212] #covid_19,marzo [137] activos,fallecidos [46] nuevos,392 Top Word Pairs in Tweet in G9:
[114] 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 [114] 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 [113] 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 [36] 本日のコロナワクチン接種会場,本日 [34] 予約なしでも接種できます,詳しくは [26] kenko_de_nerima,本日のコロナワクチン接種会場 [25] 大泉学園駅南口,徒歩3分 [25] 6か月,4歳 [25] 乳幼児,6か月 [25] 練馬区の乳幼児の集団接種,予約が取りやすくなっています Top Word Pairs in Tweet in G10:
[449] 詳細,co [449] qnzux8c1z3,検査前で症状がある方 [449] co,qnzux8c1z3 [439] ibaraki_kouhou,#新型コロナウイルス感染症情報 [347] 検査前で症状がある方,検査で陽性と判 [305] 2名,本日の死亡者 [305] うち重症者,2名 [199] 本日の死亡者,0名 [199] 0名,詳細 [193] 本日の死亡者,1名 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 G8:
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: