The graph represents a network of 2,422 Twitter users whose recent tweets contained "ncga", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 16:15 UTC.
The tweets in the network were tweeted over the 1494-day, 4-hour, 26-minute period from Wednesday, 30 January 2019 at 19:38 UTC to Sunday, 05 March 2023 at 00:05 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 2422
Unique Edges : 2113
Edges With Duplicates : 8413
Total Edges : 10526
Number of Edge Types : 8
Retweet : 2978
MentionsInRetweet : 4157
Mentions : 952
Tweet : 1161
Replies to : 342
MentionsInQuote : 288
Quote : 271
MentionsInReplyTo : 377
Self-Loops : 1569
Reciprocated Vertex Pair Ratio : 0.0387024608501119
Reciprocated Edge Ratio : 0.0745207839758777
Connected Components : 104
Single-Vertex Connected Components : 56
Maximum Vertices in a Connected Component : 2163
Maximum Edges in a Connected Component : 10025
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.135321
Graph Density : 0.000791825995427431
Modularity : 0.332511
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,422 Twitter users whose recent tweets contained "ncga", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 16:15 UTC.
The tweets in the network were tweeted over the 1494-day, 4-hour, 26-minute period from Wednesday, 30 January 2019 at 19:38 UTC to Sunday, 05 March 2023 at 00:05 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : ncga
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:
[790] #ncpol,#ncga [711] #ncga,#ncpol [594] north,carolina [340] medicaid,expansion [224] house,senate [178] #ncpol,#nc [176] bill,#ncpol [175] see,bill [175] #nc,#ncga [173] #ncga,free Top Word Pairs in Tweet in G1:
[260] #ncpol,#ncga [198] #ncga,#ncpol [124] north,carolina [123] medicaid,expansion [44] tim,moore [38] convention,states [37] house,speaker [34] senatorberger,nchousespeaker [34] speaker,tim [32] breaking,#ncga Top Word Pairs in Tweet in G2:
[177] #ncpol,#ncga [138] #ncga,#ncpol [103] medicaid,expansion [78] house,senate [76] north,carolina [63] #ncga,house [62] nc,house [52] audio,video [47] ncpolicywatch,#ncpol [46] health,care Top Word Pairs in Tweet in G3:
[173] #ncga,#ncpol [118] meeting,notice [117] committee,meeting [79] march,2023 [74] 00,room [68] pistol,purchase [66] sale,nc [66] nc,repealing [66] purchase,permit [66] actual,ad Top Word Pairs in Tweet in G4:
[51] anti,abortion [51] #ncpol,#ncga [51] introduce,anti [40] medicaid,expansion [30] vote,protects [30] abortion,legislation [30] #ncga,vote [30] protects,nc_governor's [30] tuesday,ncgop [30] legislation,#ncga Top Word Pairs in Tweet in G5:
[80] recommendations,increase [80] texas,task [80] year,studying [80] vacancy,crisis [80] address,teacher [80] spent,year [80] teacher,vacancy [80] force,spent [80] crisis,recommendations [80] studying,address Top Word Pairs in Tweet in G6:
[76] #nced,#ncpol [75] #ncpol,#ncga [56] north,carolina [36] state,board [34] board,education [28] #ncga,#ncpol [27] nc,house [22] filed,today [22] school,calendar [21] house,bill Top Word Pairs in Tweet in G7:
[173] see,bill [173] #nc,#ncga [172] #ncpol,#nc [172] nc,tracking [172] tracking,account [172] #ncga,free [172] free,nc [172] bill,#ncpol [148] filed,bill [120] house,see Top Word Pairs in Tweet in G8:
[92] house,senate [92] north,carolina [89] carolina,house [88] senate,finally [88] finally,agreed [88] expanding,medicaid [88] agreed,expanding [88] negotiations,north [88] years,negotiations [87] medicaid,#ncp Top Word Pairs in Tweet in G9:
[36] sure,house [36] house,legislators [36] removing,pistol [36] legislators,know [36] bill,removing [36] #hb50,bad [36] bad,bill [36] momsdemand,showing [36] nc,momsdemand [36] know,#hb50 Top Word Pairs in Tweet in G10:
[99] increase,access [95] access,quality [95] quality,affordable [94] helping,cut [94] tape,#saveact [94] red,tape [94] cut,outdated [94] outdated,red [94] #saveact,increase [88] affordable,healthcare Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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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 G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: