The graph represents a network of 5,136 Twitter users whose recent tweets contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 20:56 UTC.
The tweets in the network were tweeted over the 1084-day, 2-hour, 40-minute period from Friday, 21 February 2020 at 22:19 UTC to Friday, 10 February 2023 at 00:59 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 : 5136
Unique Edges : 6725
Edges With Duplicates : 13788
Total Edges : 20513
Number of Edge Types : 9
Replies to : 2844
MentionsInReplyTo : 7921
MentionsInRetweet : 5449
Retweet : 2173
Mentions : 743
MentionsInQuote : 569
Quote : 186
Tweet : 129
MentionsInQuoteReply : 499
Self-Loops : 358
Reciprocated Vertex Pair Ratio : 0.00845431255337319
Reciprocated Edge Ratio : 0.0167668727241934
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 5136
Maximum Edges in a Connected Component : 20513
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.593689
Graph Density : 0.000447762439067301
Modularity : 0.382959
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,136 Twitter users whose recent tweets contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 20:56 UTC.
The tweets in the network were tweeted over the 1084-day, 2-hour, 40-minute period from Friday, 21 February 2020 at 22:19 UTC to Friday, 10 February 2023 at 00:59 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 : @CDCgov OR @CDC_eHealth OR @CDCemergency
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:
[1130] cdcgov,elonmusk [655] jordanbpeterson,cdcgov [478] follow,accounts [475] twitter,refusing [473] accounts,case [473] allow,follow [473] case,cdcgov [473] refusing,allow [472] jordanbpeterson,twitter [448] shut,down Top Word Pairs in Tweet in G1:
[1124] cdcgov,elonmusk [651] jordanbpeterson,cdcgov [476] follow,accounts [473] twitter,refusing [471] allow,follow [471] refusing,allow [471] case,cdcgov [471] accounts,case [470] jordanbpeterson,twitter [124] covid,19 Top Word Pairs in Tweet in G2:
[437] silencing,critics [436] critics,policy [436] helped,shut [436] world,silencing [436] really,damaged [436] liars,helped [436] down,world [436] policy,really [436] shut,down [435] damaged,ge Top Word Pairs in Tweet in G3:
[30] cdcgov,nih [27] nih,us_fda [26] housecommerce,cdcgov [26] replarrybucshon,housecommerce [24] abc,cbsnews [22] cdcgov,us_fda [21] cbsnews,nbcnews [20] senategop,senatedems [20] cdcgov,pfizer [20] housedemocrats,senategop Top Word Pairs in Tweet in G4:
[83] cdcgov,cdcdirector [70] cdcdirector,cdcgov [31] covid,19 [24] alexander_tin,usrepgarypalmer [21] usrepgarypalmer,cdcgov [19] us_fda,cdcdirector [18] billdubs,thechiefnerd [15] vaccination,rates [14] cdcgov,more [13] danastingregory,cdcdirector Top Word Pairs in Tweet in G5:
[309] cdcgov,cdcmmwr [81] updated,#covid19 [79] people,aged [79] #covid19,vaccine [70] years,older [69] 12,years [68] vaccine,less [68] older,updated [68] aged,12 [67] finds,people Top Word Pairs in Tweet in G6:
[163] cdcgov,nih [159] nih,thedemocrats [149] hitler,today [149] referring,hitler [149] einstein,referring [149] refers,wef [149] fauci,cdcgov [149] thedemocrats,many [149] many,name [149] wef,fauci Top Word Pairs in Tweet in G7:
[197] timrunshismouth,cdcgov [64] cdcgov,way [63] way,cdc [63] propaganda,vaccines [63] cdc,anything [63] anything,push [63] push,propaganda [38] cdcgov,one [36] studies,believes [36] believes,anymore Top Word Pairs in Tweet in G8:
[9] breelee420,cdcgov [7] kpascuch,breelee420 [4] fireisborn3,cdcgov [3] died,13 [3] cdcgov,cdcdirector [3] horribly,gabapentin [3] end,suffered [3] 23,agony [3] agony,nurse [3] 45,years Top Word Pairs in Tweet in G9:
[43] cathymcmorris,cdcgov [13] fema,cdcgov [13] cdcgov,influenced [13] closed,used [13] studies,justify [13] influenced,teachers [13] unions,keep [13] used,unreliable [13] teachers,unions [13] keep,schools Top Word Pairs in Tweet in G10:
[5] cpho_canada,veraetches [5] justintrudeau,cafreeland [5] veraetches,dave_eby [5] dave_eby,justintrudeau [5] pierrepoilievre,hedyfry [5] cafreeland,pierrepoilievre [4] thelancet,publicó [4] publicó,hecho [4] necesidad,confirmar [4] canindependent,cdcgov Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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 G4:
Top Mentioned in G5:
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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:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: