The graph represents a network of 7,657 Twitter users whose tweets in the requested range contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 25 June 2021 at 20:33 UTC.
The requested start date was Friday, 25 June 2021 at 00:01 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 3-day, 3-hour, 10-minute period from Monday, 21 June 2021 at 20:50 UTC to Friday, 25 June 2021 at 00:01 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 : 7657
Unique Edges : 10730
Edges With Duplicates : 19137
Total Edges : 29867
Number of Edge Types : 5
Replies to : 2330
MentionsInRetweet : 11596
Retweet : 5041
Mentions : 10844
Tweet : 56
Self-Loops : 123
Reciprocated Vertex Pair Ratio : 0.010893870764291
Reciprocated Edge Ratio : 0.0215529465146617
Connected Components : 6
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 7650
Maximum Edges in a Connected Component : 29858
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.655435
Graph Density : 0.00030075743587833
Modularity : 0.376428
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 7,657 Twitter users whose tweets in the requested range contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 25 June 2021 at 20:33 UTC.
The requested start date was Friday, 25 June 2021 at 00:01 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 3-day, 3-hour, 10-minute period from Monday, 21 June 2021 at 20:50 UTC to Friday, 25 June 2021 at 00:01 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 : @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:
[721] cdcgov,acip [716] go,ahead [711] kid,heart [711] myocarditis,pericarditis [710] dose,#covidvaccine [709] acip,suggesting [709] suggesting,kid [709] heart,injury [709] injury,dose [709] #covidvaccine,go Top Word Pairs in Tweet in G1:
[666] cdcgov,acip [660] kid,heart [660] go,ahead [659] dose,#covidvaccine [658] acip,suggesting [658] suggesting,kid [658] heart,injury [658] injury,dose [658] #covidvaccine,go [656] insane,cdcgov Top Word Pairs in Tweet in G2:
[654] myocarditis,pericarditis [652] okay,cdcgov [652] cdcgov,posted [652] posted,myocarditis [648] pericarditis,update [648] update,admitting [648] admitting,second [647] alexberenson,okay [274] young,men [219] tburages,cdcgov Top Word Pairs in Tweet in G3:
[289] cdcgov,us_fda [198] cdcdirector,cdcgov [178] noorchashm,cdcgov [127] cdcgov,drwoodcockfda [125] cdcdirector,us_fda [122] cdcgov,cdcdirector [118] covid,19 [92] us_fda,cdcgov [73] drwoodcockfda,cdcdirector [68] covid,recovered Top Word Pairs in Tweet in G4:
[27] under,18 [26] us_fda,cdcgov [26] yes,spring [26] spring,cdcgov [26] cdcgov,finally [26] finally,recognized [26] recognized,sars [26] sars,cov [26] cov,airborne [25] celinegounder,yes Top Word Pairs in Tweet in G5:
[90] ameracadpeds,cdcgov [64] vaccine,myocarditis [58] everyone,age [58] age,12 [57] strongly,encourage [57] encourage,everyone [57] 12,older [57] older,vaccinated [57] vaccinated,benefits [57] benefits,vaccination Top Word Pairs in Tweet in G6:
[42] mrna,vaccines [38] helenbranswell,cdcgov [33] covid,19 [33] 19,associated [33] associated,hospitalizations [33] hospitalizations,occur [33] occur,adults [33] adults,severe [33] severe,disease [33] disease,occurs Top Word Pairs in Tweet in G7:
[47] delta,prevalence [46] states,highest [46] highest,delta [46] prevalence,infections [46] infections,missouri [46] missouri,arkansas [46] arkansas,outliers [46] outliers,cases [45] erictopol,states [20] cdcdirector,cdcgov Top Word Pairs in Tweet in G8:
[17] cdcgov,fda [12] tonevays,cdcgov [10] truthinitiative,cdcgov [8] tobaccofreevigo,truthinitiative [6] cdoug,cdcgov [6] vinnieno41,tonevays [5] tobaccofreevigo,chaunceygardner [5] chaunceygardner,truthinitiative [4] lancechurchill,cdoug [3] truthinitiative,disagree Top Word Pairs in Tweet in G9:
[53] repthomasmassie,cdcgov [46] vast,majority [46] resolved,rest [45] myocarditis,cases [45] cases,rare [45] rare,vast [45] majority,fully [45] fully,resolved [45] rest,supportive [45] supportive,care Top Word Pairs in Tweet in G10:
[22] docemru,realiwasframed [22] realiwasframed,ameracadpeds [22] ameracadpeds,cdcgov [22] cdcgov,us_fda [22] us_fda,hhsgov [22] hhsgov,surgeon_general [22] surgeon_general,realdonaldtrump [22] realdonaldtrump,fatima_italia [11] gnobreakthrough,docemru [11] fatima_italia,lisam Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: