The graph represents a network of 18,421 Twitter users whose recent tweets contained "CDC", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 09 March 2020 at 21:31 UTC.
The tweets in the network were tweeted over the 1-hour, 17-minute period from Monday, 09 March 2020 at 17:19 UTC to Monday, 09 March 2020 at 18:36 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 : 18421
Unique Edges : 22906
Edges With Duplicates : 2542
Total Edges : 25448
Number of Edge Types : 5
Tweet : 1819
Replies to : 3539
Retweet : 12803
MentionsInRetweet : 3315
Mentions : 3972
Self-Loops : 1854
Reciprocated Vertex Pair Ratio : 0.00377205981409134
Reciprocated Edge Ratio : 0.00751576969534291
Connected Components : 1680
Single-Vertex Connected Components : 739
Maximum Vertices in a Connected Component : 14573
Maximum Edges in a Connected Component : 21527
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 4.626933
Graph Density : 6.58768750507272E-05
Modularity : 0.76795
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 18,421 Twitter users whose recent tweets contained "CDC", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 09 March 2020 at 21:31 UTC.
The tweets in the network were tweeted over the 1-hour, 17-minute period from Monday, 09 March 2020 at 17:19 UTC to Monday, 09 March 2020 at 18:36 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : CDC
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[4671] white,house [4456] cdc,making [4428] fly,white [4425] older,americans [4418] making,recommendation [4415] shouldn,fly [4414] cdc,concludes [4414] concludes,older [4414] americans,shouldn [4414] house,blocks Top Word Pairs in Tweet in G1:
[3798] white,house [3780] fly,white [3780] cdc,making [3780] making,recommendation [3777] shouldn,fly [3776] cdc,concludes [3776] concludes,older [3776] older,americans [3776] americans,shouldn [3776] house,blocks Top Word Pairs in Tweet in G2:
[226] expanded,criteria [187] covid,19 [146] underlying,health [135] loved,ones [133] immune,systems [132] serious,illness [131] health,conditions [130] people,age [130] age,immune [130] systems,change Top Word Pairs in Tweet in G3:
[1230] death,rate [1166] 10,million [1123] 45,million [1123] million,americans [585] each,year [584] cdc,between [584] million,45 [583] between,10 [583] americans,flu [583] flu,each Top Word Pairs in Tweet in G4:
[267] cause,autism [200] vaccines,cause [123] claim,vaccines [96] federal,court [89] #cdc,studies [84] autism,vaccines [83] studies,back [81] vaccine,autism [81] back,claim [80] cdc,under Top Word Pairs in Tweet in G5:
[73] covid,19 [25] stay,home [18] over,60 [18] coronavirus,testing [17] white,house [15] wash,hands [15] cdc,visit [14] cdc,guidelines [14] #coronavirus,#covid19 [14] testing,available Top Word Pairs in Tweet in G6:
[257] people,need [257] looking,cdc [257] cdc,guidance [256] stress,politicians [256] politicians,media [256] media,stop [256] stop,using [256] using,coronavirus [256] coronavirus,tool [256] tool,politicize Top Word Pairs in Tweet in G7:
[353] over,60 [193] stock,food [192] stay,home [191] cdc,americans [191] americans,over [191] 60,stock [191] food,medications [191] medications,stay [191] home,coronavirus [191] coronavirus,spreads Top Word Pairs in Tweet in G8:
[191] test,kits [158] coronavirus,test [155] company,coronavirus [155] kits,trump [155] trump,previously [155] previously,owned [155] owned,stock [155] explanation,refused [155] refused,kits [155] kits,feb Top Word Pairs in Tweet in G9:
[305] generally,care [305] care,much [305] much,trump's [305] trump's,work [305] work,ethic [305] ethic,golfing [305] golfing,addiction [305] addiction,seriously [305] seriously,man [305] man,virus Top Word Pairs in Tweet in G10:
[823] death,rate [819] 10,million [412] 45,million [411] million,americans [410] between,10 [410] million,45 [410] confirmed,cases [410] million,people [409] cdc,between [409] americans,flu 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: