The graph represents a network of 5,852 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 3/16/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 17 March 2023 at 08:52 UTC.
The tweets in the network were tweeted over the 1132-day, 11-hour, 2-minute period from Saturday, 08 February 2020 at 12:58 UTC to Friday, 17 March 2023 at 00:00 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 : 5852
Unique Edges : 2673
Edges With Duplicates : 10218
Total Edges : 12891
Number of Edge Types : 9
Retweet : 3512
MentionsInRetweet : 4057
Tweet : 1185
Replies to : 1169
MentionsInReplyTo : 2321
Quote : 97
MentionsInQuote : 89
Mentions : 390
MentionsInQuoteReply : 71
Self-Loops : 1611
Reciprocated Vertex Pair Ratio : 0.0282046951528458
Reciprocated Edge Ratio : 0.054862023653088
Connected Components : 1091
Single-Vertex Connected Components : 434
Maximum Vertices in a Connected Component : 2493
Maximum Edges in a Connected Component : 6181
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 8.625483
Graph Density : 0.000177803468289125
Modularity : 0.490631
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,852 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 3/16/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 17 March 2023 at 08:52 UTC.
The tweets in the network were tweeted over the 1132-day, 11-hour, 2-minute period from Saturday, 08 February 2020 at 12:58 UTC to Friday, 17 March 2023 at 00:00 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:
[550] coronavirus,pandemic [476] covid,19 [448] genetic,evidence [289] pandemic,started [288] evidence,suggesting [287] started,raccoon [287] suggesting,coronavirus [279] atlantic,reports [276] reports,genetic [274] breaking,atlantic Top Word Pairs in Tweet in G1:
[92] covid,19 [54] 25,years [54] 000,over [54] over,25 [50] sazo,sazo [48] #coronavirus,#covid19 [28] 32,mortgage [24] coronavirus,pandemic [20] received,32 [19] 32,rates Top Word Pairs in Tweet in G2:
[126] lang,anhaltenden [126] wirtschaftlichen,auswirkungen [126] zentralbank,warnt [126] spanische,zentralbank [126] die,spanische [126] auswirkungen,möglichen [126] warnt,wirtschaftlichen [126] möglichen,lang [126] #covid19,die [125] anhaltenden,verschle Top Word Pairs in Tweet in G3:
[268] evidence,suggesting [268] breaking,atlantic [268] suggesting,coronavirus [268] coronavirus,pandemic [268] atlantic,reports [268] reports,genetic [268] pandemic,started [268] genetic,evidence [268] started,raccoon [267] spectatorindex,breaking Top Word Pairs in Tweet in G4:
[177] coronavirus,pandemic [167] three,years [165] years,coronavirus [163] pandemic,researchers [163] researchers,found [162] breaking,three [157] genetic,evidence [155] found,genetic [138] appears,link [137] evidence,appears Top Word Pairs in Tweet in G5:
[130] stated,media [130] care,system [130] system,stated [130] integrated,care [130] head,nhs [130] matt,hancock [130] hancock,whatsapp [130] media,coverage [130] whatsapp,massages [130] nhs,integrated Top Word Pairs in Tweet in G6:
[116] covid,19 [105] please,everyone [105] site,lose [105] lose,easy [105] everyone,ensure [105] easy,questions [105] ensure,survey [105] dashboard,site [105] uk,dashboard [105] survey,uk Top Word Pairs in Tweet in G7:
[22] cdc,ownership [22] ownership,coronavirus [22] patents,show [22] show,cdc [21] coronavirus,both [21] gates,crimes [21] both,china [21] involved,creation [21] crimes,patents [21] china,involved Top Word Pairs in Tweet in G8:
[32] govrondesantis,remember [28] october119862,govrondesantis [27] donors,before [27] gave,vaccine [27] locked,florida [27] vaccine,wealthy [27] before,anyone [27] wealthy,donors [27] florida,down [27] down,gave Top Word Pairs in Tweet in G9:
[116] contre,coronavirus [115] vaccins,contre [115] appel,transparence [115] politico,comme [115] conduit,appel [115] coronavirus,europe [115] contrats,politico [115] europe,conduit [115] transparence,contrats [115] surabondance,vaccins Top Word Pairs in Tweet in G10:
[17] death,#covid19 [17] risk,severe [17] weakened,immune [17] higher,risk [17] severe,illness [17] system,higher [17] hospitalization,death [17] illness,hospitalization [17] immune,system [16] sum,death Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
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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:
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Top Mentioned in G9:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G10: