The graph represents a network of 7,600 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, 28 January 2022 at 21:38 UTC.
The requested start date was Friday, 28 January 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 6-day, 4-hour, 3-minute period from Friday, 21 January 2022 at 20:58 UTC to Friday, 28 January 2022 at 01:01 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 : 7600
Unique Edges : 11358
Edges With Duplicates : 29419
Total Edges : 40777
Number of Edge Types : 5
Mentions : 23950
Replies to : 3059
Retweet : 3998
MentionsInRetweet : 9713
Tweet : 57
Self-Loops : 199
Reciprocated Vertex Pair Ratio : 0.0282831717961798
Reciprocated Edge Ratio : 0.0550104729357292
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 7593
Maximum Edges in a Connected Component : 40764
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.734604
Graph Density : 0.000314134131222252
Modularity : 0.312584
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,600 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, 28 January 2022 at 21:38 UTC.
The requested start date was Friday, 28 January 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 6-day, 4-hour, 3-minute period from Friday, 21 January 2022 at 20:58 UTC to Friday, 28 January 2022 at 01:01 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:
[501] cdcgov,website [493] another,dishonest [492] dishonest,story [492] story,cnn [492] cnn,asked [492] asked,evidence [492] evidence,sent [492] sent,cdcgov [492] website,acknowledges [492] acknowledges,myocarditis Top Word Pairs in Tweet in G1:
[489] cdcgov,website [487] another,dishonest [486] dishonest,story [486] story,cnn [486] cnn,asked [486] asked,evidence [486] evidence,sent [486] sent,cdcgov [486] website,acknowledges [486] acknowledges,myocarditis Top Word Pairs in Tweet in G2:
[347] vaccine,shot [294] cdcdirector,cdcgov [264] #covid19,vaccine [176] cdcgov,cdcdirector [170] us_fda,cdcgov [148] booster,shot [131] shot,2nd [115] free,1st [115] 1st,#covid19 [114] 2nd,#covid19 Top Word Pairs in Tweet in G3:
[67] immunocompromised,patients [61] today's,cdcgov [61] cdcgov,call [61] call,pharmacists [61] pharmacists,clarifying [61] clarifying,immunocompromised [61] patients,booster [61] booster,done [60] lizszabo,today's [43] lizszabo,cdcgov Top Word Pairs in Tweet in G4:
[77] college,students [76] forced,take [75] straight,college [75] students,forced [75] take,booster [75] booster,don [75] don,need [75] need,strengthen [74] freecollegekids,straight [74] strengthen,vaccine Top Word Pairs in Tweet in G5:
[97] hhsgov,cdcgov [97] cdcgov,whitehouse [81] join,tomorrow [81] tomorrow,conversation [81] conversation,whether [81] whether,response [81] response,hhsgov [81] whitehouse,#covid [81] #covid,still [81] still,leaving Top Word Pairs in Tweet in G6:
[125] surprising,thing [125] thing,report [125] report,cdcgov [125] cdcgov,allowed [125] allowed,published [124] repthomasmassie,surprising [48] natural,immunity [47] immunity,provided [47] provided,significantly [47] significantly,more Top Word Pairs in Tweet in G7:
[8] lauramiers,donnademaria1 [8] donnademaria1,micah_arsham [8] micah_arsham,danaparish [8] danaparish,mskathleenquinn [8] mskathleenquinn,stephjantzen [8] stephjantzen,emilygraymd_mph [8] emilygraymd_mph,vikingsfanchet [7] cdcdirector,cdcgov [7] yaneerbaryam,thewhn [7] safeschoolsny,nycschools Top Word Pairs in Tweet in G8:
[70] cdcgov,cdcmmwr [43] adults,#covid19 [33] #covid19,booster [30] cdcmmwr,found [30] found,#omicron [30] #omicron,first [30] first,began [30] began,circulating [30] circulating,adults [30] booster,dose Top Word Pairs in Tweet in G9:
[130] gwschmedes,cdcgov [15] kids,outbreak [14] remember,cdcgov [14] cdcgov,recommends [14] recommends,masking [14] masking,kids [14] kids,based [14] based,arizona [14] arizona,study [14] study,covid Top Word Pairs in Tweet in G10:
[30] cdcgov,cdcdirector [25] drtedros,cdcgov [21] cdcdirector,govcanhealth [15] govcanhealth,cpho_canada [15] cpho_canada,jyduclos [15] jyduclos,liberal_party [15] liberal_party,canadianpm [15] yelich_ivana,effie_onb [14] canadianpm,canada [13] fordnation,celliottability Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: