The graph represents a network of 5,538 Twitter users whose recent tweets contained "#GunLawsSaveLives", 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 Monday, 02 December 2019 at 17:55 UTC.
The tweets in the network were tweeted over the 9-day, 1-hour, 24-minute period from Saturday, 23 November 2019 at 15:58 UTC to Monday, 02 December 2019 at 17:23 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 : 5538
Unique Edges : 16852
Edges With Duplicates : 11844
Total Edges : 28696
Self-Loops : 644
Reciprocated Vertex Pair Ratio : 0.00904977375565611
Reciprocated Edge Ratio : 0.0179372197309417
Connected Components : 283
Single-Vertex Connected Components : 233
Maximum Vertices in a Connected Component : 5114
Maximum Edges in a Connected Component : 28238
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.807001
Graph Density : 0.000632698260945621
Modularity : 0.323903
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,538 Twitter users whose recent tweets contained "#GunLawsSaveLives", 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 Monday, 02 December 2019 at 17:55 UTC.
The tweets in the network were tweeted over the 9-day, 1-hour, 24-minute period from Saturday, 23 November 2019 at 15:58 UTC to Monday, 02 December 2019 at 17:23 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 : #GunLawsSaveLives
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[8124] supreme,court [5440] gun,safety [3956] safety,laws [2102] nra,s [1805] roll,back [1621] gun,violence [1404] d,c [1307] against,nra [1166] gun,laws [1163] bradybuzz,amarch4ourlives Top Word Pairs in Tweet in G1:
[2329] supreme,court [983] gun,safety [665] gun,violence [602] bradybuzz,amarch4ourlives [595] outside,supreme [562] safety,laws [519] send,message [498] message,#gunlawssavelives [495] right,shot [401] court,needs Top Word Pairs in Tweet in G2:
[1310] gun,safety [1246] supreme,court [713] safety,laws [541] nra,s [495] #gunlawssavelives,#gunlawssavelives [343] common,sense [343] sense,gun [329] safety,measures [291] bradybuzz,amarch4ourlives [274] giffords,bradybuzz Top Word Pairs in Tweet in G3:
[2969] supreme,court [2036] gun,safety [1705] safety,laws [1130] nra,s [879] d,c [792] roll,back [791] #gunlawssavelives,everytown [781] court,d [772] c,today [755] against,nra Top Word Pairs in Tweet in G4:
[725] supreme,court [441] gun,safety [350] safety,laws [290] roll,back [271] standing,up [271] text,scotus [271] scotus,644 [271] 644,33 [268] court,hear [266] 2,supreme Top Word Pairs in Tweet in G5:
[424] supreme,court [384] gun,safety [374] safety,laws [353] 2nd,amendment [352] hundreds,gun [350] 10,years [347] years,ago [347] regulations,constitutional [346] s,stake [346] shouldn,t Top Word Pairs in Tweet in G6:
[396] supreme,court [266] gun,safety [237] safety,laws [164] nra,s [154] against,nra [144] d,c [132] court,d [130] roll,back [127] c,today [112] attempt,roll Top Word Pairs in Tweet in G7:
[38] gun,laws [19] save,lives [10] second,amendment [8] don,t [8] law,abiding [8] saves,lives [7] #gunlawssavelives,trending [7] gun,control [6] laws,save [6] gun,free Top Word Pairs in Tweet in G8:
[49] gun,laws [33] boxersforlife,saddest [33] saddest,thing [33] thing,tweet [33] tweet,phrase [33] phrase,know [33] know,#gunlawssavelives [33] #gunlawssavelives,valid [33] valid,statistics [33] statistics,support Top Word Pairs in Tweet in G9:
[10] faithcampbellj1,bradbeauregardj [10] bradbeauregardj,xtraferocity [10] xtraferocity,jresists1 [10] jresists1,maltomash [10] maltomash,drwineau [10] drwineau,davematt88 [10] davematt88,roc_dc_kte [10] roc_dc_kte,hazydav [10] hazydav,iammultiversal [10] iammultiversal,ziggiezaggie Top Word Pairs in Tweet in G10:
[28] know,really [28] really,reduce [28] reduce,gun [28] gun,violence [28] violence,america [28] america,bullets [28] bullets,cost [28] cost,much [28] much,insulin [28] insulin,#gunlawssavelives 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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Top Tweeters in G10: