The graph represents a network of 7,243 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 March 2021 at 20:35 UTC.
The requested start date was Friday, 26 March 2021 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, 7-hour, 0-minute period from Tuesday, 23 March 2021 at 17:00 UTC to Friday, 26 March 2021 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 : 7243
Unique Edges : 8990
Edges With Duplicates : 16369
Total Edges : 25359
Number of Edge Types : 5
Retweet : 3832
Mentions : 11377
Replies to : 2928
MentionsInRetweet : 7147
Tweet : 75
Self-Loops : 150
Reciprocated Vertex Pair Ratio : 0.019105514546244
Reciprocated Edge Ratio : 0.0374946740519813
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 7242
Maximum Edges in a Connected Component : 25358
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.752667
Graph Density : 0.000268464789761872
Modularity : 0.392905
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 7,243 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 March 2021 at 20:35 UTC.
The requested start date was Friday, 26 March 2021 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, 7-hour, 0-minute period from Tuesday, 23 March 2021 at 17:00 UTC to Friday, 26 March 2021 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:
[1170] covid,19 [485] help,stop [398] cdcgov,#vaxfact [373] #covid19,vaccine [371] day,average [369] average,cases [349] march,23 [347] cases,day [346] 23,day [346] day,56 Top Word Pairs in Tweet in G1:
[782] covid,19 [431] help,stop [341] cdcgov,#vaxfact [305] #covid19,vaccine [299] average,cases [299] day,average [298] 56,225 [297] march,23 [297] 23,day [297] cases,day Top Word Pairs in Tweet in G2:
[91] covid,19 [77] cdcdirector,cdcgov [64] help,help [58] cdcgov,cdcdirector [58] potus,flotus [40] cdcgov,hhsgov [39] flotus,vp [39] partners,families [38] #covid19,vaccines [38] more,13 Top Word Pairs in Tweet in G3:
[86] cdcgov,cdcdirector [40] cdcdirector,cdcgov [36] jamesvanfleet,cdcgov [35] bella_davis,fancybrownsugar [35] fancybrownsugar,jamerican206 [35] jamerican206,cdcgov [35] cdcgov,amoebasisters [32] digik9,cdcgov [30] evamyrth,digik9 [24] covid,19 Top Word Pairs in Tweet in G4:
[185] azdhs,cdcgov [166] supt_hoffman,azdhs [112] azdhs,emergency [112] emergency,measure [112] measure,2020 [112] 2020,04 [112] 04,still [112] still,effect [112] effect,requiring [112] requiring,masks Top Word Pairs in Tweet in G5:
[52] covid,19 [28] school,reopening [26] educators,school [26] school,staff [26] staff,childcare [26] childcare,workers [26] cdcgov,800 [26] 800,quit [26] quit,evidence [26] evidence,based Top Word Pairs in Tweet in G6:
[25] iamgoingtosleep,danaparish [25] akm5376,sherridouville [25] sherridouville,jessica_bassett [20] jessica_bassett,gosiagasperophd [19] danaparish,drkatrin_rabiei [19] drkatrin_rabiei,akm5376 [16] jljcolorado,usaid [16] usaid,knows [16] knows,#covidisairborne [16] #covidisairborne,compare Top Word Pairs in Tweet in G7:
[26] covid,19 [19] fema,cdcgov [15] repmaxinewaters,fema [15] cdcgov,hudgov [15] hudgov,usichgov [15] usichgov,thejusticedept [14] getting,vaccine [14] vaccine,help [14] help,prevent [14] prevent,risk Top Word Pairs in Tweet in G8:
[33] covid,19 [18] healthcare,provider [17] use,treatments [17] treatments,#covid19 [17] #covid19,prescribed [17] prescribed,healthcare [17] provider,people [17] people,seriously [17] seriously,harmed [16] cdcemergency,use Top Word Pairs in Tweet in G9:
[45] notably,providers [45] providers,observed [45] observed,long [45] long,covid [45] covid,appears [45] appears,similar [45] similar,another [45] another,condition [44] condition,myalgic [33] myalgic,encephalomyelitis Top Word Pairs in Tweet in G10:
[56] govlarryhogan,cdcgov [44] bsamuels72,msnbc [44] msnbc,indivisiblemd [44] indivisiblemd,maddow [44] maddow,cdcgov [44] cdcgov,govlarryhogan [36] age,65 [36] covid,19 [34] according,cdcgov [34] cdcgov,70 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:
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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:
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Top Mentioned in G5:
Top Mentioned in G6:
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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:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: