The graph represents a network of 8,326 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, 03 September 2021 at 20:34 UTC.
The requested start date was Friday, 03 September 2021 at 09:25 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, 54-minute period from Wednesday, 01 September 2021 at 00:11 UTC to Friday, 03 September 2021 at 05:05 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 : 8326
Unique Edges : 12004
Edges With Duplicates : 17514
Total Edges : 29518
Number of Edge Types : 5
Retweet : 4300
MentionsInRetweet : 10224
Mentions : 12067
Replies to : 2873
Tweet : 54
Self-Loops : 116
Reciprocated Vertex Pair Ratio : 0.0163970507318147
Reciprocated Edge Ratio : 0.0322650498051104
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 8323
Maximum Edges in a Connected Component : 29515
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.694895
Graph Density : 0.000266497580934285
Modularity : 0.416179
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 8,326 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, 03 September 2021 at 20:34 UTC.
The requested start date was Friday, 03 September 2021 at 09:25 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, 54-minute period from Wednesday, 01 September 2021 at 00:11 UTC to Friday, 03 September 2021 at 05:05 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:
[1245] covid,19 [847] cdcgov,today [839] florida,reported [833] reported,338 [832] 338,deaths [832] 19,cdcgov [831] deaths,covid [729] highest,death [729] death,toll [728] today,highest Top Word Pairs in Tweet in G1:
[1104] covid,19 [840] cdcgov,today [832] florida,reported [827] reported,338 [826] 338,deaths [825] deaths,covid [825] 19,cdcgov [723] highest,death [723] death,toll [722] today,highest Top Word Pairs in Tweet in G2:
[261] cdcgov,cdcdirector [81] rochelle,walensky [79] cdc,director [77] cdcdirector,uh [77] uh,yeah [77] yeah,y'all [77] y'all,go [77] go,yourselves [77] yourselves,cdc [77] director,rochelle Top Word Pairs in Tweet in G3:
[20] superspreading,events [17] safe,effective [16] ameracadpeds,cdcgov [16] us_fda,determines [16] determines,drug [16] drug,vaccine [16] vaccine,safe [16] effective,acip [16] acip,cdcgov [16] cdcgov,recommend Top Word Pairs in Tweet in G4:
[116] cdcgov,cdcmmwr [74] themfingcoo,cdcgov [60] desertnomadnv,themfingcoo [45] cdcmmwr,finds [40] risk,myocarditis [36] finds,patients [36] patients,#covid19 [36] #covid19,nearly [36] nearly,16x [36] 16x,risk Top Word Pairs in Tweet in G5:
[135] theinsiderpaper,cdcgov [120] mikekowal9,theinsiderpaper [111] craziest,part [111] part,#nopawsleftbehind [111] #nopawsleftbehind,story [111] story,actually [111] actually,wait [111] wait,cdcgov [111] cdcgov,fault [110] almostjingo,craziest Top Word Pairs in Tweet in G6:
[76] rmconservative,randpaul [67] hi,rmconservative [67] randpaul,41 [67] 41,tweets [67] tweets,sent [67] sent,cdcgov [67] cdcgov,last [67] last,days [67] days,including [67] including,today Top Word Pairs in Tweet in G7:
[28] erictopol,cdcgov [28] cdcgov,ft [28] ft,nikasgari [26] lolalatigresa,erictopol [17] betsy_mccaughey,cdcgov [17] cdcgov,apparently [17] apparently,fighting [17] fighting,injustice [17] injustice,disease [17] disease,#cdc Top Word Pairs in Tweet in G8:
[10] covid,19 [9] novavax,cdcgov [6] public,health [6] cdcgov,cnnbrk [6] cnnbrk,bbcnews [6] bbcnews,washingtonpost [6] washingtonpost,newyorktimes_on [5] true,appears [5] appears,actually [5] actually,big Top Word Pairs in Tweet in G9:
[8] absurd_dad,dogsteach [8] dogsteach,dblduh [8] dblduh,sudodd921 [8] sudodd921,rajak101210 [8] rajak101210,smakhanian [8] smakhanian,pleightx [8] pleightx,hondoresists [8] ex,murderer [8] murderer,chief [8] chief,yale Top Word Pairs in Tweet in G10:
[4] cdcgov,phe_uk [4] phe_uk,govuk [4] inabster,us_fda [4] cdcgov,nsagov [4] nsagov,nhsuk [4] nhsuk,nature [4] nature,thelancet [3] cdube_sante,cdcgov [3] need,go [3] go,#nhs Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: