The graph represents a network of 5,038 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, 15 November 2019 at 07:17 UTC.
The requested start date was Friday, 15 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 1-day, 10-hour, 37-minute period from Wednesday, 13 November 2019 at 14:23 UTC to Friday, 15 November 2019 at 01:00 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 : 5038
Unique Edges : 6506
Edges With Duplicates : 1880
Total Edges : 8386
Number of Edge Types : 3
Mentions : 6844
Replies to : 486
Tweet : 1056
Self-Loops : 1056
Reciprocated Vertex Pair Ratio : 0.00902184235517569
Reciprocated Edge Ratio : 0.0178823529411765
Connected Components : 752
Single-Vertex Connected Components : 561
Maximum Vertices in a Connected Component : 3612
Maximum Edges in a Connected Component : 6807
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.959274
Graph Density : 0.0002512176074106
Modularity : 0.666079
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,038 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, 15 November 2019 at 07:17 UTC.
The requested start date was Friday, 15 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 1-day, 10-hour, 37-minute period from Wednesday, 13 November 2019 at 14:23 UTC to Friday, 15 November 2019 at 01:00 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 : 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1449] tax,break [1204] superyacht,marina [997] trump,tax [915] poor,went [834] donor,s [832] s,superyacht [830] gop,donor [774] help,poor [749] break,help [697] rich,gop Top Word Pairs in Tweet in G1:
[273] tax,break [173] rick,scott [172] gov,rick [161] randy,perkins [161] perkins,donated [161] donated,500 [161] 500,000 [161] 000,america [161] america,first [161] first,trump Top Word Pairs in Tweet in G2:
[295] tax,break [292] help,poor [287] break,help [276] poor,went [274] superyacht,marina [270] trump,tax [267] went,rich [267] donor,s [266] s,superyacht [263] rich,gop Top Word Pairs in Tweet in G3:
[444] tax,break [426] superyacht,marina [268] trump,tax [244] real,florida [244] florida,man [244] man,story [244] story,rich [244] rich,guy [244] guy,lobbies [244] lobbies,gets Top Word Pairs in Tweet in G4:
[318] fact,trump [318] trump,organization [318] organization,probably [318] probably,violated [318] violated,foreign [318] foreign,corrupt [318] corrupt,practices [318] practices,act [318] act,multiple [318] multiple,countries Top Word Pairs in Tweet in G5:
[35] now,settle [35] settle,slightly [35] slightly,less [35] less,1200 [35] 1200,word [35] word,story [35] story,unearthed [35] unearthed,photo [34] mikespiesnyc,now [34] photo,ht Top Word Pairs in Tweet in G6:
[25] nerds,college [25] college,datagraphics [25] datagraphics,seeking [25] seeking,summer [25] summer,interns [25] interns,paid [25] paid,jobs [25] jobs,provide [25] provide,experience [25] experience,working Top Word Pairs in Tweet in G7:
[25] help,poor [24] tax,break [23] break,help [22] poor,went [18] rich,gop [17] went,rich [17] gop,donor [17] donor,s [17] s,superyacht [17] superyacht,marina Top Word Pairs in Tweet in G8:
[126] few,weeks [126] weeks,ago [126] ago,berniesanders [126] end,particular [126] particular,tax [126] tax,scam [124] davidsirota,few [124] berniesanders,declared [124] declared,president [124] president,end Top Word Pairs in Tweet in G9:
[112] nearly,1 [112] 1,million [111] kind,society [111] society,live [111] live,mother [111] mother,charged [111] charged,nearly [111] million,employer [111] employer,based [111] based,insurance Top Word Pairs in Tweet in G10:
[2] kgo2016,michaelsanewman [2] michaelsanewman,peaceisactive [2] peaceisactive,pwhitaker62 [2] pwhitaker62,david_magausa [2] david_magausa,tenn_guy [2] tenn_guy,jimbo_always [2] jimbo_always,hikernc [2] hikernc,ccinthemiddle Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: