The graph represents a network of 5,184 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, 06 May 2020 at 09:32 UTC.
The requested start date was Wednesday, 06 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 3-day, 21-hour, 43-minute period from Saturday, 02 May 2020 at 02:14 UTC to Tuesday, 05 May 2020 at 23:58 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 : 5184
Unique Edges : 3034
Edges With Duplicates : 7016
Total Edges : 10050
Number of Edge Types : 5
Retweet : 3050
MentionsInRetweet : 3838
Tweet : 1433
Replies to : 450
Mentions : 1279
Self-Loops : 1530
Reciprocated Vertex Pair Ratio : 0.00773395204949729
Reciprocated Edge Ratio : 0.0153491941673062
Connected Components : 1017
Single-Vertex Connected Components : 628
Maximum Vertices in a Connected Component : 3047
Maximum Edges in a Connected Component : 6544
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.093369
Graph Density : 0.000193980558473452
Modularity : 0.535495
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 5,184 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, 06 May 2020 at 09:32 UTC.
The requested start date was Wednesday, 06 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 3-day, 21-hour, 43-minute period from Saturday, 02 May 2020 at 02:14 UTC to Tuesday, 05 May 2020 at 23:58 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 Entire Graph:
[407] #covidー19,#cdc [393] 25,20 [392] latest,break [392] break,down [392] down,#covidー19 [392] #cdc,2020 [392] 2020,25 [391] here's,latest [391] 20,know [391] know,think Top Word Pairs in Tweet in G1:
[63] covid,19 [29] #who,#cdc [29] #cdc,#who [26] #cdc,#cdc7words [26] #cdc7words,#bannedwords [26] #bannedwords,#orwell [26] #orwell,#doubleplusgoodspeak [26] #doubleplusgoodspeak,#maga [26] #maga,#trumphasdementia [24] #cdc,#coronavirus Top Word Pairs in Tweet in G2:
[383] here's,latest [383] latest,break [383] break,down [383] down,#covidー19 [383] #covidー19,#cdc [383] #cdc,2020 [383] 2020,25 [383] 25,20 [383] 20,know [383] know,think Top Word Pairs in Tweet in G3:
[148] lotusoak2,#cdc [143] #cdc,paper [143] paper,shows [143] shows,campaign [143] campaign,designed [143] designed,scare [143] scare,public [143] public,taking [143] taking,flu [143] flu,vaccine Top Word Pairs in Tweet in G4:
[25] #covid19,#cdc [25] #cdc,realdonaldtrump [22] dishonesty,common [22] common,core [22] core,educated [22] educated,journalists [22] journalists,incapable [22] incapable,reading [22] reading,chart [22] chart,#covid19 Top Word Pairs in Tweet in G5:
[41] 2020,tax [41] tax,cuts [41] cuts,rich [41] rich,abuse [41] abuse,power [41] power,ignored [41] ignored,tens [41] tens,thousands [41] thousands,die [41] die,global Top Word Pairs in Tweet in G6:
[53] federal,officials [53] officials,confirm [53] confirm,sloppy [53] sloppy,laboratory [53] laboratory,practices [53] practices,two [53] two,three [53] three,#cdc [53] #cdc,labs [53] labs,involved Top Word Pairs in Tweet in G7:
[55] #moms,#dads [50] #trumptownhall,lincoln [50] lincoln,memorial [50] memorial,#moms [50] #dads,#playbook [50] #playbook,potus [50] potus,inherited [50] inherited,one [50] one,slow [50] slow,moving Top Word Pairs in Tweet in G8:
[60] covid,19 [42] despite,#cdc [42] #cdc,prediction [42] prediction,surging [42] surging,death [42] death,rate [42] rate,come [42] coronavirus,task [42] task,force [42] force,winding Top Word Pairs in Tweet in G9:
[98] lets,reacquainted [98] reacquainted,risks [98] risks,#mmrvaccine [98] #mmrvaccine,published [98] published,#cdc [98] #cdc,vaccine [98] vaccine,know [98] know,maim [97] busydrt,lets [97] maim,kil Top Word Pairs in Tweet in G10:
[77] sxdoc,#cdc [77] #cdc,huge [77] huge,revision [77] revision,consequences [77] consequences,oh [77] oh,right [77] right,civil [76] sundncefn,sxdoc [76] civil,servan [14] influenza,data Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: