The graph represents a network of 4,951 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, 20 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 3-day, 19-hour, 30-minute period from Monday, 15 July 2019 at 04:29 UTC to Friday, 19 July 2019 at 00:00 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 : 4951
Unique Edges : 8061
Edges With Duplicates : 12096
Total Edges : 20157
Number of Edge Types : 3
Mentions : 18835
Replies to : 1234
Tweet : 88
Self-Loops : 88
Reciprocated Vertex Pair Ratio : 0.0248504846360074
Reciprocated Edge Ratio : 0.0484958245296307
Connected Components : 18
Single-Vertex Connected Components : 15
Maximum Vertices in a Connected Component : 4932
Maximum Edges in a Connected Component : 20138
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.961013
Graph Density : 0.000405550149036313
Modularity : 0.352942
NodeXL Version : 1.0.1.416
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[245] overdose,deaths [240] 19,6 [196] nytimes,cchr [196] rutherford_inst,sibeledmonds [196] sibeledmonds,wexwatchdog [196] wexwatchdog,aclu [191] ground,bison [158] aclu,govacctproj [158] govacctproj,us_osc [141] danlairdmd,cdcgov Top Word Pairs in Tweet in G1:
[158] ground,bison [113] uv,rays [113] damage,skin [113] skin,little [113] little,15 [112] summer,sun [112] rays,damage [112] 15,minutes [111] burned,summer [111] sun,s Top Word Pairs in Tweet in G2:
[59] cdcgov,cdcdirector [50] cdcgov,hhsgov [44] idsainfo,us_fda [44] us_fda,60minutes [44] 60minutes,cdcgov [44] cdcgov,lewsview [43] danlairdmd,cdcgov [43] krisnewby,idsainfo [43] number,new [42] danaparish,krisnewby Top Word Pairs in Tweet in G3:
[232] 19,6 [129] overdose,deaths [119] new,cdcgov [116] cdcgov,report [116] report,posted [116] posted,ohio [116] ohio,state [116] state,saw [116] saw,22 [116] 22,4 Top Word Pairs in Tweet in G4:
[98] danlairdmd,cdcgov [79] cdcgov,guidelines [76] moral,responsibility [75] responsibility,mess [75] mess,lies [75] lies,w [75] w,authors [75] authors,cdcgov [75] guidelines,anti [75] anti,opiate Top Word Pairs in Tweet in G5:
[35] public,health [31] health,emergency [20] #ebola,outbreak [18] cdc,s [18] cdcgov,usaid [15] senatorisakson,cdcgov [14] week,training [14] emergency,operations [14] operations,management [13] emergency,international Top Word Pairs in Tweet in G6:
[32] pm,et [31] 1,pm [29] cdcgov,epic [28] cdcemergency,#dyk [24] stay,safe [24] storm,3 [24] 3,types [24] types,post [24] post,disaster [24] disaster,poisonings Top Word Pairs in Tweet in G7:
[196] nytimes,cchr [196] rutherford_inst,sibeledmonds [196] sibeledmonds,wexwatchdog [196] wexwatchdog,aclu [158] aclu,govacctproj [158] govacctproj,us_osc [137] cchr,rutherford_inst [131] thejusticedept,fbi [131] johnalexwood,nytimes [114] us_osc,pogoblog Top Word Pairs in Tweet in G8:
[13] gunowners,cdcgov [9] nra,cdcgov [5] age,#genomics [5] #genomics,#bigdata [5] #bigdata,more [5] more,extensive [5] extensive,information [5] information,place [5] place,person [5] person,time Top Word Pairs in Tweet in G9:
[5] recognize,davie [5] davie,rickenbacker [5] rickenbacker,contestant [5] contestant,cbs' [5] cbs',hit [5] hit,reality [5] reality,tv [5] tv,series [5] series,#survivor [5] #survivor,july Top Word Pairs in Tweet in G10:
[66] hiv,diagnoses [64] #hivpreventionday,remember [64] remember,number [64] number,new [64] new,hiv [64] diagnoses,hasn [64] hasn,t [64] 2013,even [64] even,though [48] t,dropped 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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Top Tweeters in G10: