The graph represents a network of 5,937 Twitter users whose recent tweets contained "Coronavirus", 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 09:59 UTC.
The tweets in the network were tweeted over the 1099-day, 11-hour, 13-minute period from Friday, 31 January 2020 at 13:46 UTC to Saturday, 04 February 2023 at 01:00 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 : 5937
Unique Edges : 2658
Edges With Duplicates : 10201
Total Edges : 12859
Number of Edge Types : 9
Retweet : 3471
MentionsInRetweet : 4125
Replies to : 1233
MentionsInReplyTo : 2361
Tweet : 1175
Mentions : 318
MentionsInQuote : 62
Quote : 81
MentionsInQuoteReply : 33
Self-Loops : 1536
Reciprocated Vertex Pair Ratio : 0.0225143796220214
Reciprocated Edge Ratio : 0.0440372870459659
Connected Components : 1074
Single-Vertex Connected Components : 455
Maximum Vertices in a Connected Component : 2031
Maximum Edges in a Connected Component : 5066
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 6.942777
Graph Density : 0.00017655054623411
Modularity : 0.505366
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,937 Twitter users whose recent tweets contained "Coronavirus", 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 09:59 UTC.
The tweets in the network were tweeted over the 1099-day, 11-hour, 13-minute period from Friday, 31 January 2020 at 13:46 UTC to Saturday, 04 February 2023 at 01:00 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 : Coronavirus
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:
[779] covid,19 [409] covid,mrna [401] mrna,vaccine [397] suspension,covid [392] number,health [370] 19,vaccines [361] rest,eu [361] earlier,rest [360] brexit,didn [360] vaccines,earlier Top Word Pairs in Tweet in G1:
[366] covid,19 [361] 19,vaccines [360] brexit,didn [360] first,wrote [360] authorise,covid [360] ability,authorise [360] vaccines,earlier [360] rest,eu [360] uk,ability [360] eu,first Top Word Pairs in Tweet in G2:
[113] covid,19 [33] #coronavirus,#covid19 [18] #covid19,#coronavirus [18] coronavirus,pandemic [16] coronavirus,vaccines [16] 02,03 [15] nuevos,casos [15] #covid19,#covid_19 [13] 19,data [13] változott,#coronavirus Top Word Pairs in Tweet in G3:
[321] mrna,vaccine [320] covid,mrna [320] suspension,covid [319] number,health [319] vaccine,number [319] india,professor [319] immediate,suspension [319] calls,immediate [319] times,india [319] breaking,times Top Word Pairs in Tweet in G4:
[47] coronavirus,strains [46] political,power [46] used,#bioterrorism [46] nih,approved [46] transmission,pandemic [46] bat,human [46] #bioterrorism,overthrow [46] #buildbackbetter,#democrats [46] power,economy [46] strains,bat Top Word Pairs in Tweet in G5:
[160] 11,vezes [160] combate,covid [160] tratamento,casos [160] essencial,tratamento [160] oficial,cuba [160] cloroquina,11 [160] vezes,remédio [160] protocolo,oficial [160] remédio,essencial [160] covid,menciona Top Word Pairs in Tweet in G6:
[184] difference',regarding [184] mask,wearing [184] makes,'little [184] flu,transmission [184] study,finds [184] 'little,difference' [184] finds,mask [184] regarding,flu [184] wearing,makes [183] mynbc15,study Top Word Pairs in Tweet in G7:
[272] estadísticas,generales [259] estas,estadísticas [256] coronavirus,venezuela [255] generales,total [249] total,contagios [233] venezuela,estas [223] días,coronavirus [199] contagios,551 [164] 054,días [164] 551,612 Top Word Pairs in Tweet in G8:
[57] covid,mrna [57] mrna,vaccine [57] suspension,covid [57] healthbyjames,breaking [57] number,health [55] health,professionals [55] professionals,urging [55] vaccine,increasing [55] breaking,number [55] urging,suspension Top Word Pairs in Tweet in G9:
[81] pendant,crise [81] dire,mais [81] crise,ont [81] pourtant,cest [81] tué,cest [81] cest,vrai [81] tue,décisions [81] mais,pourtant [81] ont,tué [81] mal,dire Top Word Pairs in Tweet in G10:
[25] nih,niaid [25] miss,public [25] gov,specifically [25] coronavirus,induced [25] public,fact [25] niaid,funded [25] funded,coronavirus [25] fact,gov [25] specifically,nih [24] tlavagabond,miss Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: