The graph represents a network of 7,625 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, 26 August 2022 at 13:09 UTC.
The requested start date was Friday, 26 August 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 2-day, 2-hour, 21-minute period from Tuesday, 23 August 2022 at 13:15 UTC to Thursday, 25 August 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 : 7625
Unique Edges : 3732
Edges With Duplicates : 14226
Total Edges : 17958
Number of Edge Types : 5
Tweet : 534
Retweet : 6319
MentionsInRetweet : 8318
Replies to : 771
Mentions : 2016
Self-Loops : 559
Reciprocated Vertex Pair Ratio : 0.00470395745986297
Reciprocated Edge Ratio : 0.00936386768447837
Connected Components : 511
Single-Vertex Connected Components : 258
Maximum Vertices in a Connected Component : 6481
Maximum Edges in a Connected Component : 16600
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 4.105983
Graph Density : 0.000169008996611219
Modularity : 0.475255
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 7,625 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, 26 August 2022 at 13:09 UTC.
The requested start date was Friday, 26 August 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 2-day, 2-hour, 21-minute period from Tuesday, 23 August 2022 at 13:15 UTC to Thursday, 25 August 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:
[1651] tell,story [1650] story,ultrasecretive [1650] ultrasecretive,donor [1650] donor,key [1650] key,architect [1650] architect,supreme [1650] supreme,court's [1650] court's,rightward [1650] rightward,lurch [1650] lurch,whole Top Word Pairs in Tweet in G1:
[1424] tell,story [1424] story,ultrasecretive [1424] ultrasecretive,donor [1424] donor,key [1424] key,architect [1424] architect,supreme [1424] supreme,court's [1424] court's,rightward [1424] rightward,lurch [1424] lurch,whole Top Word Pairs in Tweet in G2:
[346] propublica,levernews [213] barre,seid [160] leonard,leo [149] dark,money [145] andykroll,tell [145] tell,story [145] story,ultrasecretive [145] ultrasecretive,donor [145] donor,key [145] key,architect Top Word Pairs in Tweet in G3:
[967] dark,money [966] same,story [966] story,propublica [966] propublica,doesn [966] doesn,wake [966] wake,dark [966] money,don [966] don,know [966] know,makes [965] senwhitehouse,same Top Word Pairs in Tweet in G4:
[597] marjorie,taylor [597] taylor,greene's [597] greene's,construction [597] construction,company [597] company,received [597] received,180 [597] 180,000 [597] 000,ppp [597] ppp,loan [597] loan,federal Top Word Pairs in Tweet in G5:
[49] gutted,irs [44] gop,gutted [44] irs,rich [44] rich,made [30] republicans,slashed [30] slashed,funding [30] funding,irs [30] irs,limit [30] limit,resources [30] resources,need Top Word Pairs in Tweet in G6:
[44] right,wing [41] secretive,billionaire [41] billionaire,handed [41] handed,fortune [41] fortune,architect [41] architect,right [41] wing,takeover [39] takeover,courts [37] tax,credit [35] temp,work Top Word Pairs in Tweet in G7:
[176] ppp,loan [162] weather,covid [146] help,weather [125] covid,forgiven [82] loan,2020 [82] 2020,help [82] ppp,loans [81] loans,forgiven [78] prageru,received [78] received,704 Top Word Pairs in Tweet in G8:
[212] 6b,donation [212] donation,made [212] made,history [212] history,largest [212] largest,single [212] single,sum [212] sum,contributed [212] contributed,effort [212] effort,destroy [212] destroy,democracy Top Word Pairs in Tweet in G9:
[127] zip,code [126] student,loan [123] experiencing,localized [123] localized,outrage [123] outrage,over [123] over,plan [123] plan,relieve [123] relieve,college [123] college,student [123] loan,debt Top Word Pairs in Tweet in G10:
[126] barre,seid [115] leo,billion [114] important,barre [114] seid,gave [114] gave,leo [114] billion,billion [114] billion,ratfuck [114] ratfuck,democracy [114] democracy,seid [114] seid,90 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 G7:
Top Replied-To in G8:
Top Replied-To in G9:
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:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: