The graph represents a network of 2,077 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 Saturday, 20 July 2019 at 05:42 UTC.
The requested start date was Friday, 19 July 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, 53-minute period from Friday, 05 July 2019 at 00:01 UTC to Thursday, 18 July 2019 at 23:55 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 : 2077
Unique Edges : 2131
Edges With Duplicates : 1641
Total Edges : 3772
Number of Edge Types : 3
Mentions : 2352
Replies to : 165
Tweet : 1255
Self-Loops : 1255
Reciprocated Vertex Pair Ratio : 0.0289778714436249
Reciprocated Edge Ratio : 0.0563236047107015
Connected Components : 581
Single-Vertex Connected Components : 350
Maximum Vertices in a Connected Component : 624
Maximum Edges in a Connected Component : 1218
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.616556
Graph Density : 0.000452937624018635
Modularity : 0.554645
NodeXL Version : 1.0.1.416
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[129] #cdc,#cdc7words [129] #cdc7words,#bannedwords [129] #bannedwords,#orwell [129] #orwell,#doubleplusgoodspeak [129] #doubleplusgoodspeak,#maga [129] #maga,#trumphasdementia [50] viraburnayeva,#cdc [50] #cdc,#cdc [47] livingsafely,#vaccinations [45] #vaccinations,need Top Word Pairs in Tweet in G1:
[20] #bitteam,#btt [19] #btt,#tokensale [19] #p2p,#exchange [19] #exchange,#marketplace [18] #tokensale,#p2p [18] #marketplace,#cdc [15] #cdc,#crypto [14] #crypto,#blockchain [13] #blockchain,#ico [13] à,#cdc Top Word Pairs in Tweet in G2:
[10] #cdc,guidelines [10] concerning,suboxone [10] suboxone,asst [10] asst,ag [10] ag,drug [10] drug,manufacturers [10] manufacturers,marketing [10] marketing,products [10] products,help [10] help,opioid Top Word Pairs in Tweet in G3:
[4] potus,flotus [3] #bigpharma,#corruption [3] gop,realdonaldtrump [3] realdonaldtrump,dear [3] dear,#trump [3] #trump,universal [3] universal,healthcare [3] healthcare,doesn [3] doesn,t [3] t,work Top Word Pairs in Tweet in G4:
[50] viraburnayeva,#cdc [22] viraburnayeva,dr [22] #didyouknow,50 [22] 50,granted [22] granted,#vaccine [22] #vaccine,patents [22] patents,#cdc [22] #cdc,listed [22] listed,assignee [20] viraburnayeva,#didyouknow Top Word Pairs in Tweet in G5:
[37] vaccine,injuries [37] injuries,more [37] more,doubled [37] doubled,2006 [37] 2006,2007 [35] 2007,two [35] two,age [35] age,brackets [35] brackets,targeted [35] targeted,#merck Top Word Pairs in Tweet in G6:
[50] #cdc,#cdc [43] salão,kadão [39] pau,quebra [38] brota,e [38] e,convoca [33] quebra,salão [30] é,hoje [26] kadão,brota [25] domingo,é [21] ptkzada,é Top Word Pairs in Tweet in G7:
[14] bulletin,#cdc [14] #cdc,media [14] media,saturation [14] saturation,department [14] department,cspan2 [14] cspan2,features [14] features,hour [14] hour,influential [14] influential,u [14] u,s Top Word Pairs in Tweet in G8:
[18] juntsxcat,#cdc [9] #cdc,esquerra_erc [8] d,juntsxcat [6] govern,vichy [5] krls,consellxrep [5] consellxrep,seguirà [5] seguirà,govern [5] vichy,d [5] #cdc,amb [5] amb,president Top Word Pairs in Tweet in G9:
[18] rephaleystevens,repjimbaird [18] repjimbaird,repsherrill [16] ucsusa,halpsci [15] repsherrill,repralphnorman [15] repralphnorman,ucsusa [13] halpsci,repebj [11] repebj,housescience [11] housescience,hksarctic [10] #fda,#cdc [10] #nih,#cdc Top Word Pairs in Tweet in G10:
[14] cdcenvironment,#cdc [13] #cdc,highlights [13] highlights,important [13] important,steps [13] steps,reduce [13] reduce,harm [13] harm,people [13] people,property [13] property,result [13] result,#floods Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: