The graph represents a network of 6,635 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, 02 December 2022 at 14:10 UTC.
The requested start date was Friday, 02 December 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 2-day, 13-hour, 24-minute period from Tuesday, 29 November 2022 at 11:28 UTC to Friday, 02 December 2022 at 00:53 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 : 6635
Unique Edges : 6970
Edges With Duplicates : 14217
Total Edges : 21187
Number of Edge Types : 5
Retweet : 5281
MentionsInRetweet : 9678
Mentions : 4059
Replies to : 1391
Tweet : 778
Self-Loops : 809
Reciprocated Vertex Pair Ratio : 0.0125448028673835
Reciprocated Edge Ratio : 0.0247787610619469
Connected Components : 546
Single-Vertex Connected Components : 345
Maximum Vertices in a Connected Component : 5603
Maximum Edges in a Connected Component : 19903
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 3.088734
Graph Density : 0.000282393524805079
Modularity : 0.403165
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,635 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, 02 December 2022 at 14:10 UTC.
The requested start date was Friday, 02 December 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 2-day, 13-hour, 24-minute period from Tuesday, 29 November 2022 at 11:28 UTC to Friday, 02 December 2022 at 00:53 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:
[1701] mature,enough [1321] end,pregnancy [1321] enough,end [1318] teenagers,prove [1316] pregnancy,propublica [1316] judge,re [1316] prove,judge [1316] re,mature [1315] lizziepresser,teenagers [1315] propublica,nytma Top Word Pairs in Tweet in G1:
[1291] mature,enough [1209] end,pregnancy [1209] enough,end [1208] teenagers,prove [1206] pregnancy,propublica [1206] re,mature [1206] prove,judge [1206] judge,re [1205] propublica,nytma [1205] lizziepresser,teenagers Top Word Pairs in Tweet in G2:
[592] propublica,washingtonpost [428] twitter,account [428] congressional,twitter [428] follower,data [428] account,follower [428] look,congressional [428] washingtonpost,joint [428] data,propublica [427] derekwillis,look [124] derekwillis,propublica Top Word Pairs in Tweet in G3:
[146] mature,enough [105] public,housing [102] housing,land [70] never,ready [67] turn,over [67] over,public [67] enough,decide [59] soccer,team [54] team,owned [54] land,soccer Top Word Pairs in Tweet in G4:
[82] vanityfair,propublica [73] propublica,vanityfair [69] pathologically,averse [69] statement,propublica [69] based,embarrassing [69] multiple,demonstrable [69] embarrassing,statement [69] admitting,multiple [69] propublica,pathologically [69] averse,admitting Top Word Pairs in Tweet in G5:
[46] limit,teen [46] teen,access [46] access,abortion [46] states,limit [32] never,ready [32] profit,hustle [31] ready,states [31] became,profit [30] hospice,movement [30] movement,became Top Word Pairs in Tweet in G6:
[183] counterintuitive,run [183] long,world [183] hospices,solve [183] seem,counterintuitive [183] business,whose [183] whose,clients [183] world,hospices [183] clients,long [183] run,business [182] solve,obsta Top Word Pairs in Tweet in G7:
[19] national,debt [16] built,national [16] trump,built [16] debt,big [16] big,before [16] donald,trump [15] before,pandemic [15] foxnews,wearesinclair [15] aarp,nro [15] tell,bitching Top Word Pairs in Tweet in G8:
[7] avindman,right [7] kasparov63,avindman [7] elonmusk,kasparov63 [7] renew_democracy,elonmusk [6] davetroy,renew_democracy [3] taylor,commercial [3] went,payroll [2] djsnm,elonmusk [2] elangasfro,k_mushroom_mug [2] gaetz,shareholder Top Word Pairs in Tweet in G9:
[77] mature,enough [30] lack,regulation [30] care,easy [30] regulation,transformed [30] half,americans [30] americans,die [30] crusade,provide [30] die,hospice [30] hospice,care [30] money,lack Top Word Pairs in Tweet in G10:
[43] impact,teen [43] wrenching,thorough [43] heart,wrenching [43] thorough,pieces [43] profound,heart [43] lived,experience [43] one,profound [43] pieces,journalism [43] journalism,lived [43] experience,impact Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: