The graph represents a network of 4,613 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 June 2020 at 09:45 UTC.
The requested start date was Wednesday, 17 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 4-hour, 53-minute period from Friday, 12 June 2020 at 19:03 UTC to Tuesday, 16 June 2020 at 23:56 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 : 4613
Unique Edges : 2727
Edges With Duplicates : 7179
Total Edges : 9906
Number of Edge Types : 5
Mentions : 779
MentionsInRetweet : 4189
Replies to : 364
Retweet : 3145
Tweet : 1429
Self-Loops : 1542
Reciprocated Vertex Pair Ratio : 0.0046027616569942
Reciprocated Edge Ratio : 0.00916334661354582
Connected Components : 860
Single-Vertex Connected Components : 503
Maximum Vertices in a Connected Component : 2765
Maximum Edges in a Connected Component : 6904
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.145934
Graph Density : 0.000235955966668353
Modularity : 0.513638
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 4,613 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 June 2020 at 09:45 UTC.
The requested start date was Wednesday, 17 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 4-hour, 53-minute period from Friday, 12 June 2020 at 19:03 UTC to Tuesday, 16 June 2020 at 23:56 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 G2:
[639] #coronavirus,#cdc [639] #facemasks,#protection [639] #covid19,#corona [639] #protection,#coronavirus [639] covid,19 [639] #corona,#quarantine [639] #quarantine,#lockdown [639] #cdc,#news [639] #cdc,#cdc7words [638] #cdc7words,#bannedwords Top Word Pairs in Tweet in G3:
[46] obvious,january [44] january,february [43] february,cdcgov [41] cdcgov,openly [40] openly,telling [38] telling,people [38] people,#facemasks [38] #facemasks,essential [36] jonahblank,obvious [36] essential,#med Top Word Pairs in Tweet in G4:
[23] lotusoak2,dr [23] dr,paul [23] paul,thomas [23] thomas,md [23] md,pediatrician [23] pediatrician,see [23] see,#vaxxed [23] #vaxxed,#cdc [22] #cdc,#vaccine [22] #vaccine,schedule Top Word Pairs in Tweet in G5:
[110] #cdc,last [68] last,week [68] week,#covid19 [68] #covid19,rules [68] rules,convenient [68] convenient,over [68] over,#hypocrisy [68] djlots3,#cdc [68] please,keep [68] keep,scene Top Word Pairs in Tweet in G6:
[142] jheardjr25,abcpolitics [142] abcpolitics,abc [142] abc,totally [142] totally,wrong [142] wrong,obviously [142] obviously,read [142] read,#cdc [141] #cdc,nih [94] drlee4america,jheardjr25 [94] nih,studies Top Word Pairs in Tweet in G7:
[184] time,interfere [184] interfere,trump [184] trump,rallies [184] rallies,okay [184] okay,anarchists [184] anarchists,terrorize [184] terrorize,america [184] america,cases [183] cases,come [183] carolmswain,time Top Word Pairs in Tweet in G8:
[113] going,covid [113] covid,shenanigans [113] shenanigans,#cdc [113] #cdc,opened [113] opened,eyes [113] eyes,pure [113] pure,corruption [113] corruption,#cdc [113] land_terri,going [112] #cdc,#vac Top Word Pairs in Tweet in G9:
[139] dino,rider [139] rider,business [139] business,attend [139] attend,#cdc [139] #cdc,#characterdesignchallenge [139] stasya_sher,dino Top Word Pairs in Tweet in G10:
[89] trust,#cdc [89] #cdc,#who [89] #who,#cdc [89] #cdc,warns [89] warns,more [88] more,#coviddeaths [] #coviddeaths,come [] come,trump [] trump,lies [] lies,cabinet 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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