The graph represents a network of 7,133 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, 04 February 2022 at 13:43 UTC.
The requested start date was Friday, 04 February 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 3-day, 18-hour, 51-minute period from Sunday, 30 January 2022 at 20:35 UTC to Thursday, 03 February 2022 at 15:27 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 : 7133
Unique Edges : 5060
Edges With Duplicates : 17116
Total Edges : 22176
Number of Edge Types : 5
Retweet : 5546
MentionsInRetweet : 8144
Mentions : 6633
Replies to : 955
Tweet : 898
Self-Loops : 955
Reciprocated Vertex Pair Ratio : 0.00745742215055931
Reciprocated Edge Ratio : 0.0148044413323997
Connected Components : 683
Single-Vertex Connected Components : 404
Maximum Vertices in a Connected Component : 5761
Maximum Edges in a Connected Component : 20421
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.465712
Graph Density : 0.000196510668738563
Modularity : 0.38843
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,133 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, 04 February 2022 at 13:43 UTC.
The requested start date was Friday, 04 February 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 3-day, 18-hour, 51-minute period from Sunday, 30 January 2022 at 20:35 UTC to Thursday, 03 February 2022 at 15:27 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:
[1345] hit,kid [1287] nypd,cop [1233] two,years [1214] years,ago [1191] saw,nypd [1190] ago,halloween [1190] halloween,wife [1190] wife,sarapekow [1190] sarapekow,saw [1190] cop,drive Top Word Pairs in Tweet in G1:
[393] stephen,ross [388] owner,stephen [288] federal,income [288] income,taxes [286] thread,miamidolphins [286] miamidolphins,owner [286] ross,paid [286] paid,federal [286] taxes,decade [286] decade,seems Top Word Pairs in Tweet in G2:
[1197] nypd,cop [1133] two,years [1132] hit,kid [1114] years,ago [1113] ago,halloween [1113] halloween,wife [1113] wife,sarapekow [1113] sarapekow,saw [1113] saw,nypd [1113] cop,drive Top Word Pairs in Tweet in G3:
[36] effort,leave [36] leave,coal [36] coal,behind [36] behind,teach [34] police,car [33] germany,effort [32] car,hit [31] hit,kid [31] halloween,2019 [31] quashing,move Top Word Pairs in Tweet in G4:
[62] vanitaguptacr,valdemings [62] valdemings,cbsmiami [62] cbsmiami,nbc6 [62] nbc6,miamiherald [62] miamiherald,mdspd [62] mdspd,myfdot [62] myfdot,mdcps [62] mdcps,cdcdirector [62] cdcdirector,fbimiamifl [61] zoe,callado Top Word Pairs in Tweet in G5:
[92] stephen,ross [88] dolphins,owner [83] owner,estate [83] estate,mogul [83] mogul,stephen [83] ross,trying [83] trying,take [83] take,advantage [83] advantage,losses [82] eisingerj,dolphins Top Word Pairs in Tweet in G6:
[48] effort,exit [48] exit,coal [45] biden's,climate [45] climate,push [45] push,sputtering [45] sputtering,senate [45] senate,germany's [45] germany's,effort [45] coal,looms [45] looms,large Top Word Pairs in Tweet in G7:
[61] roofing,magnate [61] magnate,diane [61] diane,hendricks [61] hendricks,gave [61] gave,250 [61] 250,000 [61] 000,trump's [61] trump's,pac [61] pac,lot [61] lot,money Top Word Pairs in Tweet in G8:
[4] indivisibleteam,propublica [3] dsa_housing,dsa_losangeles [3] dsa_losangeles,marvistavoice [3] seccardona,catherinelhamon [3] oversightdems,indivisibleteam [3] musk's,wealth [3] 14,billion [3] 2014,2018 [2] workingeastbay,housingnowca [2] housingnowca,asmgrayson Top Word Pairs in Tweet in G9:
[27] national,debt [19] donald,trump [18] trump,built [18] built,national [18] debt,big [18] big,before [18] before,pandemic [18] pandemic,ll [18] ll,weigh [18] weigh,down Top Word Pairs in Tweet in G10:
[30] pharmafactz,pharmalot [25] fiercepharma,pharminews [25] pharminews,pharmafactz [25] ekalpas,mrhealthnut [25] mrhealthnut,julia_lurie [22] mudkipizawesome,ghostmanagedmed [18] braincures,repkatieporter [16] jebkeiper,fiercepharma [15] pharmalot,ekalpas [15] pharmalot,mychalwilsonesq Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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:
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: