The graph represents a network of 7,065 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 October 2020 at 12:45 UTC.
The requested start date was Friday, 02 October 2020 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 1-day, 21-hour, 15-minute period from Wednesday, 30 September 2020 at 02:45 UTC to Friday, 02 October 2020 at 00:00 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 : 7065
Unique Edges : 3958
Edges With Duplicates : 12288
Total Edges : 16246
Number of Edge Types : 5
Mentions : 1642
Replies to : 760
Retweet : 5392
MentionsInRetweet : 7010
Tweet : 1442
Self-Loops : 1473
Reciprocated Vertex Pair Ratio : 0.00790177486019937
Reciprocated Edge Ratio : 0.0156796526353878
Connected Components : 1047
Single-Vertex Connected Components : 754
Maximum Vertices in a Connected Component : 5333
Maximum Edges in a Connected Component : 13882
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.491286
Graph Density : 0.000166128467338153
Modularity : 0.449135
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,065 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 October 2020 at 12:45 UTC.
The requested start date was Friday, 02 October 2020 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 1-day, 21-hour, 15-minute period from Wednesday, 30 September 2020 at 02:45 UTC to Friday, 02 October 2020 at 00:00 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[662] audits,poor [661] poor,more [661] more,affluent [660] congress,asked [660] asked,irs [659] affluent,response [659] response,doesn [657] irs,report [657] report,audits [652] propublica,congress Top Word Pairs in Tweet in G1:
[634] poor,more [633] congress,asked [633] asked,irs [633] irs,report [633] report,audits [633] audits,poor [633] more,affluent [633] affluent,response [633] response,doesn [631] propublica,congress Top Word Pairs in Tweet in G2:
[125] freddie,mac [122] wasn,massive [122] massive,came [122] came,unusually [122] unusually,good [122] good,terms [121] loan,wasn [120] kushners,freddie [120] mac,loan [111] 400,million Top Word Pairs in Tweet in G3:
[167] billion,dollars [167] dollars,prison [166] ericgarland,billion [81] investors,extracted [81] extracted,400 [81] 400,million [81] million,hospital [81] hospital,chain [81] chain,sometimes [81] sometimes,couldn Top Word Pairs in Tweet in G4:
[128] police,departments [118] justice,department [77] trump,administration [74] doj,during [74] during,trump [74] administration,significantly [74] significantly,backed [74] backed,mechanisms [74] mechanisms,hold [74] hold,local Top Word Pairs in Tweet in G5:
[23] hospital,chain [23] sometimes,couldn [23] couldn,pay [23] pay,medical [23] medical,supplies [23] supplies,gas [22] investors,extracted [22] extracted,400 [22] 400,million [22] million,hospital Top Word Pairs in Tweet in G6:
[55] one,showed [55] showed,isn [55] isn,article [55] article,indictment [55] indictment,alecmacgillis [54] alexnazaryan,one [42] remote,learning [25] disparity,stark [25] stark,many [25] many,cities Top Word Pairs in Tweet in G7:
[11] unusually,good [11] good,terms [11] defense,department [11] department,contractor [11] contractor,made [10] kushners,freddie [10] freddie,mac [10] mac,loan [10] loan,wasn [10] wasn,massive Top Word Pairs in Tweet in G8:
[61] lisassister,propublica [53] propublica,billion [53] billion,principle [53] principle,payment [53] payment,free [53] free,10 [53] 10,year [53] year,loans [53] loans,kushners [53] kushners,day Top Word Pairs in Tweet in G9:
[62] polluter,paradise [41] nina,mason [41] mason,pulliam [41] pulliam,award [38] series,earned [37] official,polluter [37] paradise,series [37] earned,sejorg [37] sejorg,nina [37] award,best Top Word Pairs in Tweet in G10:
[72] trump,vaccine [72] vaccine,czar [72] czar,refuses [72] refuses,give [72] give,stock [72] stock,drug [72] drug,company [72] company,involved [72] involved,government [72] government,role Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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