The graph represents a network of 7,202 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, 29 July 2022 at 19:59 UTC.
The requested start date was Friday, 29 July 2022 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 2-day, 6-hour, 59-minute period from Tuesday, 26 July 2022 at 17:01 UTC to Friday, 29 July 2022 at 00:00 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 : 7202
Unique Edges : 10090
Edges With Duplicates : 16476
Total Edges : 26566
Number of Edge Types : 5
Retweet : 3900
MentionsInRetweet : 8496
Mentions : 11092
Replies to : 3017
Tweet : 61
Self-Loops : 126
Reciprocated Vertex Pair Ratio : 0.0206558223599277
Reciprocated Edge Ratio : 0.0404755881608905
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 7202
Maximum Edges in a Connected Component : 26566
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.707914
Graph Density : 0.000304888383509634
Modularity : 0.393888
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,202 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, 29 July 2022 at 19:59 UTC.
The requested start date was Friday, 29 July 2022 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 2-day, 6-hour, 59-minute period from Tuesday, 26 July 2022 at 17:01 UTC to Friday, 29 July 2022 at 00:00 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:
[386] covid,19 [361] cdcdirector,cdcgov [297] denise_dewald,cdcgov [297] peanut,butter [266] cdcgov,cdcdirector [197] recalled,peanut [182] months,older [180] cdcgov,#monkeypox [169] drericding,cdcgov [156] cdcgov,monkeypox Top Word Pairs in Tweet in G1:
[287] covid,19 [274] peanut,butter [180] recalled,peanut [160] cdcgov,#monkeypox [155] months,older [139] cdcgov,monkeypox [122] info,cdcgov [119] much,misinformation [119] misinformation,casual [119] casual,homophobia Top Word Pairs in Tweet in G2:
[292] cdcdirector,cdcgov [159] drericding,cdcgov [129] cdcgov,cdcdirector [104] pharmadecisions,cdcgov [101] krnow21,pharmadecisions [100] mask,mandates [83] time,between [82] alexander_tin,cdcgov [81] waiting,until [81] until,cases Top Word Pairs in Tweet in G3:
[73] cdcgov,cdcdirector [69] us_fda,cdcgov [65] hhsgov,cdcgov [59] cdcgov,nih [49] potus,cdcgov [38] cdcgov,potus [37] repthomasmassie,us_fda [36] cnn,msnbc [35] nih,us_fda [35] randgirlang,faceles007 Top Word Pairs in Tweet in G4:
[31] genomic,surveillance [28] #icymi,published [28] published,global [28] global,genomic [28] surveillance,strategy [28] strategy,pathogens [28] pathogens,epidemic [28] epidemic,pandemic [28] pandemic,potential [27] mvankerkhove,#icymi Top Word Pairs in Tweet in G5:
[285] denise_dewald,cdcgov [52] ryanmarino,denise_dewald [29] cdcgov,guardian [29] guardian,careygillam [29] careygillam,joerogan [27] brianhmathison,cdcgov [20] ryanmarino,brianhmathison [19] bad,idea [18] bleach,urine [17] drjengunter,ryanmarino Top Word Pairs in Tweet in G6:
[56] gulf,coast [55] doctors,along [55] along,gulf [55] coast,need [55] need,know [55] know,burkholderia [55] burkholderia,pseudomallei [55] pseudomallei,causes [55] causes,#melioidosis [55] #melioidosis,probably Top Word Pairs in Tweet in G7:
[89] #anthrax,vaccine [89] vaccine,available [89] available,tigray [89] tigray,due [89] due,complete [89] complete,siege [89] siege,medicine [89] medicine,food [89] food,water [89] water,basic Top Word Pairs in Tweet in G8:
[22] guglar9,cdcgov [19] 2cynical65,cdcgov [15] cdcgov,become [15] become,political [15] political,organization [15] organization,instead [15] instead,scientific [15] scientific,one [15] one,trust [15] trust,data Top Word Pairs in Tweet in G9:
[6] suzanneleavey,cdcgov [6] cdcgov,healthy [5] rescind,gls [5] remember,cdcgov [5] healthy,diet [5] diet,food [5] food,pyramid [5] pyramid,learned [5] learned,unfortunately [5] unfortunately,middle Top Word Pairs in Tweet in G10:
[14] aids_conference,cdcgov [14] usembassyaddis,cdcgov [13] week,aids_conference [13] cdcgov,present [10] present,research [8] living,#hiv [8] cdcglobal,week [8] cdcgov,please [7] cdcglobal,research [6] research,malawi Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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:
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: