The graph represents a network of 3,971 Twitter users whose tweets in the requested range contained "#CDC", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 04 October 2019 at 11:41 UTC.
The requested start date was Wednesday, 02 October 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 13-day, 23-hour, 59-minute period from Wednesday, 18 September 2019 at 00:01 UTC to Wednesday, 02 October 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 : 3971
Unique Edges : 5013
Edges With Duplicates : 2395
Total Edges : 7408
Number of Edge Types : 3
Mentions : 5498
Tweet : 1661
Replies to : 249
Self-Loops : 1661
Reciprocated Vertex Pair Ratio : 0.0159983378350301
Reciprocated Edge Ratio : 0.0314928425357873
Connected Components : 782
Single-Vertex Connected Components : 473
Maximum Vertices in a Connected Component : 1464
Maximum Edges in a Connected Component : 3148
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.148653
Graph Density : 0.000310183338016742
Modularity : 0.65131
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[254] #fda,#cdc [170] iatrogenic,disease [169] #bigpharma,#fda [162] #cdc,iatrogenic [148] toxic,failed [145] cosas,claras [145] claras,congresoperu [145] congresoperu,aprobó [145] aprobó,#cdc [145] #cdc,antes Top Word Pairs in Tweet in G1:
[32] don,t [31] t,work [29] claimed,#cdc [29] #cdc,guideline [29] guideline,#opioid [29] #opioid,pain [29] pain,relievers [29] relievers,don [29] work,long [29] long,term Top Word Pairs in Tweet in G2:
[19] vaping,related [17] food,safety [15] e,cigarette [15] #cdc,#fda [14] #news,#cdc [13] u,s [13] #cdc,#centersfordiseasecontrolandprevention [12] flu,season [12] #ligaproec,#estoesfútbol [12] new,food Top Word Pairs in Tweet in G3:
[76] #didyouknow,50 [76] 50,granted [76] granted,#vaccine [76] #vaccine,patents [76] patents,#cdc [76] #cdc,listed [76] listed,assignee [72] viraburnayeva,#didyouknow [71] viraburnayeva,#cdc [55] viraburnayeva,dr Top Word Pairs in Tweet in G4:
[68] #cdc,#msm [56] serious,discussion [56] discussion,subject [56] subject,#vaccines [56] #vaccines,mainstream [56] mainstream,media [56] media,exist [56] exist,#flushot [56] #flushot,#cdc [55] jeremyrhammond,serious Top Word Pairs in Tweet in G5:
[145] cosas,claras [145] claras,congresoperu [145] congresoperu,aprobó [145] aprobó,#cdc [145] #cdc,antes [145] antes,mensaje [145] mensaje,martinvizcarrac [145] martinvizcarrac,había [145] había,sustento [143] carloslinaresh,cosas Top Word Pairs in Tweet in G6:
[138] dit,celui [138] celui,qui [138] qui,construit [138] construit,autoroutes [138] autoroutes,#gco [138] #gco,strasbourg [138] strasbourg,rouen [138] rouen,toulouse [138] toulouse,castres [138] castres,soutient Top Word Pairs in Tweet in G7:
[29] come,out [28] #cdc,12 [28] 12,000 [28] 000,employees [28] employees,really [28] really,think [28] think,stupid [28] stupid,incompetent [28] incompetent,understand [28] understand,incontrovertible Top Word Pairs in Tweet in G8:
[168] #fda,#cdc [167] iatrogenic,disease [165] #bigpharma,#fda [159] #cdc,iatrogenic [145] toxic,failed [139] failed,vaccines [106] vaccines,drugs [101] disease,industry [82] industry,toxic [78] drugs,cradle Top Word Pairs in Tweet in G9:
[35] #aboriginalpeakorgs,condemn [35] condemn,#cashlesscards [35] #cashlesscards,#laborpushes [35] #laborpushes,#voluntaryscheme [35] #voluntaryscheme,#independentinquiry [35] #independentinquiry,effectiveness [34] wgarnews,#aboriginalpeakorgs [34] effectiveness,#c [30] 6f6e5ba6bdc34ae,robrobbedwards [30] robrobbedwards,blakandblack Top Word Pairs in Tweet in G10:
[81] #rdc,27 [81] 27,09 [81] 09,19 [81] 19,après [81] après,#newyork [81] #newyork,chef [81] chef,l [81] l,état [81] état,est [81] est,arrivé 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: