The graph represents a network of 3,885 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 Wednesday, 02 October 2019 at 11:40 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, 18-hour, 29-minute period from Wednesday, 18 September 2019 at 00:01 UTC to Tuesday, 01 October 2019 at 18:30 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 : 3885
Unique Edges : 4903
Edges With Duplicates : 2338
Total Edges : 7241
Number of Edge Types : 3
Mentions : 5393
Tweet : 1608
Replies to : 240
Self-Loops : 1608
Reciprocated Vertex Pair Ratio : 0.016348195329087
Reciprocated Edge Ratio : 0.0321704616670148
Connected Components : 770
Single-Vertex Connected Components : 466
Maximum Vertices in a Connected Component : 1406
Maximum Edges in a Connected Component : 3043
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.010864
Graph Density : 0.000317243829087289
Modularity : 0.652345
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[247] #fda,#cdc [170] iatrogenic,disease [169] #bigpharma,#fda [162] #cdc,iatrogenic [148] toxic,failed [144] cosas,claras [144] claras,congresoperu [144] congresoperu,aprobó [144] aprobó,#cdc [144] #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:
[17] vaping,related [17] food,safety [14] e,cigarette [14] #cdc,#fda [14] #news,#cdc [13] u,s [12] #ligaproec,#estoesfútbol [12] new,food [12] safety,update [12] update,#cdc 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,#cdc [72] viraburnayeva,#didyouknow [49] 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:
[144] cosas,claras [144] claras,congresoperu [144] congresoperu,aprobó [144] aprobó,#cdc [144] #cdc,antes [144] antes,mensaje [144] mensaje,martinvizcarrac [144] martinvizcarrac,había [144] había,sustento [142] 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:
[43] #vapor,#vape [43] #fda,#eliquid [40] #vape,#vapepics [40] #vapepics,#fda [40] #eliquid,#eliquids [40] #eliquids,#cdc [40] #cdc,#ecigs [39] #ecigs,#vapeworld [39] #vapeworld,#ecigarette [36] #vapeban,#prohibitiondoesnotwork Top Word Pairs in Tweet in G8:
[169] #fda,#cdc [168] iatrogenic,disease [166] #bigpharma,#fda [160] #cdc,iatrogenic [146] toxic,failed [140] 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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