The graph represents a network of 4,857 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, 19 July 2019 at 03:46 UTC.
The requested start date was Friday, 19 July 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 10-hour, 48-minute period from Saturday, 13 July 2019 at 19:08 UTC to Thursday, 18 July 2019 at 05:57 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 : 4857
Unique Edges : 8416
Edges With Duplicates : 13600
Total Edges : 22016
Number of Edge Types : 3
Mentions : 20611
Replies to : 1326
Tweet : 79
Self-Loops : 79
Reciprocated Vertex Pair Ratio : 0.0262118145899586
Reciprocated Edge Ratio : 0.0510846088834632
Connected Components : 17
Single-Vertex Connected Components : 13
Maximum Vertices in a Connected Component : 4838
Maximum Edges in a Connected Component : 21997
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.992343
Graph Density : 0.000451504460858985
Modularity : 0.352488
NodeXL Version : 1.0.1.416
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[216] 19,6 [198] overdose,deaths [171] danlairdmd,cdcgov [163] nytimes,cchr [163] rutherford_inst,sibeledmonds [163] sibeledmonds,wexwatchdog [163] wexwatchdog,aclu [152] cdcgov,guidelines [137] ground,bison [131] new,cdcgov Top Word Pairs in Tweet in G1:
[204] 19,6 [124] ground,bison [121] overdose,deaths [113] new,cdcgov [110] uv,rays [110] damage,skin [110] skin,little [110] little,15 [109] sun,s [109] rays,damage Top Word Pairs in Tweet in G2:
[168] danlairdmd,cdcgov [150] cdcgov,guidelines [111] supportprop,cdcgov [87] danlairdmd,supportprop [86] moral,responsibility [85] responsibility,mess [85] mess,lies [85] lies,w [85] w,authors [85] authors,cdcgov Top Word Pairs in Tweet in G3:
[163] nytimes,cchr [163] rutherford_inst,sibeledmonds [163] sibeledmonds,wexwatchdog [163] wexwatchdog,aclu [128] aclu,govacctproj [128] govacctproj,us_osc [127] thejusticedept,fbi [110] johnalexwood,nytimes [103] cchr,rutherford_inst [95] martinheinrich,replujangrisham Top Word Pairs in Tweet in G4:
[40] #health,safety [37] event,large [37] large,scale [37] scale,widespread [37] widespread,#disaster [37] #disaster,#hurricane [37] #hurricane,threat [37] threat,#health [36] cdcemergency,event [36] floodwater,storms Top Word Pairs in Tweet in G5:
[17] public,health [15] health,emergency [13] week,training [13] emergency,operations [13] operations,management [13] cdcgov,usaid [13] usambdrc,theofda [12] lagos,week [12] training,public [12] operations,centre Top Word Pairs in Tweet in G6:
[16] twelve,patients [16] patients,diagnosed [16] diagnosed,verona [16] verona,integron [16] integron,encoded [16] encoded,metallo [16] metallo,β [16] β,lactamase [16] lactamase,producing [16] producing,carbapenem Top Word Pairs in Tweet in G7:
[84] bbchealth,usda [84] usda,us_fda [84] us_fda,cdcgov [82] vaccineuk,bbchealth [52] mrlepus,vaccineuk [43] chronic_flkeys,mrlepus [40] h3atheroo,chronic_flkeys [34] gnobreakthrough,h3atheroo [26] gnobreakthrough,vaccineuk [24] mrlepus,gnobreakthrough Top Word Pairs in Tweet in G8:
[34] charging,royalties [17] cdc,owns [17] owns,patents [17] patents,prep [17] prep,charging [17] royalties,gilead [17] gilead,sales [17] sales,cdc [17] cdc,charging [16] reprokhanna,cdc Top Word Pairs in Tweet in G9:
[56] hiv,diagnoses [55] #hivpreventionday,remember [55] remember,number [55] number,new [55] new,hiv [55] diagnoses,hasn [55] hasn,t [55] 2013,even [55] even,though [40] t,dropped Top Word Pairs in Tweet in G10:
[21] nra,cdcgov [13] gunowners,cdcgov [11] kingcoleny,nra [10] cdcgov,nihdirector [9] meflattened,cdcgov [6] mark_melbin,nra [5] ssbblake,kingcoleny [5] kingcoleny,gunowners [5] ssbblake,phil_luttazi [5] phil_luttazi,gunowners Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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