The graph represents a network of 6,955 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 2/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 February 2023 at 11:50 UTC.
The tweets in the network were tweeted over the 1819-day, 9-hour, 32-minute period from Tuesday, 20 February 2018 at 15:28 UTC to Tuesday, 14 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 : 6955
Unique Edges : 3758
Edges With Duplicates : 10386
Total Edges : 14144
Number of Edge Types : 9
Retweet : 3472
MentionsInRetweet : 4230
Replies to : 1438
MentionsInReplyTo : 2681
Mentions : 560
Tweet : 1529
MentionsInQuote : 88
Quote : 126
MentionsInQuoteReply : 20
Self-Loops : 1874
Reciprocated Vertex Pair Ratio : 0.0237618093329516
Reciprocated Edge Ratio : 0.046420581655481
Connected Components : 1534
Single-Vertex Connected Components : 443
Maximum Vertices in a Connected Component : 2671
Maximum Edges in a Connected Component : 6758
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 9.2979
Graph Density : 0.000147875315801259
Modularity : 0.535322
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,955 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 2/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 February 2023 at 11:50 UTC.
The tweets in the network were tweeted over the 1819-day, 9-hour, 32-minute period from Tuesday, 20 February 2018 at 15:28 UTC to Tuesday, 14 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:
[1172] covid,19 [198] federal,medicina [198] conselho,federal [184] covid,vaccines [181] long,covid [155] 19,vaccine [154] não,há [152] gain,function [147] justificativa,científica [136] há,justificativa Top Word Pairs in Tweet in G1:
[146] covid,19 [26] economy,see [26] management,company [26] many,believe [26] market,sign [26] sign,still [26] week,market [26] wealth,management [26] hot,economy [26] still,hot Top Word Pairs in Tweet in G2:
[189] federal,medicina [189] conselho,federal [143] não,há [142] justificativa,científica [131] há,justificativa [99] conter,covid [99] máscaras,conter [95] recomendação,obrigatoriedade [94] obrigatoriedade,uso [94] científica,recomendação Top Word Pairs in Tweet in G3:
[62] become,unsafe [61] drugs,become [61] context,covid [61] ivm,proven [61] drkellyvictory,drug [61] unsafe,context [61] safe,drugs [61] hcq,ivm [61] covid,drkellyvictory [61] proven,safe Top Word Pairs in Tweet in G4:
[64] covid,vaccines [61] destroyed,million [61] million,doses [61] huge,news [61] doses,covid [61] news,sweden [61] sweden,thrown [61] away,destroyed [61] thrown,away [60] petersweden7,huge Top Word Pairs in Tweet in G5:
[136] gain,function [127] pfizer,gain [127] news,pfizer [127] indictments,distractions [127] trump,indictments [127] distractions,news [127] aliens,balloons [127] balloons,trump [126] dc_draino,aliens [10] function,covid Top Word Pairs in Tweet in G6:
[28] america,performed [28] lung,transplants [28] performed,permanent [28] transplants,america [28] #covid19,damage [28] permanent,massive [28] damage,means [28] startling,10 [28] massive,#covid19 [28] 10,lung Top Word Pairs in Tweet in G7:
[18] covid,vaccines [15] covid,19 [10] aaron,siri [9] vaccine,newborns [9] behind,hepatitis [9] shocking,aaron [9] safety,data [9] lack,safety [9] data,behind [9] hepatitis,vaccine Top Word Pairs in Tweet in G8:
[30] #aviptadil,approved [15] start,reduce [15] day,avg [15] reduce,deaths [15] 408,daily [15] deaths,daily [15] approved,usa [15] #aviptadil,start [15] covid,deaths [15] daily,usa Top Word Pairs in Tweet in G9:
[12] covid,19 [6] 19,top [6] top,10 [6] 10,cause [5] vaccines,protect [5] children,covid [5] protect,children [5] associated,morbidity [5] 19,associated [5] data,shows Top Word Pairs in Tweet in G10:
[34] democrat,school [34] academically,today [34] washington,thanks [34] today,democrat [34] kids,behind [34] behind,academically [34] covid,kids [34] gaslighting,washington [34] thanks,covid [33] tedcruz,gaslighting 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 G9:
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: