The graph represents a network of 4,743 Twitter users whose recent tweets contained "#CDC", 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 1/10/2023 5:00:34 PM. The network was obtained from Twitter on Wednesday, 11 January 2023 at 10:58 UTC.
The tweets in the network were tweeted over the 3584-day, 11-hour, 55-minute period from Tuesday, 19 March 2013 at 13:04 UTC to Wednesday, 11 January 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 : 4743
Unique Edges : 1955
Edges With Duplicates : 9691
Total Edges : 11646
Number of Edge Types : 9
Retweet : 3991
MentionsInRetweet : 4821
Tweet : 776
Replies to : 333
MentionsInReplyTo : 929
MentionsInQuote : 101
Quote : 269
Mentions : 414
MentionsInQuoteReply : 12
Self-Loops : 1009
Reciprocated Vertex Pair Ratio : 0.0085052479189287
Reciprocated Edge Ratio : 0.016867037502243
Connected Components : 407
Single-Vertex Connected Components : 197
Maximum Vertices in a Connected Component : 3589
Maximum Edges in a Connected Component : 9012
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 4.906736
Graph Density : 0.00024778463287103
Modularity : 0.465236
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,743 Twitter users whose recent tweets contained "#CDC", 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 1/10/2023 5:00:34 PM. The network was obtained from Twitter on Wednesday, 11 January 2023 at 10:58 UTC.
The tweets in the network were tweeted over the 3584-day, 11-hour, 55-minute period from Tuesday, 19 March 2013 at 13:04 UTC to Wednesday, 11 January 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 : #CDC
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:
[1022] #fauci,#gates [1019] #cdc,#bigpharma [1006] #gates,#schwab [1006] #schwab,#cdc [962] #bigpharma,#worldeconomicfourm [603] #pfizer,#moderna [557] conspiracy,theorists [554] resistance,#fauci [554] theorists,resistance [552] #worldeconomicfourm,#crimesagainsthumani Top Word Pairs in Tweet in G1:
[943] #fauci,#gates [935] #cdc,#bigpharma [933] #gates,#schwab [933] #schwab,#cdc [893] #bigpharma,#worldeconomicfourm [518] resistance,#fauci [518] theorists,resistance [518] conspiracy,theorists [517] #worldeconomicfourm,#crimesagainsthumani [517] riggedgov,conspiracy Top Word Pairs in Tweet in G2:
[105] newsfilter2,#cdc [99] #diedsuddenly,#diedsuddenlydocumentary [99] #fda,#cdc [98] day,#diedsuddenly [98] #diedsuddenlydocumentary,#pfizer [98] #moderna,#fauciliedmillionsdied [98] #pfizer,#moderna [98] feel,day [98] #fauciliedmillionsdied,#fda [97] #cdc,#bidenwor Top Word Pairs in Tweet in G3:
[304] #cdc,hidden [304] murder,look [304] knew,#pfizer [304] hidden,dangers [304] dangers,#fauci [304] fraud,murder [304] #vaccines,knew [304] #fauci,#vaccines [304] look,#cdc [304] #pfizer,#moderna Top Word Pairs in Tweet in G4:
[41] unvaccinated,foreigners [39] travel,ban [36] vaccine,mandate [30] ban,unvaccinated [24] lawsuits,18 [24] later,truth [24] months,later [24] 18,months [22] medical,care [22] care,days Top Word Pairs in Tweet in G5:
[113] #pfizer,#moderna [102] #moderna,#mrna [102] #mrna,#covid [101] #covid,#covidvaccine [101] #covidvaccine,#covid19 [98] #covid19,#covid_19 [98] #covid_19,#heartattack [71] #heartattack,#sads [54] #sads,#myocarditis [54] #fda,#cdc Top Word Pairs in Tweet in G6:
[97] china,hong [97] kong,macau [97] hong,kong [93] testing,requirement [93] macau,required [93] yrs,older [93] flying,china [93] requirement,yrs [93] older,flying [93] required,show Top Word Pairs in Tweet in G7:
[152] 2023,thelaboratoryio [152] second,giveaway [152] thelaboratoryio,ends [152] utc,10 [152] january,2023 [152] 2023,enter [152] follow,therealcyber [152] ends,12 [152] 10,january [152] 12,utc Top Word Pairs in Tweet in G8:
[33] #orwell,#doubleplusgoodspeak [33] #bannedwords,#orwell [33] #doubleplusgoodspeak,#maga [33] #cdc,#cdc7words [33] #maga,#trumphasdementia [33] #cdc7words,#bannedwords [12] #cdc,#who [10] covid,19 [10] #fda,#cdc [9] #lauterbach,#luther Top Word Pairs in Tweet in G9:
[135] ワクチン接種は必要ない,ハーヴェイ [135] ハーヴェイ,リッシュ博士は [135] コロナウイルスの死亡率はインフルエンザと同程度で,ワクチン接種は必要ない [126] リッシュ博士は,コロナウイルス感染による死亡率はインフルエンザと同程度で [126] コロナワクチンによる死亡率よりも数桁低いことを指摘した,#コロナワクチン [126] コロナウイルス感染による死亡率はインフルエンザと同程度で,コロナワクチンによる死亡率よりも数桁低いことを指摘した [125] himalayajapan,コロナウイルスの死亡率はインフルエンザと同程度で [125] #コロナワクチン,#死亡 [30] cdcは,心筋炎や心膜炎などの新型コロナウイルスワクチンの副作用に関する3万件以上の記録を [28] 心筋炎や心膜炎などの新型コロナウイルスワクチンの副作用に関する3万件以上の記録を,同社が管理するワクチン副作用報告システムであるvaersから3回も削除したことが明らかになった Top Word Pairs in Tweet in G10:
[16] pain,patients [11] abandoned,pain [10] #cdc,#cdcguidelines [10] show,#opioid [10] guidelines,show [10] #opioid,#cdc [10] opioid,guidelines [10] patients,opioid [10] cdc,abandoned [10] jonelleelgaway,cdc 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 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: