The graph represents a network of 6,505 Twitter users whose tweets in the requested range contained "#CDC", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 28 December 2022 at 11:00 UTC.
The requested start date was Wednesday, 28 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 8-day, 22-hour, 23-minute period from Monday, 19 December 2022 at 02:27 UTC to Wednesday, 28 December 2022 at 00:51 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 6505
Unique Edges : 1991
Edges With Duplicates : 12343
Total Edges : 14334
Number of Edge Types : 5
Retweet : 5664
MentionsInRetweet : 6123
Tweet : 1448
Replies to : 318
Mentions : 781
Self-Loops : 1521
Reciprocated Vertex Pair Ratio : 0.00598343050015342
Reciprocated Edge Ratio : 0.0118956840018301
Connected Components : 810
Single-Vertex Connected Components : 517
Maximum Vertices in a Connected Component : 4686
Maximum Edges in a Connected Component : 10798
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.837075
Graph Density : 0.000154980604379449
Modularity : 0.452147
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,505 Twitter users whose tweets in the requested range contained "#CDC", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 28 December 2022 at 11:00 UTC.
The requested start date was Wednesday, 28 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 8-day, 22-hour, 23-minute period from Monday, 19 December 2022 at 02:27 UTC to Wednesday, 28 December 2022 at 00:51 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[1625] #fauci,#gates [1597] #cdc,#bigpharma [1578] #gates,#schwab [1578] #schwab,#cdc [1567] #bigpharma,#worldeconomicfourm [1527] bus,spotted [1520] spotted,dc [1519] yes,wanted [1519] dc,#fauci [1519] wanted,bus Top Word Pairs in Tweet in G1:
[1502] #fauci,#gates [1468] #cdc,#bigpharma [1468] #gates,#schwab [1468] #schwab,#cdc [1466] #bigpharma,#worldeconomicfourm [1423] spotted,dc [1422] wanted,bus [1422] yes,wanted [1422] bus,spotted [1422] dc,#fauci Top Word Pairs in Tweet in G2:
[511] syndrome,#sads [511] confirms,118k [511] arrhythmic,death [511] #sads,covid [511] death,syndrome [511] covid,vaccine [511] 118k,sudden [511] vaccine,roll [511] sudden,arrhythmic [509] roll,#stoptheshots Top Word Pairs in Tweet in G3:
[85] #cdc7words,#bannedwords [85] #doubleplusgoodspeak,#maga [85] #maga,#trumphasdementia [85] #bannedwords,#orwell [85] #cdc,#cdc7words [85] #orwell,#doubleplusgoodspeak [40] #fda,#cdc [26] #cdc,#fda [24] disease,control [23] posting,#gettr Top Word Pairs in Tweet in G4:
[431] comment,premières [431] était,#censurer [431] premières,demandes [431] l'administration,#biden [431] #biden,était [431] #covid,comment [431] #twitterfiles10,spécial [431] spécial,#covid [431] demandes,l'administration [430] mmtchi,#twitterfiles10 Top Word Pairs in Tweet in G5:
[262] health,authorities [261] here's,against [261] vitamin,biggest [261] obvious,'tell' [261] biggest,glaringly [261] glaringly,obvious [261] against,vitamin [261] 'tell',health [260] chrismartenson,here's [8] #gates,#schwab Top Word Pairs in Tweet in G6:
[37] 1000,births [37] fdr,one [37] true,verified [37] baseline,fetal [37] fetal,death [37] births,22 [37] verified,data [37] one,month [37] data,baseline [37] death,rate Top Word Pairs in Tweet in G7:
[18] disease,control [18] centers,disease [17] agents,#zoonotic [17] viruses,including [17] deadly,pathogenic [17] documents,frm [17] including,one [17] pathogenic,agents [17] one,deemed [17] #zoonotic,bacteria Top Word Pairs in Tweet in G8:
[68] #cro,#crofam [41] full,swing [41] excited,announce [41] collaboration,cryptocomnft [41] swing,excited [41] factory,full [41] announce,collaboration [40] eyeball_games,factory [40] cryptocomnft,hos [36] #crofam,#cro Top Word Pairs in Tweet in G9:
[105] #vaccines,destroy [105] causing,#covid19 [105] #covid19,#covidisnotover [105] #covidisnotover,until [105] #vaccines,causing [105] evidence,#vaccines [105] until,dangerous [105] dangerous,#vaccines [104] destroy,immunity [104] derricksweet,evidence Top Word Pairs in Tweet in G10:
[56] #pfizer,#moderna [39] #cdc,#drpetermccullough [39] #drpetermccullough,#stoptheshots [39] #stoptheshotsnow,#bigpharma [39] rounds,public [39] grand,rounds [39] pandemic,grand [39] public,dr [39] #bigpharma,pandemic [39] #stoptheshots,#stoptheshotsnow Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: