The graph represents a network of 6,806 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 3/7/2023 5:00:33 PM. The network was obtained from Twitter on Wednesday, 08 March 2023 at 08:39 UTC.
The tweets in the network were tweeted over the 1096-day, 4-hour, 55-minute period from Friday, 06 March 2020 at 20:05 UTC to Wednesday, 08 March 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 : 6806
Unique Edges : 3397
Edges With Duplicates : 10643
Total Edges : 14040
Number of Edge Types : 9
Retweet : 3827
MentionsInRetweet : 4596
Tweet : 1353
Replies to : 1256
MentionsInReplyTo : 2377
Mentions : 382
MentionsInQuote : 106
Quote : 114
MentionsInQuoteReply : 29
Self-Loops : 1617
Reciprocated Vertex Pair Ratio : 0.0219373219373219
Reciprocated Edge Ratio : 0.0429328129356008
Connected Components : 1312
Single-Vertex Connected Components : 327
Maximum Vertices in a Connected Component : 3134
Maximum Edges in a Connected Component : 7827
Maximum Geodesic Distance (Diameter) : 35
Average Geodesic Distance : 6.988869
Graph Density : 0.000154896390637729
Modularity : 0.523006
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,806 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 3/7/2023 5:00:33 PM. The network was obtained from Twitter on Wednesday, 08 March 2023 at 08:39 UTC.
The tweets in the network were tweeted over the 1096-day, 4-hour, 55-minute period from Friday, 06 March 2020 at 20:05 UTC to Wednesday, 08 March 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:
[975] covid,19 [325] covid,vaccine [239] lied,covid [236] covid,vaccines [185] wet,market [184] tried,cover [183] fauci,tried [182] lied,jan [180] manufactured,lab [180] lab,funded Top Word Pairs in Tweet in G1:
[175] covid,19 [150] manufactured,lab [150] tried,cover [150] wet,market [149] fauci,tried [149] market,manufactured [149] repmtg,covid [149] lab,funded [149] wasn,created [149] bats,wet Top Word Pairs in Tweet in G2:
[111] time,major [111] media,telegraph [111] first,time [111] major,mainstream [111] uk,called [111] western,country [111] country,uk [111] called,arrest [111] mainstream,media [111] today,first Top Word Pairs in Tweet in G3:
[94] covid,19 [14] 19,pandemic [9] travelers,china [9] covid,origins [9] 'cover,up' [8] during,covid [8] embarks,probe [8] engaging,'cover [8] rand,paul [8] covid,vaccine Top Word Pairs in Tweet in G4:
[75] without,prescription [74] quick,doorstep [74] covid,cure [74] shipping,quick [74] coupon,code [74] use,coupon [74] dtd30,share [74] delivery,buy [74] paxlovid,ivemectin [74] ivemectin,covid Top Word Pairs in Tweet in G5:
[98] miami,open [97] novak,djokovic [92] thing,keeping [92] president,biden [92] djokovic,participating [90] keeping,novak [90] participating,miami [90] open,tennis [90] tournament,president [90] tennis,tournament Top Word Pairs in Tweet in G6:
[137] covid,lied [130] lied,covid [130] lied,jan [126] jan,stop [126] one,man [126] george,floyd [126] wuhan,lied [126] lied,wuhan [126] lied,george [126] stop,one Top Word Pairs in Tweet in G7:
[55] covid,19 [36] long,covid [15] last,year [12] frighteningly,severe [12] severe,case [12] covid,left [12] dianna,covid [12] turned,frighteningly [12] year,dianna [12] case,long Top Word Pairs in Tweet in G8:
[147] people,lied [97] same,people [94] covid,vaccine [73] lied,covid [73] russian,collusion [73] collusion,same [73] lied,russian [72] jessekellydc,people [22] jab,prevents [22] people,telling Top Word Pairs in Tweet in G9:
[96] covid,vaccines [95] think,stuff [95] jan,really [95] ve,caught [95] stuff,ve [95] past,year [95] lying,past [95] vaccines,jan [95] really,trust [95] caught,lying Top Word Pairs in Tweet in G10:
[36] find,democrats [36] democrats,pushed [36] pushed,democrats [36] web,lies [36] going,find [36] covid,unraveling [36] lies,being [36] being,pushed [36] democrats,covid [36] unraveling,going Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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:
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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:
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Top Tweeters in G7:
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Top Tweeters in G10: