The graph represents a network of 2,599 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, 14 June 2019 at 05:43 UTC.
The requested start date was Friday, 14 June 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, 5-hour, 40-minute period from Friday, 31 May 2019 at 00:18 UTC to Thursday, 13 June 2019 at 05:59 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 : 2599
Unique Edges : 2930
Edges With Duplicates : 1785
Total Edges : 4715
Number of Edge Types : 3
Tweet : 929
Mentions : 3636
Replies to : 150
Self-Loops : 929
Reciprocated Vertex Pair Ratio : 0.0198019801980198
Reciprocated Edge Ratio : 0.0388349514563107
Connected Components : 510
Single-Vertex Connected Components : 301
Maximum Vertices in a Connected Component : 799
Maximum Edges in a Connected Component : 2002
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.12615
Graph Density : 0.000427119923248742
Modularity : 0.613618
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[475] neverending,story [474] take,childlike [474] childlike,empress [474] empress,may's [474] may's,neverending [474] story,themed [474] themed,#characterdesignchallenge [474] #characterdesignchallenge,#cdc [473] dashiana,take [122] #cdc,#cdc7words Top Word Pairs in Tweet in G1:
[474] take,childlike [474] childlike,empress [474] empress,may's [474] may's,neverending [474] neverending,story [474] story,themed [474] themed,#characterdesignchallenge [474] #characterdesignchallenge,#cdc [473] dashiana,take [28] #cdchallenge,theme Top Word Pairs in Tweet in G2:
[122] #cdc,#cdc7words [122] #cdc7words,#bannedwords [122] #bannedwords,#orwell [122] #orwell,#doubleplusgoodspeak [122] #doubleplusgoodspeak,#maga [122] #maga,#trumphasdementia [85] à,à [38] based,#cdc [20] science,based [19] transgender,#cdc Top Word Pairs in Tweet in G3:
[19] over,300 [19] 300,#patients [19] #patients,write [19] write,letters [19] letters,support [19] support,northern [19] northern,#california [19] #california,#doctor [19] #doctor,lose [19] lose,license Top Word Pairs in Tweet in G4:
[13] exagtly,bobsnee [12] lilearthling369,milnem [12] milnem,teddyfreddy11 [12] teddyfreddy11,kidoctr [11] kidoctr,mcfunny [11] mcfunny,begarcia87 [10] krochetxkorner,laurast30381821 [10] just4thecause,plasticdoe [10] plasticdoe,michabird67 [10] stopvaxxedlies,kittyamnezia Top Word Pairs in Tweet in G5:
[58] due,window [58] window,snyder [58] snyder,apple [58] apple,implemented [58] implemented,new [58] new,techniques [58] techniques,rendered [58] rendered,iphones [58] iphones,impenetrable [58] impenetrable,police Top Word Pairs in Tweet in G6:
[93] lowest,birth [93] birth,rate [93] rate,1986 [93] 1986,anybody [93] anybody,recall [93] recall,happened [93] happened,1986 [93] 1986,#vaccines [93] #vaccines,front [93] front,mt Top Word Pairs in Tweet in G7:
[6] #cdc,#fda [5] u,s [5] #hiv,#hivaids [4] #niaid,chief [4] chief,anthony [4] anthony,fauci [4] fauci,help [4] help,yesterday [4] yesterday,quest [4] quest,end Top Word Pairs in Tweet in G8:
[25] lizmeactga,cdcgov [20] meflattened,cdcgov [20] cdcgov,nihdirector [20] today,sent [20] sent,cdcgov [20] cdcgov,letter [20] letter,demanding [20] demanding,change [20] change,structure [20] structure,future Top Word Pairs in Tweet in G9:
[5] sounds,though [5] though,#ama [5] #ama,working [5] working,closely [5] closely,#cdc [5] #cdc,revise [5] revise,retract [5] retract,many [5] many,guidelines [4] #opioids,#opioidhysteria Top Word Pairs in Tweet in G10:
[15] direttore,della [15] della,#cdc [15] #cdc,colui [15] colui,ke [15] ke,aveva [15] aveva,impedito [15] impedito,dr [15] dr,#thompson [15] #thompson,#vaxxed [15] #vaxxed,di 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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