The graph represents a network of 2,722 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, 26 April 2019 at 05:45 UTC.
The requested start date was Friday, 26 April 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 8-day, 18-hour, 42-minute period from Wednesday, 17 April 2019 at 05:14 UTC to Thursday, 25 April 2019 at 23:57 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 : 2722
Unique Edges : 4034
Edges With Duplicates : 3291
Total Edges : 7325
Number of Edge Types : 3
Mentions : 6023
Tweet : 1110
Replies to : 192
Self-Loops : 1110
Reciprocated Vertex Pair Ratio : 0.0463607975018016
Reciprocated Edge Ratio : 0.088613406795225
Connected Components : 557
Single-Vertex Connected Components : 353
Maximum Vertices in a Connected Component : 969
Maximum Edges in a Connected Component : 3252
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.475588
Graph Density : 0.000588127122948542
Modularity : 0.528604
NodeXL Version : 1.0.1.411
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[964] #donate4bokkos,#urbansocialhub [720] #urbansocialhub,#cdc [695] #donate4bokkos,#donate4bokkos [387] #donate4bokkos,#cdc [353] plateau,state [305] #cdc,#urbansocialhub [231] angwan,kwano [210] #urbansocialhub,#donate4bokkos [171] kwano,bokkos [170] disaster,happened Top Word Pairs in Tweet in G1:
[964] #donate4bokkos,#urbansocialhub [720] #urbansocialhub,#cdc [695] #donate4bokkos,#donate4bokkos [387] #donate4bokkos,#cdc [353] plateau,state [305] #cdc,#urbansocialhub [231] angwan,kwano [210] #urbansocialhub,#donate4bokkos [171] kwano,bokkos [170] disaster,happened Top Word Pairs in Tweet in G2:
[98] matter,public [98] public,record [49] #vaccine,injury [49] injury,cases [49] cases,matter [49] record,lawsuits [49] lawsuits,matter [49] record,unless [48] #cdc,lies [48] rectitude20,#vaccine Top Word Pairs in Tweet in G3:
[20] #clubedochrrasqueirooficial,#cdc [20] #cdc,#sabor [20] #sabor,#arte [19] #arte,#picanha [17] #picanha,#espetinho [13] measles,outbreak [13] #espetinho,#segunda [12] u,s [12] measles,cases [12] #direitodotrabalho,#processodotrabalho Top Word Pairs in Tweet in G4:
[79] #cdc,#opioid [79] #opioid,guideline [40] painnewsnetwork,#cdc [40] guideline,endorse [40] endorse,rapid [40] rapid,#tapering [40] #tapering,sudden [40] sudden,discontinuation [40] discontinuation,90 [40] 90,mme Top Word Pairs in Tweet in G5:
[5] #intractablepain,#cdc [4] tapering,always [4] always,part [4] part,subject [4] subject,want [4] want,tools [4] tools,meds [4] meds,back [4] back,gave [4] gave,functionality Top Word Pairs in Tweet in G6:
[10] #monsanto,#bayer [8] #fda,#usda [7] #epa,#fda [7] #usda,#cdc [7] gave,#florida [7] #florida,4 [6] #bigpharma,#weapons [6] #weapons,#monsanto [6] #cdc,gave [5] #bayer,#epa Top Word Pairs in Tweet in G7:
[12] #nih,#cdc [11] don,t [9] #cdc,#donaldtrump [9] #donaldtrump,don [9] t,understand [9] understand,disease [9] disease,worse [9] worse,aids [9] aids,isn [9] isn,t Top Word Pairs in Tweet in G8:
[54] cdc,admits [54] admits,measles [54] measles,outbreak [54] outbreak,caused [54] caused,people [54] people,countries [54] countries,enter [54] enter,united [54] united,states [54] states,spread Top Word Pairs in Tweet in G9:
[27] hhs_ash,admiral [27] admiral,brett [27] brett,giroir [9] #cdc,#nih [8] asked,#cdc [8] #cdc,copy [8] copy,cdcdirector's [8] cdcdirector's,slides [8] slides,presentation [8] presentation,gave Top Word Pairs in Tweet in G10:
[4] davidgr1714,lluisgibert [3] juntsxcat,esquerra_erc [3] lluisgibert,clar [3] clar,oi [3] oi,defensor [3] defensor,dictadura [3] dictadura,d [3] d,juntsxcat [3] juntsxcat,també [3] també,creu 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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