The graph represents a network of 6,416 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, 20 April 2022 at 09:48 UTC.
The requested start date was Wednesday, 20 April 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 13-day, 6-hour, 6-minute period from Wednesday, 06 April 2022 at 17:54 UTC to Wednesday, 20 April 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 : 6416
Unique Edges : 4241
Edges With Duplicates : 10148
Total Edges : 14389
Number of Edge Types : 5
Retweet : 3969
MentionsInRetweet : 5356
Tweet : 2570
Mentions : 1913
Replies to : 581
Self-Loops : 2717
Reciprocated Vertex Pair Ratio : 0.012432594367885
Reciprocated Edge Ratio : 0.0245598461310845
Connected Components : 1480
Single-Vertex Connected Components : 929
Maximum Vertices in a Connected Component : 3261
Maximum Edges in a Connected Component : 8759
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 8.068338
Graph Density : 0.000164218254053098
Modularity : 0.496857
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,416 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, 20 April 2022 at 09:48 UTC.
The requested start date was Wednesday, 20 April 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 13-day, 6-hour, 6-minute period from Wednesday, 06 April 2022 at 17:54 UTC to Wednesday, 20 April 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:
[450] biden,administration [443] #cdc,tool [443] tool,biden [442] theleoterrell,#cdc [388] mask,mandate [204] #coronavirus,#covid19 [196] #landlord,#landlords [196] #landlords,#apartmentliving [196] #apartmentliving,#reviewyourlandlordsafestan [196] #reviewyourlandlordsafestan,#coronavirus Top Word Pairs in Tweet in G1:
[199] #coronavirus,#covid19 [196] #landlord,#landlords [196] #landlords,#apartmentliving [196] #apartmentliving,#reviewyourlandlordsafestan [196] #reviewyourlandlordsafestan,#coronavirus [196] #covid19,#rentrelief [181] #rentrelief,#evictionmoratorium [181] #evictionmoratorium,#cdc [123] #cdc,#cdc7words [123] #cdc7words,#bannedwords Top Word Pairs in Tweet in G2:
[34] public,health [32] mask,mandate [29] study,gun [29] gun,violence [28] right,cdcgov [28] cdcgov,funded [28] funded,study [28] violence,country [28] country,time [28] time,treat Top Word Pairs in Tweet in G3:
[440] #cdc,tool [440] tool,biden [440] biden,administration [439] theleoterrell,#cdc [27] #cdc,#biden [27] #biden,#conservative [16] #mask,#mandate [14] ve,#mask [14] #mask,right [14] right,finally Top Word Pairs in Tweet in G4:
[142] #cro,#crofam [77] #ballies,#balliesfam [77] #balliesfam,#trippinballs [77] #trippinballs,#cro [56] #crofam,#nft [55] #cro,#crofamily [55] edzuksb,selling [52] ballie,#ballies [52] #crofamily,#cdc [52] #nft,#fftb Top Word Pairs in Tweet in G5:
[92] us_muckraker,ibdgirl76 [88] #cdc,#dea [45] ibdgirl76,#cdc [42] pain,meds [39] pain,medication [36] medication,#cdc [34] #cdc,#opioid [32] enforced,#dea [31] #cdc,aware [31] aware,guidelines Top Word Pairs in Tweet in G6:
[20] lisa,wilkinson [20] wilkinson,slams [20] slams,liberal [20] liberal,party [20] party,delivering [20] delivering,promises [20] promises,#anneruston [20] #anneruston,asked [20] asked,delivering [20] #1619project,#elijahmcclain Top Word Pairs in Tweet in G7:
[163] 95,#wearamask [163] #wearamask,#cdc [163] #cdc,#delta [163] #delta,masks [163] masks,work [163] work,thinking [163] thinking,otherwise [163] otherwise,huge [163] huge,reason [163] reason,we've Top Word Pairs in Tweet in G8:
[14] covid,19 [12] patolog,dr [12] dr,ryan [12] ryan,cole [12] co,znajduje [12] znajduje,podczas [12] podczas,przeprowadzania [12] przeprowadzania,sekcji [12] sekcji,zwłok [12] zwłok,zaszczepionych Top Word Pairs in Tweet in G9:
[39] ajackso63831215,lyme_x [31] lyme_x,cohengive [18] cohengive,hhsgov [18] hhsgov,hhs_innovates [18] hhs_innovates,researcher [18] researcher,submitting [18] submitting,#lymex [18] #lymex,diagnostic [18] diagnostic,challenge [18] challenge,know Top Word Pairs in Tweet in G10:
[43] nft,giveaway [43] giveaway,#cro [43] #cro,win [43] win,walkerroby [43] walkerroby,#11 [43] #11,rules [43] rules,follow [43] follow,imwalkerroby [43] imwalkerroby,tag [43] tag,#crofam 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: