The graph represents a network of 7,083 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, 11 March 2022 at 21:37 UTC.
The requested start date was Friday, 11 March 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 2-day, 6-hour, 28-minute period from Tuesday, 08 March 2022 at 18:31 UTC to Friday, 11 March 2022 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 : 7083
Unique Edges : 10841
Edges With Duplicates : 16752
Total Edges : 27593
Number of Edge Types : 5
Mentions : 11564
MentionsInRetweet : 9308
Retweet : 4001
Replies to : 2667
Tweet : 53
Self-Loops : 106
Reciprocated Vertex Pair Ratio : 0.0162726435369972
Reciprocated Edge Ratio : 0.03202416918429
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 7080
Maximum Edges in a Connected Component : 27589
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.766123
Graph Density : 0.000329932299486984
Modularity : 0.400969
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,083 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, 11 March 2022 at 21:37 UTC.
The requested start date was Friday, 11 March 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 2-day, 6-hour, 28-minute period from Tuesday, 08 March 2022 at 18:31 UTC to Friday, 11 March 2022 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:
[380] covid,19 [284] cdcgov,cdcdirector [277] cdcgov,cdcmmwr [233] #covid19,vaccines [227] cdcgov,us_fda [204] districts,universal [201] cdcgov,study [201] pfizer,cdcgov [200] requirements,23 [186] public,health Top Word Pairs in Tweet in G1:
[241] cdcgov,cdcmmwr [218] covid,19 [198] #covid19,vaccines [178] cdcgov,study [178] requirements,23 [174] districts,universal [167] 2021,districts [166] arkansas,during [163] aug,oct [163] oct,2021 Top Word Pairs in Tweet in G2:
[166] cdcgov,cdcdirector [126] cdcdirector,cdcgov [89] 60minutes,cdcgov [85] cdcdirector,60minutes [79] eradication,smallpox [79] smallpox,small [79] small,feat [79] feat,took [79] took,10 [79] 10,full Top Word Pairs in Tweet in G3:
[199] pfizer,cdcgov [158] cdcgov,us_fda [97] #vrbpac,us_fda [97] us_fda,kids [97] kids,injected [97] injected,something [97] something,pfizer [97] cdcgov,moderna [97] moderna,biontech [97] biontech,held Top Word Pairs in Tweet in G4:
[41] months,ago [40] erictopol,several [40] several,months [40] ago,crystal [40] crystal,clear [40] clear,evidence [40] evidence,boosters [40] boosters,needed [40] needed,scientists [40] scientists,us_fda Top Word Pairs in Tweet in G5:
[164] speakerpelosi,senschumer [143] gregggonsalves,speakerpelosi [106] senschumer,call [106] call,end [106] end,pandemic [106] pandemic,cdcgov [106] cdcgov,abandonment [57] senschumer,cdcgov [28] luckytran,cdcgov [28] cdcgov,dleonhardt Top Word Pairs in Tweet in G6:
[52] youth,smoking [51] grimmgreen,by_cjewett [37] by_cjewett,gregthr [37] gregthr,jmacnyc [33] jmacnyc,cdcgov [24] smoking,rate [23] shows,youth [22] public,health [22] latest,data [22] data,shows Top Word Pairs in Tweet in G7:
[49] surgeon,general [33] jreinermd,jaketapper [32] dr,joseph [32] joseph,ladapo [32] ladapo,announced [32] announced,office [32] office,recommend [32] recommend,against [32] against,#vaccines [29] media,jreinermd Top Word Pairs in Tweet in G8:
[51] something,unprecedented [51] unprecedented,executive [51] executive,leadership [51] leadership,state [51] state,work [51] work,hard [51] hard,defy [51] defy,cdcgov [50] peterhotez,something [40] cdcgov,us_fda Top Word Pairs in Tweet in G9:
[62] djokernole,bnpparibasopen [62] bnpparibasopen,miamiopen [52] miamiopen,cdcgov [40] flipblue2022,djokernole [33] cdcgov,cdcdirector [31] natural,immunity [23] seivwrighttrudy,cdcgov [23] acknowledge,efficacy [22] cdcdirector,acknowledge [22] efficacy,durability Top Word Pairs in Tweet in G10:
[30] dorry_segev,rrelyea [30] jsabatino37,jamie_weisman [30] jamie_weisman,benryanwriter [29] benryanwriter,katherinejwu [28] rrelyea,vivian_cheung2 [28] vivian_cheung2,jsabatino37 [28] katherinejwu,mattbc [26] nursejenspring,dorry_segev [26] mattbc,vinguptamd [25] single,community 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:
Top Replied-To in G5:
Top Replied-To in G6:
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:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: