The graph represents a network of 6,191 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, 28 October 2020 at 09:55 UTC.
The requested start date was Wednesday, 28 October 2020 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 6-day, 10-hour, 9-minute period from Wednesday, 21 October 2020 at 13:51 UTC to Wednesday, 28 October 2020 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 : 6191
Unique Edges : 3149
Edges With Duplicates : 10139
Total Edges : 13288
Number of Edge Types : 5
Retweet : 3943
MentionsInRetweet : 4707
Tweet : 2806
Replies to : 576
Mentions : 1256
Self-Loops : 2928
Reciprocated Vertex Pair Ratio : 0.0053127677806341
Reciprocated Edge Ratio : 0.0105693828844187
Connected Components : 1371
Single-Vertex Connected Components : 891
Maximum Vertices in a Connected Component : 3411
Maximum Edges in a Connected Component : 8745
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.452004
Graph Density : 0.000153070184480103
Modularity : 0.463235
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6,191 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, 28 October 2020 at 09:55 UTC.
The requested start date was Wednesday, 28 October 2020 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 6-day, 10-hour, 9-minute period from Wednesday, 21 October 2020 at 13:51 UTC to Wednesday, 28 October 2020 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:
[1327] covid,19 [844] spent,around [842] cumulative,time [842] time,person [841] researchers,suggesting [841] suggesting,cumulative [841] person,spent [841] around,others [841] others,covid [841] 19,instead Top Word Pairs in Tweet in G1:
[93] covid,19 [54] close,contact [53] #cdc,#cdc7words [53] #cdc7words,#bannedwords [53] #bannedwords,#orwell [53] #orwell,#doubleplusgoodspeak [53] #doubleplusgoodspeak,#maga [53] #maga,#trumphasdementia [38] #cdc,#covid19 [29] definition,close Top Word Pairs in Tweet in G2:
[846] covid,19 [829] spent,around [828] cdc,researchers [828] researchers,suggesting [828] suggesting,cumulative [828] cumulative,time [828] time,person [828] person,spent [828] around,others [828] others,covid Top Word Pairs in Tweet in G3:
[54] oliviatroye,carol_33410 [54] carol_33410,realdonaldtrump [54] realdonaldtrump,holds [54] holds,powerful [54] powerful,position [54] position,world [54] world,depts [54] depts,controls [53] indigenousdancy,oliviatroye [23] task,force Top Word Pairs in Tweet in G4:
[383] #covid19,#cdc [383] #cdc,#wakeup [377] link,image [377] image,39 [377] 39,#covid19 [377] #wakeup,#covidbriefing [377] #covidbriefing,#covid19uk [376] sapiofoxy,link [376] #covid19uk,#covid19i [6] cdc,admits Top Word Pairs in Tweet in G5:
[109] sued,#cdc [99] cdc,under [99] under,fire [99] fire,vaccine [99] vaccine,#autism [99] #autism,lawsuit [99] lawsuit,ican [99] ican,icandecide [99] icandecide,sued [99] #cdc,studies Top Word Pairs in Tweet in G6:
[21] #covid19,#vaccines [20] covid,19 [15] #hhs,#cdc [14] maddening,furiously [14] furiously,emailing [14] emailing,#hhs [14] #cdc,outrageous [14] outrageous,hhs [14] hhs,cdc [14] cdc,indeed Top Word Pairs in Tweet in G7:
[148] perfect,time [148] time,abolish [148] abolish,#cdc [148] #cdc,recommended [148] recommended,childhood [147] #fauci,dismisses [147] dismisses,#herdimmunity [147] #herdimmunity,perfect [147] childhood,#vaccine [147] #vaccine,schedule Top Word Pairs in Tweet in G8:
[162] breaking,#cdc [162] #cdc,updates [162] updates,website [162] website,saying [162] saying,suspending [161] newsforthewoke,breaking [161] suspending,data [160] data,collection [160] collection,2020 [160] 2020,21 Top Word Pairs in Tweet in G9:
[8] false,negatives [7] 71,false [5] #doctors,test [5] negatives,test [5] #cdc,promotes [5] promotes,#vaccination [5] #vaccination,strategy [5] strategy,prevent [5] prevent,disease [5] disease,owns Top Word Pairs in Tweet in G10:
[74] #cdc,distinguish [74] distinguish,between [74] between,#flu [74] #flu,#covid19 [74] #covid19,reporting [74] reporting,flu [74] flu,anymore [74] anymore,seriously [73] fitnessmamma,#cdc [73] seriously,#w Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
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Top Replied-To in G8:
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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: