The graph represents a network of 5,743 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 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 08:04 UTC.
The tweets in the network were tweeted over the 1076-day, 8-hour, 35-minute period from Tuesday, 03 March 2020 at 16:25 UTC to Monday, 13 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 : 5743
Unique Edges : 2051
Edges With Duplicates : 10693
Total Edges : 12744
Number of Edge Types : 9
Retweet : 3734
MentionsInRetweet : 4143
Quote : 195
Tweet : 1048
Replies to : 1324
MentionsInReplyTo : 1964
Mentions : 273
MentionsInQuoteReply : 40
MentionsInQuote : 23
Self-Loops : 1307
Reciprocated Vertex Pair Ratio : 0.0113033053605069
Reciprocated Edge Ratio : 0.0223539373412362
Connected Components : 973
Single-Vertex Connected Components : 360
Maximum Vertices in a Connected Component : 2564
Maximum Edges in a Connected Component : 6502
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.281334
Graph Density : 0.000179067964738076
Modularity : 0.479729
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,743 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 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 08:04 UTC.
The tweets in the network were tweeted over the 1076-day, 8-hour, 35-minute period from Tuesday, 03 March 2020 at 16:25 UTC to Monday, 13 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:
[4461] covid,19 [593] 19,vaccines [553] welcome,twitter [553] twitter,timeline [553] timeline,rebekah [553] whistleblower,exposed [553] florida,scientist [553] scientist,whistleblower [553] rebekah,florida [553] fraud,covid Top Word Pairs in Tweet in G1:
[550] covid,19 [548] twitter,timeline [548] fraud,covid [548] florida,scientist [548] scientist,whistleblower [548] rebekah,florida [548] welcome,twitter [548] whistleblower,exposed [548] exposed,fraud [548] timeline,rebekah Top Word Pairs in Tweet in G2:
[437] safety,data [434] behind,hepatitis [434] lack,safety [434] newborns,covid [434] covid,vaccines [434] shocking,aaron [434] aaron,siri [434] siri,exposes [434] data,behind [434] vaccine,newborns Top Word Pairs in Tweet in G3:
[324] covid,19 [35] 19,vaccines [25] vaccines,pregnancy [25] pregnancy,emails [25] officials,discussed [25] adverse,event [25] top,officials [25] event,issue [24] issue,covid [24] discussed,adverse Top Word Pairs in Tweet in G4:
[567] covid,19 [268] 19,vaccines [267] paper,card [267] 19,digital [267] boosters,exemption [267] qr,certificate [267] digital,qr [267] card,boosters [267] vaccines,covid [267] certificate,paper Top Word Pairs in Tweet in G5:
[434] covid,19 [213] 19,vaccines [210] digital,qr [210] certificate,paper [210] click,link [210] vaccines,covid [210] vaccine,click [210] card,boosters [210] exemption,letters [210] 19,digital Top Word Pairs in Tweet in G6:
[96] covid,19 [24] 19,countermeasures [24] countermeasures,evidence [21] more,die [20] shows,c19 [20] govt,data [20] 137x,more [20] data,shows [20] intent,harm [20] figures,reveal Top Word Pairs in Tweet in G7:
[217] covid,19 [120] compartimos,informe [120] #sistemapatria,#carnetdelapatria [120] #atención,#sistemapatria [120] informe,covid [120] #carnetdelapatria,compartimos [98] carnetdlapatria,#atención [59] 19,#11feb [59] #11feb,bajemos [49] respirar,busca Top Word Pairs in Tweet in G8:
[119] covid,19 [76] killed,covid [75] posted,week [75] estimate,13 [75] week,estimate [75] article,posted [73] 13,million [72] 19,vaccine [72] million,killed [71] denisrancourt,article Top Word Pairs in Tweet in G9:
[100] covid,19 [56] covid,stay [56] body,'for [56] 'for,months' [56] infects,organs [56] autopsies,reveal [56] stay,body [56] whole,body [56] reveal,covid [56] spreads,whole Top Word Pairs in Tweet in G10:
[92] covid,19 [90] primeira,zera [90] não,registra [90] últimas,24 [90] 19,nas [90] morte,covid [90] horas,primeira [90] 24,horas [90] zera,mortes [90] nas,últimas Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
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 G10: