The graph represents a network of 7,429 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, 26 February 2021 at 21:42 UTC.
The requested start date was Friday, 26 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, 6-hour, 48-minute period from Tuesday, 23 February 2021 at 18:12 UTC to Friday, 26 February 2021 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 : 7429
Unique Edges : 9940
Edges With Duplicates : 19946
Total Edges : 29886
Number of Edge Types : 5
Replies to : 2667
Mentions : 12191
MentionsInRetweet : 10559
Retweet : 4415
Tweet : 54
Self-Loops : 212
Reciprocated Vertex Pair Ratio : 0.014647639404036
Reciprocated Edge Ratio : 0.0288723667905824
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 7424
Maximum Edges in a Connected Component : 29877
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.805053
Graph Density : 0.000292483436630365
Modularity : 0.388677
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 7,429 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, 26 February 2021 at 21:42 UTC.
The requested start date was Friday, 26 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, 6-hour, 48-minute period from Tuesday, 23 February 2021 at 18:12 UTC to Friday, 26 February 2021 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:
[474] covid,19 [314] statedept,hhsgov [311] usdot,cdcgov [309] hhsgov,dhsgov [309] dhsgov,usdot [309] 14,days [307] month,potus [307] potus,gave [307] gave,statedept [306] cdcgov,14 Top Word Pairs in Tweet in G1:
[260] repkinzinger,cdcgov [210] #covid19,cases [185] listeria,outbreak [184] eat,abuelito [184] abuelito,brand [184] brand,cheeses [181] outbreak,update [181] update,eat [181] cheeses,addition [181] addition,recalled Top Word Pairs in Tweet in G2:
[171] doors,windows [171] windows,closed [168] hawaii,21 [168] 21,cases [168] cases,linked [168] linked,fitness [168] fitness,instructor [168] instructor,little [168] little,mask [168] mask,use Top Word Pairs in Tweet in G3:
[314] statedept,hhsgov [311] usdot,cdcgov [309] hhsgov,dhsgov [309] dhsgov,usdot [307] month,potus [307] potus,gave [307] gave,statedept [306] cdcgov,14 [304] 14,days [304] days,submit Top Word Pairs in Tweet in G4:
[65] cdcgov,us_fda [38] healthranger,cdcgov [36] #covid19,vaccine [35] jama_current,cdcgov [32] borisjohnson,sputnikvaccine [32] pfizer,biontech [31] sputnikvaccine,sputnikv [31] cdcgov,21 [31] 21,anaphylaxis [31] anaphylaxis,cases Top Word Pairs in Tweet in G5:
[14] dwmoskowitz,thebma [14] thebma,nhsuk [14] nhsuk,nhsenglandldn [14] nhsenglandldn,nhsengland [14] nhsengland,cdcgov [13] unicef_egypt,whoegypt [13] whoegypt,hrw [13] hrw,unicef [13] unicef,unhumanrights [13] unhumanrights,unfoundation Top Word Pairs in Tweet in G6:
[158] cdcgov,cdcmmwr [32] kathymi71147962,cdcgov [29] #covid19,cases [28] cdcgov,annalsofepi [26] cdcmmwr,finds [25] stunned,dr [25] dr,williams' [25] williams',admission [25] admission,until [25] until,later Top Word Pairs in Tweet in G7:
[67] issaquahschools,cdcgov [45] zack_b_nimble,cdcgov [41] ryankiro7,issaquahschools [29] adamjkrejci,cdcgov [25] ryankiro7,kiro7seattle [25] kiro7seattle,issaquahschools [19] covid,19 [17] happening,hundreds [17] hundreds,issaquahschools [17] issaquahschools,parents Top Word Pairs in Tweet in G8:
[70] capublichealth,cdcgov [68] sccgov,ucsf [68] ucsf,capublichealth [41] cychiu98,sccgov [34] trvrb,cychiu98 [22] trvrb,sccgov [19] cychiu98,trvrb [15] sars,cov [14] hi,labs [14] labs,ca Top Word Pairs in Tweet in G9:
[15] never,experienced [15] experienced,pain [15] pain,except [15] except,see [15] see,girls [15] girls,cry [15] cry,dad [15] dad,nbcaaron [15] nbcaaron,spoke [15] spoke,one Top Word Pairs in Tweet in G10:
[8] cdcgov,nindsdirector [8] covid,19 [8] cdcgov,cdcdirector [7] working,group [6] institute,medicine [5] aslavitt46,hope [5] hope,everyone [5] everyone,contracts [5] contracts,virus [5] virus,recovers Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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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:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: