The graph represents a network of 2,885 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 Friday, 17 May 2019 at 05:43 UTC.
The requested start date was Friday, 17 May 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, 44-minute period from Friday, 03 May 2019 at 00:04 UTC to Thursday, 16 May 2019 at 23:48 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 : 2885
Unique Edges : 3203
Edges With Duplicates : 2363
Total Edges : 5566
Number of Edge Types : 3
Tweet : 1674
Mentions : 3696
Replies to : 196
Self-Loops : 1674
Reciprocated Vertex Pair Ratio : 0.0157877057440376
Reciprocated Edge Ratio : 0.0310846560846561
Connected Components : 697
Single-Vertex Connected Components : 428
Maximum Vertices in a Connected Component : 1204
Maximum Edges in a Connected Component : 2798
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.185817
Graph Density : 0.000363446686072925
Modularity : 0.55041
NodeXL Version : 1.0.1.412
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[307] #america,#latam [307] #latam,#europe [307] #europe,#asia [305] #asia,#africa [295] #africa,#russia [279] #russia,#eu [190] #eu,#netherlands [159] #netherlands,#cdc [147] #cdc,#cdc7words [147] #cdc7words,#bannedwords Top Word Pairs in Tweet in G1:
[37] #clubedochrrasqueirooficial,#cdc [36] #cdc,#sabor [34] #bitteam,#btt [34] #btt,#tokensale [34] #p2p,#exchange [34] #marketplace,#cdc [34] #sabor,#arte [34] #arte,#picanha [32] #tokensale,#p2p [32] #exchange,#marketplace Top Word Pairs in Tweet in G2:
[59] #didyouknow,50 [59] 50,granted [59] granted,#vaccine [59] #vaccine,patents [59] patents,#cdc [59] #cdc,listed [59] listed,assignee [59] trust,#epa [59] #epa,#glyphosate [59] #glyphosate,safe Top Word Pairs in Tweet in G3:
[13] check,out [13] out,george [13] george,knapp [13] knapp,g_knapp [13] g_knapp,https [13] https,t [13] t,co [13] co,vryjfb6pgy [13] vryjfb6pgy,article [13] article,author Top Word Pairs in Tweet in G4:
[11] #polio,#vaccine [10] re,#sv40 [9] rfk,jr [7] #cdc,lied [7] lied,re [7] #sv40,contaminated [7] mclellandshena,plasticdoe [7] plasticdoe,chris_darnielle [7] kidoctr,countburna [7] mcfunny,doritmi Top Word Pairs in Tweet in G5:
[112] drug,resistant [110] sen,schumer [110] schumer,urges [110] urges,#cdc [110] #cdc,declare [110] declare,emergency [110] emergency,drug [110] resistant,fungus [110] fungus,continues [110] continues,spread Top Word Pairs in Tweet in G6:
[15] #opioid,guideline [12] #cdc,s [10] #pnn,guest [10] guest,columnist [10] columnist,marvin [10] marvin,ross [10] ross,wonders [10] wonders,canadian [10] canadian,health [10] health,authorities Top Word Pairs in Tweet in G7:
[39] #cdc,documenta [39] documenta,l'elenco [39] l'elenco,di [39] di,tutti [39] tutti,gli [39] gli,eccipienti [39] eccipienti,vaccinali [39] vaccinali,tra [39] tra,cui [39] cui,cellule Top Word Pairs in Tweet in G8:
[13] latest,pandemic [13] pandemic,news [13] news,thanks [11] 2019,meassociation [11] meassociation,#ms [8] #ms,#cfs [8] #cfs,#als [7] #als,#me [7] #me,#cdc [7] #cdc,#pplvscdc Top Word Pairs in Tweet in G9:
[12] #nih,#cdc [9] treatment,developed [9] developed,result [9] result,investments [9] investments,made [9] made,american [9] american,taxpayers [9] taxpayers,through [9] through,#nih [8] oversightdems,treatment Top Word Pairs in Tweet in G10:
[15] read,tweet [15] tweet,recently [15] recently,another [15] another,veteran [15] veteran,suicide [15] suicide,related [15] related,va [15] va,forced [15] forced,tapering [15] tapering,opioids 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: