The graph represents a network of 7,414 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, 17 September 2021 at 12:40 UTC.
The requested start date was Friday, 17 September 2021 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 2-day, 6-hour, 32-minute period from Tuesday, 14 September 2021 at 17:27 UTC to Friday, 17 September 2021 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 : 7414
Unique Edges : 6795
Edges With Duplicates : 14110
Total Edges : 20905
Number of Edge Types : 5
Retweet : 4467
MentionsInRetweet : 5864
Tweet : 911
Replies to : 2218
Mentions : 7445
Self-Loops : 938
Reciprocated Vertex Pair Ratio : 0.0119296412399861
Reciprocated Edge Ratio : 0.0235780053351691
Connected Components : 776
Single-Vertex Connected Components : 501
Maximum Vertices in a Connected Component : 5832
Maximum Edges in a Connected Component : 18859
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.888597
Graph Density : 0.00021144475629559
Modularity : 0.450696
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,414 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, 17 September 2021 at 12:40 UTC.
The requested start date was Friday, 17 September 2021 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 2-day, 6-hour, 32-minute period from Tuesday, 14 September 2021 at 17:27 UTC to Friday, 17 September 2021 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:
[1361] propublica,cbsnews [1361] cbsnews,nytimes [1345] aoc,propublica [1270] covid,patients [964] waited,hours [963] year,old [958] 12,year [824] appendicitis,overwhelmed [797] went,covid [762] appendix,burst Top Word Pairs in Tweet in G1:
[227] covid,patients [174] non,covid [130] critically,ill [124] delta,variant [88] propublica,dr [82] six,hours [71] patients,paying [71] icu,bed [70] dr,kakli [70] kakli,told Top Word Pairs in Tweet in G2:
[1357] propublica,cbsnews [1357] cbsnews,nytimes [1335] aoc,propublica [191] _aaronklein_,aoc [81] lamalamaredpjma,_aaronklein_ [76] paulsorrentino3,aoc [75] bustersonoma,aoc [71] racquinox,lamalamaredpjma [60] kjeveryday,_aaronklein_ [54] nep___nep,kjeveryday Top Word Pairs in Tweet in G3:
[576] covid,patients [567] 12,year [567] year,old [567] old,appendicitis [567] appendicitis,overwhelmed [567] overwhelmed,unvaccinated [567] unvaccinated,covid [567] patients,wait [567] wait,hours [566] lelepeche,12 Top Word Pairs in Tweet in G4:
[197] boy,went [197] appendix,burst [196] waited,hours [194] swamped,waited [194] hours,appendix [193] went,covid [193] covid,swamped [51] burst,propublica [38] beat,repeatedly [38] repeatedly,family Top Word Pairs in Tweet in G5:
[243] propublica,exposed [243] exposed,fact [242] fact,wealthy [234] paying,taxes [221] wealthy,paying [213] taxes,therefore [114] therefore,people [71] long,secret [71] secret,fbi [71] fbi,report Top Word Pairs in Tweet in G6:
[152] hospitals,overwhelmed [98] wait,times [97] times,measured [97] measured,days [83] go,again [83] again,idaho's [83] idaho's,hospitals [83] overwhelmed,state [83] state,issued [83] issued,emergency Top Word Pairs in Tweet in G7:
[267] covid,mass [267] mass,casualty [267] casualty,event [267] event,swamps [267] swamps,hospitals [267] hospitals,one [267] one,doesn [267] doesn,end [267] end,completely [267] completely,preventable Top Word Pairs in Tweet in G8:
[58] income,taxes [57] taxes,billionaires [57] billionaires,pay [57] pay,inheritance [57] inheritance,taxes [56] motherjones,income [18] guardian,propublica [16] propublica,benioff [16] benioff,salesforce [15] salesforce,billgates Top Word Pairs in Tweet in G9:
[237] went,covid [237] waited,hours [236] boy,went [236] covid,swamped [236] swamped,waited [236] hours,appendix [236] appendix,burst [228] burst,propublica [222] safetypindaily,boy [22] reporting,climate Top Word Pairs in Tweet in G10:
[213] covid,patients [209] 12,year [209] year,old [209] appendicitis,overwhelmed [208] old,florida [208] florida,boy [208] boy,appendicitis [208] overwhelmed,covid [208] patients,waited [208] waited,hours Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: