The graph represents a network of 6,809 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 November 2022 at 21:00 UTC.
The requested start date was Friday, 25 November 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 2-day, 23-hour, 36-minute period from Tuesday, 22 November 2022 at 01:17 UTC to Friday, 25 November 2022 at 00:53 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 : 6809
Unique Edges : 10122
Edges With Duplicates : 16775
Total Edges : 26897
Number of Edge Types : 5
Replies to : 3219
Mentions : 10046
MentionsInRetweet : 9486
Retweet : 4112
Tweet : 34
Self-Loops : 79
Reciprocated Vertex Pair Ratio : 0.0143186204320488
Reciprocated Edge Ratio : 0.0282329834898423
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 6798
Maximum Edges in a Connected Component : 26876
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.629771
Graph Density : 0.000351478024091637
Modularity : 0.374307
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,809 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 November 2022 at 21:00 UTC.
The requested start date was Friday, 25 November 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 2-day, 23-hour, 36-minute period from Tuesday, 22 November 2022 at 01:17 UTC to Friday, 25 November 2022 at 00:53 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:
[565] cdcgov,cdcdirector [499] dose,pfizer [471] higher,rate [470] booster,dose [470] canadian,study [469] vax,myo [467] 12,17 [467] boys,94 [467] pfizer,higher [467] finds,3rd Top Word Pairs in Tweet in G1:
[167] mentioning,masks [164] political,masters [164] oh,god [163] masters,forbid [163] avoided,mentioning [163] god,cdcgov [163] studiously,avoided [163] masks,months [163] cdcgov,studiously [163] months,political Top Word Pairs in Tweet in G2:
[478] dose,pfizer [452] canadian,study [451] vax,myo [449] boys,94 [449] 17,boys [449] myo,12 [449] booster,dose [449] pfizer,higher [449] 12,17 [449] higher,rate Top Word Pairs in Tweet in G3:
[214] cdcgov,cdcdirector [175] cdcdirector,cdcgov [83] us_fda,pfizer [76] mask,mask [72] alexander_tin,cdcgov [72] sarahlerner,cdcgov [69] cdcgov,pfizer [69] pfizer,biontech_group [64] pfizer,cdcgov [56] potus,vp Top Word Pairs in Tweet in G4:
[302] cdcgov,cdcdirector [300] cdcdirector,cdcflu [288] word,mask [287] oh,hell [286] hell,cdcgov [286] blacklisted,word [286] again,avoiding [286] beds,icus [286] pediatric,hospital [286] hospital,beds Top Word Pairs in Tweet in G5:
[36] cdcgov,us_fda [26] covid,deaths [26] cdcgov,joebiden [26] imminent,threat [26] majority,covid [26] trust,cdcgov [24] geraldorivera,cdcgov [24] make,majority [23] never,trust [23] vaccinated,people Top Word Pairs in Tweet in G6:
[159] thanks,nih [157] doing,cdcgov [157] nih,doing [156] exceedhergrasp1,thanks [87] nih,cdcgov [47] cdcgov,whitehouse [46] judgeclayj,nih [27] cdcgov,nih [19] exceedhergrasp1,nih [14] cdcgov,fda Top Word Pairs in Tweet in G7:
[256] cdcgov,cdcmmwr [73] cdcmmwr,shows [63] covid,19 [45] mild,moderate [44] shows,adults [44] 19,over [44] moderate,covid [44] adults,prescribed [44] over,50 [44] 50,less Top Word Pairs in Tweet in G8:
[6] prior,infection [6] evidence,prior [4] original,vaccine [4] cnnpolitics,foxnewspolitics [4] participants,evidence [4] cdcgov,us_fda [4] contained,1200 [4] dnc,whitehouse [4] pfizer,original [4] vaccine,trial Top Word Pairs in Tweet in G9:
[44] cdcgov,wsj [43] nonopioidchoice,cdcgov [43] healthyfla,cdcgov [39] ronwyden,mikecrapo [37] cdcgov,ronwyden [21] cdcgapmisapp,cdcinjury [21] chaddkollas,healthyfla [20] wsj,cdcgapmisapp [18] jeremyredfernfl,chaddkollas [12] jagsgatorsfish,ghanaboypharmd Top Word Pairs in Tweet in G10:
[8] nsvrc,missingkids [8] overdose,deaths [8] deaths,according [8] pills,one [8] drivers,growing [8] number,overdose [8] alarming,number [8] one,drivers [8] growing,alarming [8] fake,pills 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:
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Top Mentioned in G5:
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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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: