The graph represents a network of 6,532 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 08:24 UTC.
The tweets in the network were tweeted over the 2763-day, 8-hour, 41-minute period from Sunday, 19 July 2015 at 16:19 UTC to Saturday, 11 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 : 6532
Unique Edges : 2784
Edges With Duplicates : 11298
Total Edges : 14082
Number of Edge Types : 9
Retweet : 3840
MentionsInRetweet : 4447
Replies to : 1328
MentionsInReplyTo : 2564
Tweet : 1302
Mentions : 397
Quote : 116
MentionsInQuote : 47
MentionsInQuoteReply : 41
Self-Loops : 1589
Reciprocated Vertex Pair Ratio : 0.0241545893719807
Reciprocated Edge Ratio : 0.0471698113207547
Connected Components : 1252
Single-Vertex Connected Components : 285
Maximum Vertices in a Connected Component : 2956
Maximum Edges in a Connected Component : 7849
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 7.517672
Graph Density : 0.000159023013611751
Modularity : 0.496485
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,532 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 08:24 UTC.
The tweets in the network were tweeted over the 2763-day, 8-hour, 41-minute period from Sunday, 19 July 2015 at 16:19 UTC to Saturday, 11 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:
[1190] covid,19 [497] cdc,adds [311] covid,mrna [305] childhood,schedule [305] mrna,vaccine [300] schedule,despite [299] known,harms [299] despite,known [299] original,covid [298] vaccine,childhood Top Word Pairs in Tweet in G1:
[221] cdc,adds [133] covid,mrna [130] childhood,schedule [129] schedule,despite [129] mrna,vaccine [129] known,harms [129] vaccine,childhood [129] adds,original [129] despite,known [129] original,covid Top Word Pairs in Tweet in G2:
[76] covid,19 [9] cdc,adds [7] adds,covid [5] danielle,smith [5] public,health [5] covid,vaccines [5] routine,immunization [5] premier,danielle [5] covid,relief [4] covid,vax Top Word Pairs in Tweet in G3:
[103] covid,vaccine [95] induced,aids [94] vaccine,induced [51] vaccine,children [51] causing,vaccine [51] cdc,mandating [51] children,causing [51] mandating,covid [50] liz_churchill8,cdc [44] testing,military Top Word Pairs in Tweet in G4:
[106] georgia,senators [106] considering,blocking [106] blocking,schools [106] breaking,georgia [106] schools,state [106] state,local [106] agencies,requiring [106] local,government [106] senators,considering [106] government,agencies Top Word Pairs in Tweet in G5:
[120] cdc,adds [120] childhood,schedule [120] despite,known [120] covid,mrna [120] original,covid [120] mrna,vaccine [120] adds,original [120] known,harms [120] vaccine,childhood [120] schedule,despite Top Word Pairs in Tweet in G6:
[74] covid,19 [69] cdc,adds [64] adds,covid [61] vaccines,kids [61] adults,cnn [61] list,routine [61] 19,shots [61] shots,list [61] kids,adults [61] routine,vaccines Top Word Pairs in Tweet in G7:
[30] 30,more [30] deaths,people [30] 2020,30 [30] 25,44 [30] heart,attack [30] people,between [30] vaccine,2020 [30] attack,deaths [30] more,heart [30] compared,expected Top Word Pairs in Tweet in G8:
[20] long,covid [20] covid,vascular [19] covid,infections [19] covid,19 [16] vascular,virus [15] heart,attacks [13] repeat,covid [12] deaths,heart [12] data,covid [12] news,country Top Word Pairs in Tweet in G9:
[63] planned,parenthood [62] went,planned [62] billion,covid [62] relief,funds [62] 80,billion [62] funds,went [62] parenthood,insane [62] covid,relief [61] lifenewshq,80 [37] coming,religious Top Word Pairs in Tweet in G10:
[33] emails,detailing [33] exchange,director [33] detailing,needs [33] director,nih [33] nih,happens [33] fauci,emails [33] happens,find [33] find,fauci [32] kat_cammack,exchange [19] further,anyone Top Replied-To in Entire Graph:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: