The graph represents a network of 7,378 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, 08 October 2021 at 20:34 UTC.
The requested start date was Friday, 08 October 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, 4-hour, 25-minute period from Tuesday, 05 October 2021 at 19:34 UTC to Thursday, 07 October 2021 at 23:59 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 : 7378
Unique Edges : 9616
Edges With Duplicates : 18561
Total Edges : 28177
Number of Edge Types : 5
Retweet : 4094
MentionsInRetweet : 7971
Mentions : 13106
Replies to : 2922
Tweet : 84
Self-Loops : 167
Reciprocated Vertex Pair Ratio : 0.0182951080471961
Reciprocated Edge Ratio : 0.0359328212472334
Connected Components : 22
Single-Vertex Connected Components : 19
Maximum Vertices in a Connected Component : 7353
Maximum Edges in a Connected Component : 28160
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.821079
Graph Density : 0.000282246994745635
Modularity : 0.376371
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,378 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, 08 October 2021 at 20:34 UTC.
The requested start date was Friday, 08 October 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, 4-hour, 25-minute period from Tuesday, 05 October 2021 at 19:34 UTC to Thursday, 07 October 2021 at 23:59 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:
[754] against,#covid19 [710] fully,vaccinated [686] vaccinated,against [569] covid,19 [568] united,states [560] people,ages [548] 65,people [545] over,65 [544] ages,12 [543] 12,older Top Word Pairs in Tweet in G1:
[611] vaccinated,against [608] against,#covid19 [601] fully,vaccinated [504] united,states [497] people,ages [493] over,65 [491] 65,people [491] ages,12 [491] 12,older [491] older,united Top Word Pairs in Tweet in G2:
[268] cdcgov,us_fda [262] senronjohnson,potus [225] early,treatment [221] treatment,options [219] federal,health [219] health,agencies [219] agencies,failed [219] failed,robustly [219] robustly,explore [219] explore,research Top Word Pairs in Tweet in G3:
[173] denise_dewald,sure [142] airborne,transmission [140] public,service [138] service,videos [137] sure,cdcgov [137] cdcgov,producing [137] producing,public [137] videos,explaining [137] explaining,airborne [137] transmission,vaccines Top Word Pairs in Tweet in G4:
[205] cdcgov,cdcdirector [45] nih,cdcgov [43] cdcdirector,cdcgov [39] us_fda,nih [38] truth,question [38] question,everything [38] everything,us_fda [37] drjkahn,truth [37] corporalben,cdcgov [21] last,year Top Word Pairs in Tweet in G5:
[32] cdcgov,cdcmmwr [31] uksciencechief,devisridhar [31] devisridhar,jenny_society [31] jenny_society,independentsage [31] independentsage,drhilaryjones [31] drhilaryjones,sajidjavid [31] sajidjavid,cmo_england [31] cmo_england,nhsuk [26] covid,19 [26] nhsuk,zarahsultana Top Word Pairs in Tweet in G6:
[34] fully,vaccinated [27] covid,19 [24] vaccinated,against [24] against,#covid19 [21] over,65 [21] 65,people [21] people,ages [21] ages,12 [21] 12,older [21] older,united Top Word Pairs in Tweet in G7:
[28] cdcgov,us_fda [27] instead,citing [27] citing,scientific [27] scientific,studies [27] studies,justify [27] justify,mandates [27] mandates,vaccines [27] vaccines,medical [27] medical,rulers [27] rulers,cite Top Word Pairs in Tweet in G8:
[6] allieswelcome,cdcgov [6] cdcgov,dmnopinion [3] pfizer,whistleblower [3] whistleblower,leaks [3] leaks,execs [3] execs,emails [3] emails,exposing [3] exposing,suppression [3] investigation,multistate [3] multistate,outbreak Top Word Pairs in Tweet in G9:
[35] africacdc,krutikakuppalli [35] krutikakuppalli,uwsmph [35] uwsmph,uw_infdisease [35] uw_infdisease,cdcgov [35] cdcgov,globalgsts [34] idsainfo,africacdc [33] dssiraj,idsainfo [24] globalgsts,congratulations [22] vaccine,equity [21] honored,appointed Top Word Pairs in Tweet in G10:
[45] fdatobacco,cdcgov [19] nyts,data [17] loving,cdcgov [17] cdcgov,nyts [17] data,visualized [17] visualized,point [17] point,chart [17] chart,gateway [17] gateway,#vaping [17] #vaping,smoking Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: