The graph represents a network of 6,925 Twitter users whose recent tweets contained "COVID", 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 09:36 UTC.
The tweets in the network were tweeted over the 1064-day, 23-hour, 44-minute period from Sunday, 15 March 2020 at 01:15 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 : 6925
Unique Edges : 3281
Edges With Duplicates : 11261
Total Edges : 14542
Number of Edge Types : 9
Replies to : 1601
MentionsInReplyTo : 3194
Retweet : 3620
MentionsInRetweet : 4170
Mentions : 359
Tweet : 1293
Quote : 175
MentionsInQuote : 46
MentionsInQuoteReply : 84
Self-Loops : 1572
Reciprocated Vertex Pair Ratio : 0.024947442186405
Reciprocated Edge Ratio : 0.0486804321072063
Connected Components : 1339
Single-Vertex Connected Components : 326
Maximum Vertices in a Connected Component : 2814
Maximum Edges in a Connected Component : 7118
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 9.096099
Graph Density : 0.000152517169391454
Modularity : 0.520232
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,925 Twitter users whose recent tweets contained "COVID", 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 09:36 UTC.
The tweets in the network were tweeted over the 1064-day, 23-hour, 44-minute period from Sunday, 15 March 2020 at 01:15 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
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:
[1140] covid,19 [283] gain,function [274] function,covid [271] pfizer,admitting [271] strains,boost [271] admitting,gain [271] good,distractions [271] sure,good [271] boost,profits [271] distractions,pfizer Top Word Pairs in Tweet in G1:
[78] covid,19 [27] mayor,covid [26] nyc,mayor [26] covid,mandates [26] blasts,people [25] need,return [25] mandates,need [25] return,blasts [15] people,whatever [10] people,'i Top Word Pairs in Tweet in G2:
[251] gain,function [250] balloons,sure [250] sure,good [250] distractions,pfizer [250] good,distractions [250] admitting,gain [250] boost,profits [250] covid,strains [250] strains,boost [250] function,covid Top Word Pairs in Tweet in G3:
[138] covid,flu [137] combine,covid [137] dr,pierre [137] shots,one [137] next,time [137] big,pharma [137] pierre,next [137] flu,shots [137] plans,combine [137] one,dr Top Word Pairs in Tweet in G4:
[194] morte,covid [193] nas,últimas [193] covid,nas [193] brasil,não [193] últimas,24 [193] 24,horas [193] atenção,brasil [193] registra,nenhuma [193] não,registra [193] nenhuma,morte Top Word Pairs in Tweet in G5:
[215] covid,19 [102] 19,vaccines [97] digital,qr [97] certificate,paper [97] click,link [97] vaccines,covid [97] vaccine,click [97] card,boosters [97] exemption,letters [97] 19,digital Top Word Pairs in Tweet in G6:
[73] diana,lovanovici [71] nuremberg,alert [71] alert,based [71] elite,committing [71] based,romanian [71] global,elite [71] satanic,global [71] committing,mass [71] lovanovici,blasts [71] romanian,senator Top Word Pairs in Tweet in G7:
[45] long,covid [30] covid,19 [18] covid,stay [17] stay,body [17] whole,body [17] body,'for [17] body,infects [17] 'for,months' [17] autopsies,reveal [17] organs,including Top Word Pairs in Tweet in G8:
[15] covid,19 [9] according,analysis [9] 230,000 [9] nation,public [9] students,missing [9] missing,nation [9] 000,students [9] public,school [9] school,systems [9] stanford,230 Top Word Pairs in Tweet in G9:
[139] florida,scientist [139] exposed,fraud [139] welcome,twitter [139] scientist,whistleblower [139] covid,19 [139] fraud,covid [139] whistleblower,exposed [139] rebekah,florida [139] twitter,timeline [139] timeline,rebekah Top Word Pairs in Tweet in G10:
[97] aaron,siri [92] covid,vaccines [91] lack,safety [91] newborns,covid [91] safety,data [91] hepatitis,vaccine [91] exposes,lack [91] siri,exposes [91] behind,hepatitis [91] data,behind Top Replied-To in Entire Graph:
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 Replied-To in G10:
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: