The graph represents a network of 8,299 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, 07 August 2020 at 20:50 UTC.
The requested start date was Friday, 07 August 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, 8-hour, 1-minute period from Monday, 03 August 2020 at 22:36 UTC to Thursday, 06 August 2020 at 06:38 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 : 8299
Unique Edges : 13072
Edges With Duplicates : 18639
Total Edges : 31711
Number of Edge Types : 5
Retweet : 5021
MentionsInRetweet : 12720
Mentions : 11793
Replies to : 2105
Tweet : 72
Self-Loops : 157
Reciprocated Vertex Pair Ratio : 0.013876365093678
Reciprocated Edge Ratio : 0.0273728939176837
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 8298
Maximum Edges in a Connected Component : 31710
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.912724
Graph Density : 0.000293893414983978
Modularity : 0.460065
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 8,299 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, 07 August 2020 at 20:50 UTC.
The requested start date was Friday, 07 August 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, 8-hour, 1-minute period from Monday, 03 August 2020 at 22:36 UTC to Thursday, 06 August 2020 at 06:38 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:
[1709] dear,realdonaldtrump [1709] realdonaldtrump,pleased [1709] pleased,twitter [1709] twitter,preventing [1709] preventing,spreading [1709] spreading,harmful [1709] harmful,misinformation [1709] misinformation,virus [1708] tedlieu,dear [1708] virus,shoul Top Word Pairs in Tweet in G1:
[424] cdcgov,cdcdirector [265] wearing,mask [247] against,#covid19 [246] cdcdirector,masks [244] masks,one [244] one,powerful [244] powerful,weapons [243] fight,against [242] weapons,fight [242] #covid19,wearing Top Word Pairs in Tweet in G2:
[1698] dear,realdonaldtrump [1698] realdonaldtrump,pleased [1698] pleased,twitter [1698] twitter,preventing [1698] preventing,spreading [1698] spreading,harmful [1698] harmful,misinformation [1698] misinformation,virus [1697] tedlieu,dear [1697] virus,shoul Top Word Pairs in Tweet in G3:
[185] one,talking [184] talking,increase [184] increase,deaths [184] deaths,lack [184] lack,preventative [184] preventative,care [184] care,due [184] due,virus [184] virus,one [183] rupalichadhamd,one Top Word Pairs in Tweet in G4:
[64] wear,mask [51] contact,local [51] local,poison [51] poison,center [50] center,800 [50] 800,222 [50] 222,1222 [50] 1222,advice [50] swallowed,alcohol [50] alcohol,based Top Word Pairs in Tweet in G5:
[10] face,masks [7] cdcgov,cdcdirector [5] covid,19 [4] repression,continues [4] continues,#kazakhstan [4] #kazakhstan,civil [4] civil,activists [4] activists,detained [4] detained,#aktau [4] #aktau,many Top Word Pairs in Tweet in G6:
[11] mcculley,cdcgov [8] jamiet4123,govholcomb [8] govholcomb,indianapoliszoo [8] indianapoliszoo,youtube [8] youtube,cdcgov [7] davehershey,jamiet4123 [5] cdcgov,covid19tracking [5] covid19tracking,natesilver538 [4] over,two [4] two,weeks Top Word Pairs in Tweet in G7:
[3] cdcgov,cdcflu [2] shaziathussain1,mmamas1973 [2] mmamas1973,drandrewsharp [2] drandrewsharp,nolanjimradial [2] nolanjimradial,shrillab [2] shrillab,drasifqasim [2] drasifqasim,kamleshkhunti [2] kamleshkhunti,ktamirisamd [2] #kenya,recent [2] recent,vacs Top Word Pairs in Tweet in G8:
[67] açık,havada [65] georgia,yaz [65] yaz,okulunda [65] okulunda,bir [65] bir,pozitif [65] pozitif,çocuk [65] çocuk,diğer [65] diğer,çocukların [65] çocukların,yarısına [65] yarısına,virus Top Word Pairs in Tweet in G9:
[76] michstatepolice,cdcgov [75] michemhs,michstatepolice [74] migov,govwhitmer [74] govwhitmer,michiganhhs [62] michiganhhs,michemhs [17] migov,michiganhhs [15] bluedogbri,migov [15] michiganhhs,michstatepolice [14] michstatepolice,michemhs [14] michemhs,cdcgov Top Word Pairs in Tweet in G10:
[5] kaiser,cdcgov [5] truebennett,ladyag72 [5] ladyag72,rollinslynda [5] rollinslynda,mlvanbrit [5] mlvanbrit,louiseshoger [5] louiseshoger,ccontrarus [5] ccontrarus,puppyluvr312 [5] puppyluvr312,bostonbubbalooo [4] cdcgov,supportprop [4] shelley_bean60,truebennett 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: