The graph represents a network of 5,844 Twitter users whose recent tweets contained "COVID-19", 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 2/14/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 15 February 2023 at 08:04 UTC.
The tweets in the network were tweeted over the 1066-day, 3-hour, 9-minute period from Sunday, 15 March 2020 at 21:50 UTC to Wednesday, 15 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 : 5844
Unique Edges : 2440
Edges With Duplicates : 10167
Total Edges : 12607
Number of Edge Types : 9
Retweet : 4128
MentionsInRetweet : 4829
Mentions : 403
Replies to : 573
MentionsInReplyTo : 1320
Tweet : 1100
Quote : 75
MentionsInQuote : 62
MentionsInQuoteReply : 117
Self-Loops : 1372
Reciprocated Vertex Pair Ratio : 0.0131752305665349
Reciprocated Edge Ratio : 0.0260078023407022
Connected Components : 1016
Single-Vertex Connected Components : 358
Maximum Vertices in a Connected Component : 2039
Maximum Edges in a Connected Component : 4730
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.69288
Graph Density : 0.000180164920015795
Modularity : 0.506933
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,844 Twitter users whose recent tweets contained "COVID-19", 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 2/14/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 15 February 2023 at 08:04 UTC.
The tweets in the network were tweeted over the 1066-day, 3-hour, 9-minute period from Sunday, 15 March 2020 at 21:50 UTC to Wednesday, 15 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 : COVID-19
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:
[3975] covid,19 [708] aaron,duczak [703] talking,chest [703] chest,pain [702] pain,covid [699] world,series [699] series,poker [697] hot,mic [697] duczak,caught [697] mic,talking Top Word Pairs in Tweet in G1:
[650] covid,19 [643] caught,hot [643] talking,chest [643] chest,pain [643] world,series [643] aaron,duczak [643] hot,mic [643] player,aaron [643] pain,covid [643] poker,player Top Word Pairs in Tweet in G2:
[327] covid,19 [25] 19,vaccine [14] 19,pandemic [13] contra,covid [10] #covid,19 [9] #,# [9] casos,covid [9] pandemia,covid [8] #coronavirus,#covid19 [8] 19,vaccines Top Word Pairs in Tweet in G3:
[282] covid,19 [192] contra,covid [163] luchado,contra [163] venezuela,luchado [101] 19,debemos [95] conscientes,salir [95] debemos,seguir [95] siendo,conscientes [95] seguir,siendo [92] salir,casa Top Word Pairs in Tweet in G4:
[98] vigilantfox,dr [62] antecedent,illness [62] dr,p_mcculloughmd [62] p_mcculloughmd,see [62] young,person [62] illness,suddenly [62] previously,healthy [62] see,young [62] healthy,antecedent [62] person,previously Top Word Pairs in Tweet in G5:
[136] being,wrong [136] publishers,cash [136] wrong,everything [136] everything,aids [136] 80s,covid [136] aids,80s [136] cash,being [136] reaching,publishers [136] fauci's,reaching [135] donaldjtrumpjr,fauci's Top Word Pairs in Tweet in G6:
[186] covid,19 [63] 19,leading [62] children,contingent [62] isn,threat [62] contrary,covid [62] 19,isn [62] threat,children [53] killer,children [53] children,contrary [53] leading,killer Top Word Pairs in Tweet in G7:
[87] despite,having [87] having,medical [87] vaccinated,covid [87] denied,heart [87] transplant,vaccinated [87] mother,denied [87] medical,exemption [87] heart,transplant [87] australian,mother [87] covid,despite Top Word Pairs in Tweet in G8:
[116] covid,19 [75] children,see [75] #followthescience,covid [75] childrenshd,cdcgov [75] harming,children [75] cdcgov,time [75] 19,doesn [75] doesn,stop [75] stop,transmission [75] time,#followthescience Top Word Pairs in Tweet in G9:
[114] covid,19 [82] pela,primeira [77] 19,em [77] em,24 [74] brasil,não [66] primeira,brasil [66] não,registra [65] morte,covid [61] registra,morte [59] elaine32268185,pela Top Word Pairs in Tweet in G10:
[65] covid,19 [35] gouvernement,interdit [35] bronn,gouvernement [35] muller,bronn [35] laurence,muller [35] sénatrice,laurence [31] mort,télécommandée [31] bouton,novembre [31] 19,mort [31] graphène,vaccin Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G7:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
Top Mentioned in G8:
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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 G9:
Top Tweeters in G10: