The graph represents a network of 7,883 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 Sunday, 21 February 2021 at 21:43 UTC.
The requested start date was Friday, 19 February 2021 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, 4-hour, 16-minute period from Tuesday, 16 February 2021 at 20:44 UTC to Friday, 19 February 2021 at 01:00 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 : 7883
Unique Edges : 11916
Edges With Duplicates : 16854
Total Edges : 28770
Number of Edge Types : 5
Retweet : 4594
MentionsInRetweet : 10474
Replies to : 2346
Mentions : 11300
Tweet : 56
Self-Loops : 120
Reciprocated Vertex Pair Ratio : 0.0162610681071448
Reciprocated Edge Ratio : 0.0320017535207409
Connected Components : 5
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 7875
Maximum Edges in a Connected Component : 28758
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.71343
Graph Density : 0.000293704847245314
Modularity : 0.438194
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 7,883 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 Sunday, 21 February 2021 at 21:43 UTC.
The requested start date was Friday, 19 February 2021 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, 4-hour, 16-minute period from Tuesday, 16 February 2021 at 20:44 UTC to Friday, 19 February 2021 at 01:00 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:
[630] cdcdirector,cdcgov [626] covid,19 [579] united,states [522] cdcgov,documented [520] dear,cdcdirector [520] documented,video [520] video,photographs [520] photographs,tedcruz [520] tedcruz,left [520] left,united Top Word Pairs in Tweet in G1:
[397] covid,19 [352] listeria,outbreak [350] queso,fresco [346] fresco,pregnant [346] pregnant,aged [346] aged,65 [344] outbreak,update [344] update,eat [344] eat,sell [344] sell,serve Top Word Pairs in Tweet in G2:
[114] kyrstensinema,cdcgov [98] wear,mask [89] social,distance [85] save,lives [84] wash,hands [84] #covid19,#coronavirus [84] mask,social [84] distance,wash [82] #coronavirus,help [82] help,save Top Word Pairs in Tweet in G3:
[575] cdcdirector,cdcgov [521] united,states [520] dear,cdcdirector [520] cdcgov,documented [520] documented,video [520] video,photographs [520] photographs,tedcruz [520] tedcruz,left [520] left,united [519] donwinslow,dear Top Word Pairs in Tweet in G4:
[213] dr,fauci [213] dra,rwalensky [213] rwalensky,directora [213] directora,cdcgov [212] hemos,enviado [212] enviado,carta [212] carta,casa [212] casa,blanca [212] blanca,dr [212] fauci,dra Top Word Pairs in Tweet in G5:
[113] senrickscott,cdcgov [81] cdc,put [81] put,quite [81] quite,frankly [81] frankly,disgrace [81] disgrace,#florida's [81] #florida's,govrondesantis [81] govrondesantis,vowed [81] vowed,keep [81] keep,#schools Top Word Pairs in Tweet in G6:
[35] adarcymahoney,cdcgov [30] webinar,school [29] ecdc_eu,cdcgov [27] apsmunro,ecdc_eu [27] go,over [25] supts,please [25] please,retweet [25] retweet,tomorrow [25] tomorrow,cdcgov [25] cdcgov,10 Top Word Pairs in Tweet in G7:
[54] cdcgov,cdcmmwr [26] covid,19 [16] #covid19,first [15] reminder,applications [15] applications,cdc [15] cdc,aphl [15] aphl,bioinformatics [15] bioinformatics,#fellowship [15] #fellowship,program [15] program,due Top Word Pairs in Tweet in G8:
[124] starting,mon [124] mon,feb [124] feb,22 [124] 22,teachers [124] teachers,support [124] support,staff [124] staff,working [124] working,12 [124] 12,schools [124] schools,daycares Top Word Pairs in Tweet in G9:
[12] former,cdcgov [12] cdcgov,director [11] blog,former [11] director,drtomfrieden [11] drtomfrieden,currently [11] currently,resolvetsl [11] resolvetsl,argues [11] argues,joebiden [11] joebiden,improve [10] health_affairs,blog Top Word Pairs in Tweet in G10:
[16] during,#covid19 [16] winter,weather [15] natural,feel [15] feel,stress [15] cdcgov,cdcemergency [15] forecast,change [15] change,quickly [15] quickly,stay [15] stay,updated [15] updated,conditions Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: