The graph represents a network of 4,950 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, 11 January 2019 at 20:48 UTC.
The requested start date was Friday, 11 January 2019 at 01:01 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 8-day, 6-hour, 17-minute period from Wednesday, 02 January 2019 at 18:42 UTC to Friday, 11 January 2019 at 01:00 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 : 4950
Unique Edges : 9221
Edges With Duplicates : 15455
Total Edges : 24676
Number of Edge Types : 3
Mentions : 23416
Replies to : 1174
Tweet : 86
Self-Loops : 86
Reciprocated Vertex Pair Ratio : 0.0567865869070688
Reciprocated Edge Ratio : 0.107470302160568
Connected Components : 33
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 4912
Maximum Edges in a Connected Component : 24656
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.053544
Graph Density : 0.000512010384711941
Modularity : 0.385425
NodeXL Version : 1.0.1.407
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[240] cold,flu [240] nih,cdcgov [202] romaine,lettuce [198] flu,cdcgov [197] sure,cold [197] cdcgov,shows [197] shows,tell [197] tell,difference [196] meactnet,nih [193] difference,wednesdaywisdom Top Word Pairs in Tweet in G1:
[226] cold,flu [190] flu,cdcgov [189] sure,cold [189] cdcgov,shows [189] shows,tell [189] tell,difference [185] difference,wednesdaywisdom [182] hhsgov,sure [177] romaine,lettuce [145] 16,states Top Word Pairs in Tweet in G2:
[88] karijhat,rosesdaughter61 [76] ladyag72,jsg_54 [76] aunttritsy,soofriends [76] rachjr1,morse_tami [76] morse_tami,robertdrosejr1 [76] lindash84619011,veryfinewhine [76] veryfinewhine,alexandcohen [75] talkeetna101,wanita1 [74] soofriends,moogiemonsters [74] moogiemonsters,stillhopes4best Top Word Pairs in Tweet in G3:
[117] truthsearch1957,foreclosureoz [89] nadiaskin1,truthsearch1957 [83] laserhaas01,beyondthebantr [83] beyondthebantr,nadiaskin1 [80] stopfraud4,ourkidz3 [76] foreclosureoz,stopfraud4 [60] cdcgov,us_fda [57] adomantholdings,laserhaas01 [43] nra,cdcgov [40] musser_benson,adomantholdings Top Word Pairs in Tweet in G4:
[54] here,3 [54] 3,reasons [54] reasons,handwashing [54] handwashing,soap [54] soap,water [54] water,one [54] one,important [54] important,steps [54] steps,take [54] take,avoid Top Word Pairs in Tweet in G5:
[238] nih,cdcgov [195] meactnet,nih [117] µðÿ,µðÿ [107] turnitup4me,meactnet [79] christi194513,meactnet [54] u,r [43] study,patients [38] m,e [38] gabbyklein1,turnitup4me [32] rebshloima,christi194513 Top Word Pairs in Tweet in G6:
[49] indystar,foxindianapolis [48] vp,indiananews [48] indiananews,indystar [48] foxindianapolis,firstonfox [48] firstonfox,cdcemergency [48] cdcemergency,iheartradio [48] iheartradio,dalailama [48] dalailama,pontifex [48] pontifex,ewtnnewsnightly [48] ewtnnewsnightly,dod_ig Top Word Pairs in Tweet in G7:
[23] cdcgov,cdc_ehealth [22] danbidondi,cdcgov [14] public,health [12] free,ce [12] johansanchez150,danbidondi [11] amacadpeds,cdcgov [10] ce,mild [10] mild,traumatic [10] traumatic,brain [10] brain,injury Top Word Pairs in Tweet in G8:
[11] cdcgov,nih [6] ðÿ,ðÿ [5] thechildrenare1,purplesgem [5] purplesgem,cdcgov [5] domestic,violence [5] national,crisis [5] hi,repmarkgreen [5] repmarkgreen,see [5] see,youâ [5] youâ,re Top Word Pairs in Tweet in G9:
[35] viva__lala,andreaowoodruff [35] andreaowoodruff,t3tragrammat0n [32] boxmenot,viva__lala [32] t3tragrammat0n,alc_anthro [32] alc_anthro,weaponizedword1 [32] mcfunny,plasticdoe [32] plasticdoe,tprmaynard7 [32] emmagpaley,just4thecause [32] just4thecause,docmelliott [32] docmelliott,asiamoonbloom Top Word Pairs in Tweet in G10:
[7] enjoy,free [7] free,high [7] high,yield [7] yield,paediatric [7] paediatric,infectiousdiseases [7] infectiousdiseases,lectures [7] lectures,espid_society [7] espid_society,topics [7] topics,include [7] include,neonatal 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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