The graph represents a network of 8,498 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, 18 September 2020 at 20:34 UTC.
The requested start date was Friday, 18 September 2020 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, 4-hour, 26-minute period from Tuesday, 15 September 2020 at 05:26 UTC to Thursday, 17 September 2020 at 09:52 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 : 8498
Unique Edges : 13553
Edges With Duplicates : 16379
Total Edges : 29932
Number of Edge Types : 5
Retweet : 4855
MentionsInRetweet : 12509
Replies to : 2450
Mentions : 10051
Tweet : 67
Self-Loops : 148
Reciprocated Vertex Pair Ratio : 0.00902509173856987
Reciprocated Edge Ratio : 0.0178887359937095
Connected Components : 4
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 8493
Maximum Edges in a Connected Component : 29926
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.660839
Graph Density : 0.000281798958684434
Modularity : 0.424638
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 8,498 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, 18 September 2020 at 20:34 UTC.
The requested start date was Friday, 18 September 2020 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, 4-hour, 26-minute period from Tuesday, 15 September 2020 at 05:26 UTC to Thursday, 17 September 2020 at 09:52 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:
[916] race,theory [911] critical,race [889] training,program [858] cdcgov,moving [857] moving,forward [852] forward,critical [824] bombshell,cdcgov [822] theory,training [821] realchrisrufo,bombshell [810] program,violation Top Word Pairs in Tweet in G1:
[882] race,theory [879] critical,race [845] cdcgov,moving [845] moving,forward [840] forward,critical [817] training,program [813] bombshell,cdcgov [811] theory,training [810] realchrisrufo,bombshell [803] program,violation Top Word Pairs in Tweet in G2:
[102] realdonaldtrump,cdcgov [91] loudobbs,gatewaypundit [83] cdcdirector,cdcgov [72] made,mistake [66] training,program [65] secazar,cdcgov [65] white,house [65] shut,down [62] think,made [62] mistake,realdonaldtrump Top Word Pairs in Tweet in G3:
[357] alexberenson,cdcgov [291] help,haven [291] haven,contagious [291] contagious,month [291] month,don [291] don,believe [291] believe,cdcgov [291] cdcgov,ask [291] ask,france [290] alexberenson,help Top Word Pairs in Tweet in G4:
[301] cdcdirector,cdcgov [192] dr,redfield [181] redfield,millions [181] millions,pakistan [181] pakistan,waiting [181] waiting,response [181] response,pl [181] pl,find [181] find,time [181] time,thanks Top Word Pairs in Tweet in G5:
[98] cdcgov,cdcmmwr [89] michael,caputo [75] caputo,apologized [75] apologized,false [75] false,accusations [75] accusations,including [75] including,lies [75] lies,cdcgov [75] cdcgov,resistance [75] resistance,unit Top Word Pairs in Tweet in G6:
[57] helenbranswell,cdcgov [43] cdcgov,director [30] director,robert [30] robert,redfield [28] senate,committee [28] olds,cdcgov [28] cdcgov,reports [28] reports,121 [28] 121,#covid19 [28] #covid19,deaths Top Word Pairs in Tweet in G7:
[96] screaming,please [96] please,please [96] please,cdcgov [96] cdcgov,site [96] site,first [96] first,google [96] google,covid [96] covid,symptoms [96] symptoms,list [95] kirstiemallsopp,screaming Top Word Pairs in Tweet in G8:
[92] mean,time [92] time,barackobama [92] barackobama,asked [92] asked,cdcgov [92] cdcgov,stop [92] stop,testing [92] testing,h1n1 [90] phukin,kiddin [90] kiddin,mean [89] mr_pharaohman,phukin Top Word Pairs in Tweet in G9:
[11] davidnabarro,mvankerkhove [11] mvankerkhove,helenclarknz [8] helenclarknz,imperial_ighi [8] imperial_ighi,cunysph [8] escribí,ccaes [8] ccaes,sep [8] sep,fernandosimon_ [8] fernandosimon_,sep [8] sep,ninguna [8] ninguna,respuesta Top Word Pairs in Tweet in G10:
[18] super,spreader [18] spreader,army [18] army,trumps [18] trumps,indoor [18] indoor,illegal [18] illegal,vegas [18] vegas,rally [18] rally,unwillingly [18] unwillingly,turns [18] turns,supporters Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: