The graph represents a network of 8,410 Twitter users whose recent tweets contained "#GOPDeathPanels", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 24 March 2020 at 17:40 UTC.
The tweets in the network were tweeted over the 7-day, 17-hour, 22-minute period from Monday, 16 March 2020 at 22:50 UTC to Tuesday, 24 March 2020 at 16:13 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 : 8410
Unique Edges : 15368
Edges With Duplicates : 2095
Total Edges : 17463
Number of Edge Types : 5
Replies to : 3000
Retweet : 8174
MentionsInRetweet : 3191
Tweet : 1690
Mentions : 1408
Self-Loops : 1700
Reciprocated Vertex Pair Ratio : 0.00214405360134003
Reciprocated Edge Ratio : 0.00427893294109781
Connected Components : 813
Single-Vertex Connected Components : 652
Maximum Vertices in a Connected Component : 7332
Maximum Edges in a Connected Component : 16301
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.920428
Graph Density : 0.000211496967817591
Modularity : 0.549645
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 8,410 Twitter users whose recent tweets contained "#GOPDeathPanels", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 24 March 2020 at 17:40 UTC.
The tweets in the network were tweeted over the 7-day, 17-hour, 22-minute period from Monday, 16 March 2020 at 22:50 UTC to Tuesday, 24 March 2020 at 16:13 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 : TwitterSearch
Graph Term : #GOPDeathPanels
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:
[1639] willing,die [1590] right,thing [1582] rich,people's [1581] thing,#gopdeathpanels [1580] die,shitty [1580] shitty,job [1580] job,rich [1580] people's,grandkids [1580] grandkids,minimal [1580] minimal,interruptions Top Word Pairs in Tweet in G1:
[411] #notdying4wallstreet,#gopdeathpanels [331] gop,realdonaldtrump [321] minimum,wage [318] wall,street [318] pro,life [316] sacrifice,grandparents [314] poor,people [313] people,back [312] grandparents,poor [312] wage,benefits Top Word Pairs in Tweet in G2:
[516] goes,first [410] volunteer,die [407] #notdying4wallstreet,#gopdeathpanels [337] reopen,america [324] death,panels [295] die,economy [273] wall,street [265] pro,life [264] #covididiots,#gopdeathpanels [258] bellvisuals,goes Top Word Pairs in Tweet in G3:
[1150] willing,die [1149] die,shitty [1149] shitty,job [1149] job,rich [1149] rich,people's [1149] people's,grandkids [1149] grandkids,minimal [1149] minimal,interruptions [1149] interruptions,lifestyles [1149] lifestyles,right Top Word Pairs in Tweet in G4:
[24] #notdying4wallstreet,#gopdeathpanels [24] #gopdeathpanels,#notdying4wallstreet [20] death,panels [20] #gopdeathpanels,#notdyingforwallstreet [18] pro,life [16] #notdyingforwallstreet,#gopdeathpanels [15] #covid19,#gopdeathpanels [14] #gopdeathpanels,#trumpliesamericansdie [13] #gopdeathpanels,#covid19 [11] #covididiots,#gopdeathpanels Top Word Pairs in Tweet in G5:
[414] think,republican [414] republican,party [414] party,sink [414] sink,lower [414] lower,next [414] next,day [414] day,#gopdeathpanels [53] willing,die [53] die,shitty [53] shitty,job Top Word Pairs in Tweet in G6:
[381] people's,lives [283] die,#gopdeathpanels [274] make,more [274] health,insurance [274] open,country [273] dems,let's [273] let's,make [273] more,people [273] people,health [273] insurance,gop Top Word Pairs in Tweet in G7:
[73] #gopdeathpanels,#thegopisnotprolife [72] #thegopisnotprolife,make [72] make,trend [45] #gopdeathpanels,#gopdeathpanels [42] #gopslushfund,#gopdeathpanels [34] #trumpliesamericansdie,#presidentkevorkian [34] #presidentkevorkian,#trumpslushfund [34] #trumpslushfund,#trumptheworstpresidentever [34] #trumptheworstpresidentever,#trumpplague2020 [34] #trumpplague2020,#trumpdeathpanels Top Word Pairs in Tweet in G8:
[329] #notdying4wallstreet,#gopdeathpanels [298] death,panels [281] dan,patrick [278] hey,america [278] america,remember [278] remember,death [278] panels,back [278] back,time [278] time,headed [278] headed,trump Top Word Pairs in Tweet in G9:
[138] #gopdeathpanels,lying [138] lying,scumbag [138] scumbag,hashtags [138] hashtags,show [138] show,party [138] party,true [138] true,enemy [138] enemy,usa [138] usa,together [138] together,except Top Word Pairs in Tweet in G10:
[207] #generalstrike,#gopdeathpanels [206] ppe's,donate [206] donate,sewing [206] sewing,masks [206] masks,know [206] know,send [206] send,please [206] please,go [206] go,resources [206] resources,#notdying4wallstreet Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: