The graph represents a network of 5,163 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, 30 November 2022 at 11:00 UTC.
The requested start date was Wednesday, 30 November 2022 at 01:01 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, 23-hour, 56-minute period from Wednesday, 16 November 2022 at 01:02 UTC to Wednesday, 30 November 2022 at 00:59 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 : 5163
Unique Edges : 3169
Edges With Duplicates : 8849
Total Edges : 12018
Number of Edge Types : 5
Tweet : 1802
Retweet : 3518
MentionsInRetweet : 4633
Replies to : 435
Mentions : 1630
Self-Loops : 1886
Reciprocated Vertex Pair Ratio : 0.00959692898272553
Reciprocated Edge Ratio : 0.0190114068441065
Connected Components : 991
Single-Vertex Connected Components : 584
Maximum Vertices in a Connected Component : 2831
Maximum Edges in a Connected Component : 7954
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 6.25456
Graph Density : 0.000217099240467839
Modularity : 0.495044
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,163 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, 30 November 2022 at 11:00 UTC.
The requested start date was Wednesday, 30 November 2022 at 01:01 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, 23-hour, 56-minute period from Wednesday, 16 November 2022 at 01:02 UTC to Wednesday, 30 November 2022 at 00:59 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:
[904] #fda,#cdc [757] #pfizer,#moderna [705] #diedsuddenly,#diedsuddenlydocumentary [692] #fauciliedmillionsdied,#fda [691] #moderna,#fauciliedmillionsdied [691] #diedsuddenlydocumentary,#pfizer [684] feel,day [684] day,#diedsuddenly [680] #cdc,#bidenwor [678] amfreedom12,feel Top Word Pairs in Tweet in G1:
[662] #pfizer,#moderna [662] #diedsuddenly,#diedsuddenlydocumentary [661] #diedsuddenlydocumentary,#pfizer [661] #moderna,#fauciliedmillionsdied [661] #fda,#cdc [661] feel,day [661] day,#diedsuddenly [661] #fauciliedmillionsdied,#fda [660] amfreedom12,feel [660] #cdc,#bidenwor Top Word Pairs in Tweet in G2:
[144] #cdc7words,#bannedwords [144] #doubleplusgoodspeak,#maga [144] #maga,#trumphasdementia [144] #bannedwords,#orwell [144] #cdc,#cdc7words [144] #orwell,#doubleplusgoodspeak [73] #fda,#cdc [44] #ccp,#covid [44] based,#cdc [44] #ivermectin,#fda Top Word Pairs in Tweet in G3:
[62] suicide,vad [62] due,severe [62] asst,death [62] death,early [62] vol,asst [62] going,switzerland [62] early,2023 [62] asst,suicide [62] official,going [62] switzerland,physician Top Word Pairs in Tweet in G4:
[53] unvaccinated,non [41] legal,citizens [41] non,legal [31] travel,ban [28] ban,unvaccinated [27] biden,administration [24] separated,families [22] families,loved [21] suit,india [21] administration,follow Top Word Pairs in Tweet in G5:
[44] #cro,#crofam [36] #cronos,#cdc [28] thank,later [28] #crofam,#cronos [27] #cdc,#dca [27] #dca,kris [27] buy,#dip [27] #dip,thank [27] later,#crofam [26] themrawong,buy Top Word Pairs in Tweet in G6:
[108] billions,#vaccinedeaths [108] lawsuits,billions [108] #vaccinedeaths,lawsuits [108] billions,#vaccineinjuries [108] #pfizer,pay [108] pay,billions [108] #vaccineinjuries,lawsuits [107] derricksweet,#pfizer [37] #who,#cdc [26] fauci,lied Top Word Pairs in Tweet in G7:
[106] posting,#gettr [95] denunciation,ccp [95] global,denunciation [50] steve,bannon [50] bannon,posting [46] #fda,#cdc [45] oxfordsevenstar,global [41] #ccp,#covid [39] drop,check [38] discord,#cro Top Word Pairs in Tweet in G8:
[87] erwachsenen,#erwachsene [87] #cdc,#paxlovid [87] #erwachsene,max [87] inkl,2t [87] 2t,infektion [87] usa,gegen [87] 19,inkl [87] gegen,#covid [87] #paxlovid,alle [87] alle,erwachsenen Top Word Pairs in Tweet in G9:
[87] covid,ad [87] riporta,washingtonpost [87] come,riporta [87] erano,persone [87] washingtonpost,58 [87] persone,tutte [87] dei,decessi [87] ad,agosto [87] americani,covid [87] vaccinate,altro Top Word Pairs in Tweet in G10:
[98] breum888,raachrach [96] giveaway,breum888 [96] huge,giveaway [96] floor,price [96] mutant,apes [96] raachrach,win [96] 1500,cro [96] price,1500 [96] win,2x [96] cronos,mutant Top Replied-To in Entire Graph:
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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: