The graph represents a network of 4,883 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 Saturday, 16 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 23-hour, 51-minute period from Thursday, 14 November 2019 at 01:09 UTC to Friday, 15 November 2019 at 01:01 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 : 4883
Unique Edges : 6092
Edges With Duplicates : 1378
Total Edges : 7470
Number of Edge Types : 3
Mentions : 6186
Replies to : 340
Tweet : 944
Self-Loops : 944
Reciprocated Vertex Pair Ratio : 0.00718808831079925
Reciprocated Edge Ratio : 0.0142735768903993
Connected Components : 683
Single-Vertex Connected Components : 509
Maximum Vertices in a Connected Component : 3734
Maximum Edges in a Connected Component : 6242
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.07323
Graph Density : 0.000246866390875449
Modularity : 0.696142
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,883 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 Saturday, 16 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 23-hour, 51-minute period from Thursday, 14 November 2019 at 01:09 UTC to Friday, 15 November 2019 at 01:01 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:
[1822] tax,break [1546] superyacht,marina [1289] trump,tax [1255] poor,went [1175] donor,s [1172] gop,donor [1172] s,superyacht [1080] help,poor [1034] break,help [983] rich,gop Top Word Pairs in Tweet in G1:
[254] tax,break [176] rick,scott [175] gov,rick [160] randy,perkins [160] perkins,donated [160] donated,500 [160] 500,000 [160] 000,america [160] america,first [160] first,trump Top Word Pairs in Tweet in G2:
[305] tax,break [299] help,poor [294] break,help [281] poor,went [279] superyacht,marina [275] trump,tax [272] went,rich [271] donor,s [271] s,superyacht [268] gop,donor Top Word Pairs in Tweet in G3:
[256] fact,trump [256] trump,organization [256] organization,probably [256] probably,violated [256] violated,foreign [256] foreign,corrupt [256] corrupt,practices [256] practices,act [256] act,multiple [256] multiple,countries Top Word Pairs in Tweet in G4:
[283] tax,break [274] superyacht,marina [259] trump,tax [245] real,florida [245] florida,man [245] man,story [245] story,rich [245] rich,guy [245] guy,lobbies [245] lobbies,gets Top Word Pairs in Tweet in G5:
[265] tax,break [262] poor,went [260] gop,donor [260] donor,s [260] s,superyacht [259] break,help [259] help,poor [259] went,rich [259] rich,gop [258] trump,tax Top Word Pairs in Tweet in G6:
[224] tax,break [220] superyacht,marina [216] poor,went [210] gop,donor [210] donor,s [210] s,superyacht [204] trump,s [204] opportunity,zone [203] new,trump [203] s,opportunity Top Word Pairs in Tweet in G7:
[30] propublica,president [27] war,underway [27] underway,against [27] against,journalism [27] journalism,country [27] country,being [27] being,fought [27] fought,powerful [27] powerful,people [27] people,see Top Word Pairs in Tweet in G8:
[21] nerds,college [21] college,datagraphics [21] datagraphics,seeking [21] seeking,summer [21] summer,interns [21] interns,paid [21] paid,jobs [21] jobs,provide [21] provide,experience [21] experience,working Top Word Pairs in Tweet in G9:
[29] help,poor [27] tax,break [26] break,help [25] poor,went [21] rich,gop [20] went,rich [20] superyacht,marina [19] gop,donor [19] donor,s [19] s,superyacht Top Word Pairs in Tweet in G10:
[129] few,weeks [129] weeks,ago [129] ago,berniesanders [129] end,particular [129] particular,tax [129] tax,scam [127] davidsirota,few [127] berniesanders,declared [127] declared,president [127] president,end Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: