The graph represents a network of 4,819 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 Wednesday, 27 May 2020 at 09:32 UTC.
The requested start date was Wednesday, 27 May 2020 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 2-day, 19-hour, 4-minute period from Sunday, 24 May 2020 at 04:48 UTC to Tuesday, 26 May 2020 at 23:52 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 : 4819
Unique Edges : 2530
Edges With Duplicates : 7240
Total Edges : 9770
Number of Edge Types : 5
Retweet : 3141
MentionsInRetweet : 3855
Tweet : 1451
Replies to : 361
Mentions : 962
Self-Loops : 1591
Reciprocated Vertex Pair Ratio : 0.00413479429398387
Reciprocated Edge Ratio : 0.0082355363393041
Connected Components : 894
Single-Vertex Connected Components : 523
Maximum Vertices in a Connected Component : 2612
Maximum Edges in a Connected Component : 5891
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 7.070505
Graph Density : 0.00020919166737517
Modularity : 0.518017
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 4,819 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 Wednesday, 27 May 2020 at 09:32 UTC.
The requested start date was Wednesday, 27 May 2020 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 2-day, 19-hour, 4-minute period from Sunday, 24 May 2020 at 04:48 UTC to Tuesday, 26 May 2020 at 23:52 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 : GraphServerTwitterSearch
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 G2:
[33] cause,#autism [33] claim,vaccines [33] cdc,under [30] under,fire [28] fire,vaccine [28] lawsuit,ican [27] sued,#cdc [25] vaccine,#autism [25] #autism,lawsuit [24] ican,icandecide Top Word Pairs in Tweet in G3:
[71] nueva,estimación [63] estimación,#cdc [62] #cdc,eeuu [62] eeuu,tasa [62] tasa,mortalidad [62] mortalidad,general [62] general,#covidー19 [61] #covidー19,26 [61] 26,estimación [61] omarbula,nueva Top Word Pairs in Tweet in G4:
[221] media,horowitz [221] horowitz,cdc [221] cdc,confirms [221] confirms,remarkably [221] remarkably,low [221] low,coronavirus [221] coronavirus,death [221] death,rate [221] rate,media [220] ksorbs,media Top Word Pairs in Tweet in G5:
[202] #politico,#huffpost [202] #foxnews,#nytimes [202] #huffpost,#drudge [202] #msnbc,#foxnews [202] #nytimes,#cnn [202] #wsj,#cnbc [202] #cnbc,#politico [202] #cnn,#wsj [202] #gop,#npr [201] #npr,#dailykos Top Word Pairs in Tweet in G6:
[34] #cdc,appena [33] appena,pubblicato [31] pubblicato,studio [30] studio,impone [28] impone,cessazione [28] cessazione,immediata [28] immediata,ogni [27] ogni,lockdown [22] lockdown,mortalita' [21] mortalita',effettiva Top Word Pairs in Tweet in G7:
[158] horowitz,cdc [158] cdc,confirms [158] confirms,remarkably [158] remarkably,low [158] low,coronavirus [158] coronavirus,death [158] death,rate [158] rate,media [158] media,conservative [158] conservative,review Top Word Pairs in Tweet in G8:
[73] cdcgov,ihme_uw [73] alexberenson,brithume [73] brithume,cdcgov [73] ihme_uw,seemed [73] seemed,more [73] more,competent [73] competent,movies [73] movies,seems [73] seems,trend [73] trend,huh Top Word Pairs in Tweet in G9:
[22] #fauci,#lupus [18] #lupus,#wuflu [18] #wuflu,died [18] died,#cdc [18] #cdc,#nih [18] #nih,prove [18] prove,disprove [18] disprove,prophylactic [18] prophylactic,effect [18] effect,#hcq Top Word Pairs in Tweet in G10:
[70] following,proper [70] proper,cdc [70] cdc,mask [70] mask,guidelines [70] #mcenany,peculiar [70] peculiar,#biden [70] #biden,following [70] guidelines,asked [70] asked,wear [70] wear,mask Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: