The graph represents a network of 6,631 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, 07 October 2022 at 13:10 UTC.
The requested start date was Friday, 07 October 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 3-day, 16-hour, 43-minute period from Sunday, 02 October 2022 at 22:52 UTC to Thursday, 06 October 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 : 6631
Unique Edges : 4710
Edges With Duplicates : 15275
Total Edges : 19985
Number of Edge Types : 5
Replies to : 1189
Retweet : 5260
MentionsInRetweet : 7442
Tweet : 979
Mentions : 5115
Self-Loops : 1058
Reciprocated Vertex Pair Ratio : 0.018575511101341
Reciprocated Edge Ratio : 0.036473508147189
Connected Components : 693
Single-Vertex Connected Components : 423
Maximum Vertices in a Connected Component : 5234
Maximum Edges in a Connected Component : 18220
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.588649
Graph Density : 0.000210788351162884
Modularity : 0.39591
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 6,631 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, 07 October 2022 at 13:10 UTC.
The requested start date was Friday, 07 October 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 3-day, 16-hour, 43-minute period from Sunday, 02 October 2022 at 22:52 UTC to Thursday, 06 October 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:
[424] cdc,scientist [235] monkeypox,treatment [209] search,warrants [187] national,debt [180] tiktok,investor [180] recent,years [179] billionaire,tiktok [179] investor,spent [179] spent,more [179] more,100m Top Word Pairs in Tweet in G1:
[154] billionaire,tiktok [154] tiktok,investor [154] investor,spent [154] spent,more [154] more,100m [154] 100m,election [154] election,campaigns [154] campaigns,recent [154] recent,years [154] years,money Top Word Pairs in Tweet in G2:
[89] knock,warrants [86] cdc,scientist [53] search,warrants [50] scientist,couldn [49] scrutiny,knock [49] couldn,monkeypox [44] family,courts [38] warrants,police [38] police,mississippi [38] mississippi,use Top Word Pairs in Tweet in G3:
[48] search,warrants [46] cdc,scientist [43] mississippi,missing [43] missing,search [43] warrants,prevent [43] prevent,scrutiny [43] scrutiny,knock [43] knock,raids [42] monkeypox,treatment [38] scientist,couldn Top Word Pairs in Tweet in G4:
[86] rt_com,cbseveningnews [86] cbseveningnews,abc [86] abc,nbcnews [86] nbcnews,msnbc [86] msnbc,ajenglish [65] channelnewsasia,rt_com [63] cnn,channelnewsasia [61] trt,ap [54] ajenglish,aljazeeraworld [54] aljazeeraworld,afp Top Word Pairs in Tweet in G5:
[78] 73snangel,gopleader [31] national,debt [28] 23,500 [27] gop,trump [27] trump,increased [27] increased,national [27] debt,trillion [27] trillion,23 [27] 500,federal [27] federal,debt Top Word Pairs in Tweet in G6:
[150] confusion,around [149] very,very [149] very,worried [149] worried,confusion [149] around,covid [149] covid,result [149] result,poor [149] poor,cdc [148] michaelmina_lab,very [148] cdc,commu Top Word Pairs in Tweet in G7:
[131] cdc,scientist [81] astounding,story [81] story,one [81] one,person [81] person,black [81] black,gay [81] gay,cdc [81] scientist,being [81] being,unable [81] unable,monkeypox Top Word Pairs in Tweet in G8:
[40] national,debt [29] donald,trump [27] built,national [27] debt,big [26] trump,built [26] big,before [26] before,pandemic [26] economy,years [25] pandemic,ll [25] ll,weigh Top Word Pairs in Tweet in G9:
[23] wow,resource [22] corinne_podger,wow [21] raids,compounds [19] stepped,raids [19] compounds,alleged [19] alleged,house [19] house,workers [13] workers,engaging [13] engaging,online [13] online,fraud Top Word Pairs in Tweet in G10:
[20] propublica,nytimes [19] propublica,announcement [19] announcement,comes [19] comes,three [19] three,months [19] months,investigation [19] investigation,propublica [19] nytimes,examined [19] examined,high [19] high,debt 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:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: