The graph represents a network of 7,007 Twitter users whose tweets in the requested range contained "Propublica", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 29 July 2022 at 13:10 UTC.
The requested start date was Friday, 29 July 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 3-day, 17-hour, 31-minute period from Sunday, 24 July 2022 at 22:04 UTC to Thursday, 28 July 2022 at 15:36 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 : 7007
Unique Edges : 5507
Edges With Duplicates : 13494
Total Edges : 19001
Number of Edge Types : 5
Tweet : 1279
Retweet : 5193
MentionsInRetweet : 7572
Replies to : 1097
Mentions : 3860
Self-Loops : 1359
Reciprocated Vertex Pair Ratio : 0.0126987404501342
Reciprocated Edge Ratio : 0.0250790090733
Connected Components : 963
Single-Vertex Connected Components : 607
Maximum Vertices in a Connected Component : 5026
Maximum Edges in a Connected Component : 16436
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.706588
Graph Density : 0.000199812421989332
Modularity : 0.448443
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,007 Twitter users whose tweets in the requested range contained "Propublica", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 29 July 2022 at 13:10 UTC.
The requested start date was Friday, 29 July 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 3-day, 17-hour, 31-minute period from Sunday, 24 July 2022 at 22:04 UTC to Thursday, 28 July 2022 at 15:36 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 : Propublica
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:
[336] crept,back [333] polio,crept [203] signs,polio [188] each,week [186] water,usage [186] usage,data [186] data,suggests [186] suggests,americans [186] americans,avoid [186] avoid,meat Top Word Pairs in Tweet in G1:
[120] greg,abbott [119] gov,greg [119] abbott,claimed [119] claimed,texas [119] texas,provides [119] provides,expectant [119] expectant,mothers [119] mothers,necessary [119] necessary,resources [119] resources,choose Top Word Pairs in Tweet in G2:
[104] crept,back [101] polio,crept [56] back,propublica [44] climate,colonialism [43] resists,climate [43] colonialism,effort [43] effort,survive [43] survive,costs [42] barbados,resists [42] costs,global Top Word Pairs in Tweet in G3:
[47] government,official [44] official,helped [42] article,nearing [42] nearing,publication [42] mailed,propublica [41] 2018,florida [39] felony,convictions [37] publication,cemetery [37] cemetery,mailed [37] propublica,check Top Word Pairs in Tweet in G4:
[25] propublica,mehdirhasan [22] propublica,frc [20] propublica,esqueer_ [19] xenosbreed,propublica [19] esqueer_,mean [19] mean,john [19] john,oliver [19] oliver,successfully [19] successfully,created [19] created,church Top Word Pairs in Tweet in G5:
[48] abrahml,propublica [48] jesspish,nytimes [45] chasemadar,jesspish [43] piece,abrahml [43] propublica,summarized [43] summarized,radical_carib [43] radical_carib,thread [43] thread,eye [43] eye,opening [43] opening,ve Top Word Pairs in Tweet in G6:
[30] national,debt [18] tax,cuts [14] laurenboebert,holy [14] holy,cheesy [14] cheesy,grits [14] grits,batman [14] batman,notorious [14] notorious,ged [14] ged,record [14] record,financial Top Word Pairs in Tweet in G7:
[67] hahaha,cool [67] cool,worst [67] worst,features [67] features,last [67] last,century [67] century,returning [67] returning,once [67] once,love [66] andizeisler,hahaha [53] signs,polio Top Word Pairs in Tweet in G8:
[184] water,usage [184] usage,data [184] data,suggests [184] suggests,americans [184] americans,avoid [184] avoid,meat [184] meat,one [184] one,day [184] day,each [184] each,week Top Word Pairs in Tweet in G9:
[35] propublica,texastribune [31] flat,tricked [31] tricked,voting [31] voting,florida [31] florida,10 [31] 10,men [31] men,felony [31] felony,convictions [31] convictions,charged [31] charged,voter Top Word Pairs in Tweet in G10:
[57] cnn,channelnewsasia [57] channelnewsasia,rt_com [57] rt_com,cbseveningnews [57] cbseveningnews,abc [57] abc,nbcnews [57] nbcnews,msnbc [56] msnbc,ajenglish [55] ajenglish,aljazeeraworld [46] et_sharing,cnn [45] aljazeeraworld,afp Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: