The graph represents a network of 6,899 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, 17 August 2022 at 10:00 UTC.
The requested start date was Wednesday, 17 August 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 10-hour, 10-minute period from Friday, 12 August 2022 at 13:44 UTC to Tuesday, 16 August 2022 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 : 6899
Unique Edges : 3290
Edges With Duplicates : 11943
Total Edges : 15233
Number of Edge Types : 5
Retweet : 5319
MentionsInRetweet : 6574
Mentions : 1279
Tweet : 1732
Replies to : 329
Self-Loops : 1810
Reciprocated Vertex Pair Ratio : 0.00679546968687542
Reciprocated Edge Ratio : 0.013499205929063
Connected Components : 1059
Single-Vertex Connected Components : 660
Maximum Vertices in a Connected Component : 4271
Maximum Edges in a Connected Component : 10575
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.298457
Graph Density : 0.000158775180186505
Modularity : 0.502354
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 6,899 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, 17 August 2022 at 10:00 UTC.
The requested start date was Wednesday, 17 August 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 10-hour, 10-minute period from Friday, 12 August 2022 at 13:44 UTC to Tuesday, 16 August 2022 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".
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:
[607] spike,protein [582] #mrna,spike [555] last,long [552] protein,last [545] #cdc,removed [540] jimmyjoeyam,#cdc [535] removed,section [535] section,website [535] website,stated [535] stated,#mrna Top Word Pairs in Tweet in G1:
[40] #cdc,#cdc7words [40] #cdc7words,#bannedwords [40] #bannedwords,#orwell [40] #orwell,#doubleplusgoodspeak [40] #doubleplusgoodspeak,#maga [40] #maga,#trumphasdementia [34] covid,19 [23] #cdc,#covid19 [16] #cdc,guidelines [14] #cdc,#covid Top Word Pairs in Tweet in G2:
[509] #mrna,spike [504] jimmyjoeyam,#cdc [500] #cdc,removed [500] removed,section [500] section,website [500] website,stated [500] stated,#mrna [500] spike,protein [500] protein,last [500] last,long Top Word Pairs in Tweet in G3:
[214] well,look [214] look,one [214] one,day [214] day,apart [214] apart,cdcgov [214] cdcgov,completely [214] completely,removes [214] removes,two [214] two,bullet [214] bullet,points Top Word Pairs in Tweet in G4:
[307] centers,disease [307] disease,control [307] control,cdc [307] cdc,heeft [307] heeft,onlangs [307] onlangs,bepaalde [307] bepaalde,feiten [307] feiten,over [307] over,mrna [307] mrna,vaccins Top Word Pairs in Tweet in G5:
[212] #cdc,admitting [212] admitting,wrong [212] wrong,although [212] although,won [212] won,put [212] put,those [212] those,words [212] words,public [212] public,health [212] health,expert Top Word Pairs in Tweet in G6:
[88] #cdc,#covid [39] covid,19 [29] #covid,#cdc [24] covid,guidelines [19] #covid19,#cdc [19] #covid_19,#covid19 [16] #covid,guidance [16] #covid,#vaccine [16] #cdc,quietly [15] social,distancing Top Word Pairs in Tweet in G7:
[209] fait,disparaître [209] disparaître,cas [209] cas,gênants [209] gênants,sa [209] sa,base [209] base,données [204] cdc,fait [204] données,#cdc [204] #cdc,#covid19 [203] navaro_florent,cdc Top Word Pairs in Tweet in G8:
[131] #cdc,guidelines [131] guidelines,double [131] double,down [131] down,flawed [131] flawed,evidence [131] evidence,based [131] based,recommendations [131] recommendations,dr [131] dr,erictopol [131] erictopol,#covid Top Word Pairs in Tweet in G9:
[20] #cdc,#dea [18] #cdc,opioid [17] analysis,#opioid [17] #opioid,prescribing [17] prescribing,#overdose [17] #overdose,deaths [17] deaths,finds [17] finds,much [17] much,data [17] data,used Top Word Pairs in Tweet in G10:
[147] prima,#cdc [147] #cdc,diceva [147] diceva,proteina [147] proteina,#spike [147] #spike,spariva [147] spariva,dal [147] dal,corpo [147] corpo,dopo [147] dopo,poco [147] poco,ora Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G8:
Top Replied-To in G9:
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: