The graph represents a network of 7,455 Twitter users whose recent tweets contained "Congress geocode:39.82821246280293,-98.57948307664954,2500km", 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 Friday, 06 January 2023 at 18:36 UTC.
The tweets in the network were tweeted over the 3-hour, 36-minute period from Friday, 06 January 2023 at 14:38 UTC to Friday, 06 January 2023 at 18:15 UTC.
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 : 7455
Unique Edges : 7008
Edges With Duplicates : 1092
Total Edges : 8100
Number of Edge Types : 3
Replies to : 2919
Tweet : 2379
Mentions : 2802
Self-Loops : 2379
Reciprocated Vertex Pair Ratio : 0.00298118129308739
Reciprocated Edge Ratio : 0.00594464053501765
Connected Components : 2662
Single-Vertex Connected Components : 1814
Maximum Vertices in a Connected Component : 2928
Maximum Edges in a Connected Component : 3887
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.0999
Graph Density : 9.68695636838651E-05
Modularity : 0.727316
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 7,455 Twitter users whose recent tweets contained "Congress geocode:39.82821246280293,-98.57948307664954,2500km", 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 Friday, 06 January 2023 at 18:36 UTC.
The tweets in the network were tweeted over the 3-hour, 36-minute period from Friday, 06 January 2023 at 14:38 UTC to Friday, 06 January 2023 at 18:15 UTC.
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 : Congress geocode:39.82821246280293,-98.57948307664954,2500km
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[348] members,congress [153] member,congress [145] two,years [130] matt,gaetz [116] speaker,house [114] kevin,mccarthy [107] american,people [104] years,ago [103] traitors,congress [99] jack,smith Top Word Pairs in Tweet in G1:
[124] members,congress [97] traitors,congress [96] congress,asap [96] jack,smith [94] smith,indict [94] indict,remove [94] swore,uphold [94] trump,traitors [94] garland,jack [94] constitution,swore Top Word Pairs in Tweet in G2:
[20] members,congress [16] kevin,mccarthy [14] member,congress [12] congress,members [12] american,people [10] holding,congress [10] repmattgaetz,uscapitol [9] two,years [8] resign,congress [8] moderate,republican Top Word Pairs in Tweet in G3:
[11] members,congress [6] listen,people [6] member,congress [5] potus,speakerpelosi [5] 3355,time [5] opposes,#slaughter [5] american,people [5] population,opposes [5] american,population [5] save,safe Top Word Pairs in Tweet in G4:
[21] repswalwell,repralphnorman [14] members,congress [9] two,years [9] member,congress [7] cspan,repjeffries [6] feet,away [6] congress,members [5] made,choice [5] years,ago [5] matt,gaetz Top Word Pairs in Tweet in G5:
[32] states,mailed [32] votes,49 [32] hard,validate [32] errors,lack [32] transparency,tallying [32] congress,states [32] mailed,ballots [32] addressed,congress [32] lack,transparency [32] electoral,colleges Top Word Pairs in Tweet in G6:
[11] speaker,house [10] pay,salaries [10] house,turmoil [10] turmoil,exactly [10] salaries,same [10] current,speaker [10] same,job [10] save,taxpayers [10] congress,wh [10] republic,alone Top Word Pairs in Tweet in G7:
[5] term,limits [3] biden,harris [3] jan,2023 [3] defendants,congress [3] decertified,dismissed [3] supreme,court [3] congress,decertified [3] virtually,unknown [3] members,congress [3] successful,biden Top Word Pairs in Tweet in G8:
[70] more,federal [35] federal,spending [35] halt,failure [35] employees,good [35] federal,employees [35] politicians,musk [35] fired,twitter [35] actions,congress [35] congress,federal [35] bringing,corrupt Top Word Pairs in Tweet in G9:
[5] longer,congress [4] january,6th [4] adamkinzinger,cnn [4] mitchellreports,stevekornacki [4] stevekornacki,msnbc [4] cfaller96,mitchellreports [3] still,congress [3] congress,anymore [3] two,years [3] benjaminwittes,liz_cheney Top Word Pairs in Tweet in G10:
[11] years,jan [10] congress,again [10] speaker,scrap [10] again,ap [10] jan,speaker [8] members,congress [7] scrap,paralyzes [7] paralyzes,congress [6] secret,service [5] speaker,house 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: