The graph represents a network of 6,327 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, 12 October 2022 at 10:00 UTC.
The requested start date was Wednesday, 12 October 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 11-day, 7-hour, 7-minute period from Friday, 30 September 2022 at 16:53 UTC to Wednesday, 12 October 2022 at 00:00 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 : 6327
Unique Edges : 3644
Edges With Duplicates : 12526
Total Edges : 16170
Number of Edge Types : 5
Mentions : 1548
Retweet : 5339
MentionsInRetweet : 7348
Tweet : 1634
Replies to : 301
Self-Loops : 1755
Reciprocated Vertex Pair Ratio : 0.0103593809950122
Reciprocated Edge Ratio : 0.0205063291139241
Connected Components : 809
Single-Vertex Connected Components : 463
Maximum Vertices in a Connected Component : 3875
Maximum Edges in a Connected Component : 10800
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.675763
Graph Density : 0.000197378602290661
Modularity : 0.489655
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 6,327 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, 12 October 2022 at 10:00 UTC.
The requested start date was Wednesday, 12 October 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 11-day, 7-hour, 7-minute period from Friday, 30 September 2022 at 16:53 UTC to Wednesday, 12 October 2022 at 00:00 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:
[795] î,î [549] cdc,watch [549] life,coach [549] #sunaina_tickoo,life [549] jock,rjsahilmuzaffar [549] ceo,brianprenuers [549] evening,jock [549] coach,ceo [549] conversation,#sunaina_tickoo [549] brianprenuers,cdc Top Word Pairs in Tweet in G1:
[388] nei,vaccini [385] alluminio,nei [335] vaccini,legato [335] #cdc,conferma [333] autismo,composti [333] asma,infantile [333] composti,alluminio [333] conferma,alluminio [333] legato,asma [333] infantile,autismo Top Word Pairs in Tweet in G2:
[549] ceo,brianprenuers [549] brianprenuers,cdc [549] rjsahilmuzaffar,conversation [549] coach,ceo [549] evening,jock [549] cdc,watch [549] conversation,#sunaina_tickoo [549] jock,rjsahilmuzaffar [549] life,coach [549] #sunaina_tickoo,life Top Word Pairs in Tweet in G3:
[357] medical,care [357] care,getting [357] #covid19,vaccine [357] americans,sought [357] vaccine,according [357] thousands,americans [357] sought,medical [357] hundreds,thousands [357] getting,#covid19 [352] epochtimes,hundreds Top Word Pairs in Tweet in G4:
[104] #cdc7words,#bannedwords [104] #doubleplusgoodspeak,#maga [104] #maga,#trumphasdementia [104] #bannedwords,#orwell [104] #cdc,#cdc7words [104] #orwell,#doubleplusgoodspeak [47] î,î [30] based,#cdc [29] covid,19 [22] #cdc,#who Top Word Pairs in Tweet in G5:
[315] ee,uu [314] ordena,#cdc [314] #cdc,publiquen [314] publiquen,datos [314] corte,ee [314] noticia,hermosa [314] hermosa,últimos [314] últimos,corte [314] uu,ordena [313] damian_uy_,noticia Top Word Pairs in Tweet in G6:
[83] anti,opioid [81] public,hearing [81] opioid,activists [81] guideline,dominated [81] #opioid,guideline [81] dominated,anti [81] controversial,#opioid [81] activists,took [80] painnewsnetwork,public [47] cdc,controversial Top Word Pairs in Tweet in G7:
[83] second,opinion [83] johnboweactor,draseemmalhotra [83] draseemmalhotra,#documentary [83] opinion,oraclefilmsuk [83] #safeandeffective,second [83] oraclefilmsuk,johnboweactor [40] #cdc,#fda [34] #documentary,#covid19 [30] abandoned,#safeandeffective [30] myocarditis,#safeandeffective Top Word Pairs in Tweet in G8:
[98] #cdc,#covid [48] covid,19 [25] #covid,#fauci [24] #covid,#health [23] #covid,#newyorktimes [23] legacy,media [23] facts,covid [23] media,tell [23] tell,#cdc [23] 19,legacy Top Word Pairs in Tweet in G9:
[139] #cro,#crofam [110] #nft,#nfts [63] techno,cyber [63] #cdc,#cro [61] #nfts,#nftcommunity [54] #cryptocomnft,#cryptocom [52] #cdc,#cdcnft [49] bull,mom [49] cryptocomnft,cryptocom [49] cryptocom,#nft Top Word Pairs in Tweet in G10:
[177] ee,uu [172] confirman,gobierno [172] #cdc,#pfizer [172] #pfizer,cometieron [172] dr,robert [172] robert,malone [172] dr,peter [172] gobierno,ee [172] peter,mccullough [172] malone,confirman 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: