The graph represents a network of 8,349 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 Saturday, 07 August 2021 at 20:34 UTC.
The requested start date was Friday, 06 August 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, 2-hour, 6-minute period from Sunday, 01 August 2021 at 02:59 UTC to Tuesday, 03 August 2021 at 05:06 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 : 8349
Unique Edges : 12093
Edges With Duplicates : 17156
Total Edges : 29249
Number of Edge Types : 5
Replies to : 2626
Mentions : 10782
Retweet : 4736
MentionsInRetweet : 11071
Tweet : 34
Self-Loops : 111
Reciprocated Vertex Pair Ratio : 0.0102073707961749
Reciprocated Edge Ratio : 0.0202084662837694
Connected Components : 5
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 8345
Maximum Edges in a Connected Component : 29245
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.879981
Graph Density : 0.00026979465476012
Modularity : 0.453237
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 8,349 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 Saturday, 07 August 2021 at 20:34 UTC.
The requested start date was Friday, 06 August 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, 2-hour, 6-minute period from Sunday, 01 August 2021 at 02:59 UTC to Tuesday, 03 August 2021 at 05:06 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:
[990] covid,cases [987] florida,covid [980] data,dump [979] cases,hospitalizations [978] expect,large [978] large,data [978] dump,florida [978] hospitalizations,tragically [978] tragically,deaths [978] deaths,weekend Top Word Pairs in Tweet in G1:
[176] cdcgov,updated [164] fully,vaccinated [144] erictopol,cdcgov [133] favor,alguien [133] alguien,pásele [133] pásele,diagrama [133] diagrama,hlgatell [133] hlgatell,explíquele [133] explíquele,cosa [133] cosa,llama Top Word Pairs in Tweet in G2:
[205] cdcgov,cdcdirector [123] potus,cdcgov [97] cdcdirector,louisianagov [97] louisianagov,ladepthealth [97] ladepthealth,theadvocatebr [97] theadvocatebr,natlgovsassoc [97] natlgovsassoc,msnbc [97] msnbc,cnn [97] cnn,cbsnews [93] ltgrusselhonore,cdcgov Top Word Pairs in Tweet in G3:
[939] florida,covid [932] covid,cases [932] cases,hospitalizations [931] expect,large [931] large,data [931] data,dump [931] dump,florida [931] hospitalizations,tragically [931] tragically,deaths [931] deaths,weekend Top Word Pairs in Tweet in G4:
[338] cdcgov,us_fda [309] nih,cdcgov [303] senronjohnson,nih [121] us_fda,answer [115] answer,july [115] july,13 [115] 13,letter [65] adverse,reactions [63] drug,companies [62] us_fda,drug Top Word Pairs in Tweet in G5:
[195] expires,midnight [183] eviction,moratorium [173] tag,rep [173] house,reconvene [172] moratorium,expires [172] rep,house [170] midnight,movement [170] movement,growing [170] growing,tag [169] coribush,eviction Top Word Pairs in Tweet in G6:
[40] guidance,cdcgov [37] cdcgov,futuredocs [37] futuredocs,shikhajainmd [37] shikhajainmd,neenasabrahammd [37] neenasabrahammd,impact4hc [35] lots,understandable [35] understandable,concern [35] concern,data [35] data,spurred [35] spurred,masking Top Word Pairs in Tweet in G7:
[254] 12,17 [249] heart,inflammation [248] nearly,400 [248] 400,children [248] children,between [248] 17,diagnosed [248] diagnosed,heart [248] inflammation,receiving [248] receiving,pfizer's [248] pfizer's,#vaccine Top Word Pairs in Tweet in G8:
[185] cdcgov,cdcmmwr [72] delta,variant [62] cdcmmwr,finds [62] finds,delta [62] variant,causes [62] causes,vaccine [62] vaccine,breakthrough [62] breakthrough,infections [62] infections,jurisdictions [62] jurisdictions,consider Top Word Pairs in Tweet in G9:
[33] ameracadpeds,cdcgov [30] drfixus,csexton25 [29] csexton25,advising [29] advising,against [29] against,ameracadpeds [29] cdcgov,recommendations [29] recommendations,impose [29] impose,upon [29] upon,schools [29] ameracadpeds,guidance Top Word Pairs in Tweet in G10:
[24] alexberenson,cdcgov [19] protect,vulnerable [19] wow,thought [19] thought,deepfake [19] deepfake,nope [19] nope,old [19] old,science [19] science,fauci [19] fauci,cdcgov [19] cdcgov,thought Top Replied-To in Entire Graph:
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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: