The graph represents a network of 5,380 Twitter users whose recent tweets contained "McCarthy geocode:38.88976913154021,-77.01132454465257,10mi", 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 Thursday, 05 January 2023 at 22:33 UTC.
The tweets in the network were tweeted over the 10-day, 2-hour, 34-minute period from Monday, 26 December 2022 at 18:50 UTC to Thursday, 05 January 2023 at 21:25 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 : 5380
Unique Edges : 5666
Edges With Duplicates : 11360
Total Edges : 17026
Number of Edge Types : 3
Tweet : 9968
Mentions : 4852
Replies to : 2206
Self-Loops : 9968
Reciprocated Vertex Pair Ratio : 0.00509722484425146
Reciprocated Edge Ratio : 0.0101427498121713
Connected Components : 1741
Single-Vertex Connected Components : 1403
Maximum Vertices in a Connected Component : 3059
Maximum Edges in a Connected Component : 12063
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.499113
Graph Density : 0.000183973057829878
Modularity : 0.312687
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,380 Twitter users whose recent tweets contained "McCarthy geocode:38.88976913154021,-77.01132454465257,10mi", 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 Thursday, 05 January 2023 at 22:33 UTC.
The tweets in the network were tweeted over the 10-day, 2-hour, 34-minute period from Monday, 26 December 2022 at 18:50 UTC to Thursday, 05 January 2023 at 21:25 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 : McCarthy geocode:38.88976913154021,-77.01132454465257,10mi
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:
[4019] kevin,mccarthy [753] house,speaker [605] mccarthy,speaker [518] speaker,house [451] jim,jordan [376] speaker,vote [326] against,mccarthy [307] byron,donalds [290] become,speaker [278] vote,mccarthy Top Word Pairs in Tweet in G1:
[1172] kevin,mccarthy [234] house,speaker [159] mccarthy,speaker [113] speaker,house [95] speaker,vote [94] jim,jordan [70] become,speaker [70] mccarthy,loses [68] vote,speaker [67] leader,kevin Top Word Pairs in Tweet in G2:
[772] kevin,mccarthy [163] mccarthy,speaker [149] gopleader,kevin [133] house,speaker [123] speaker,house [112] jim,jordan [103] speaker,vote [88] against,mccarthy [85] gopleader,mccarthy [73] byron,donalds Top Word Pairs in Tweet in G3:
[102] kevin,mccarthy [44] house,speaker [30] mccarthy,speaker [26] speaker,vote [25] cámara,representantes [19] speaker,house [19] ingresa,información [18] against,mccarthy [17] american,people [15] vote,mccarthy Top Word Pairs in Tweet in G4:
[285] kevin,mccarthy [57] mccarthy,speaker [50] against,mccarthy [40] votes,mccarthy [40] jim,jordan [39] house,speaker [35] vote,mccarthy [28] house,floor [28] mccarthy,allies [27] mccarthy,votes Top Word Pairs in Tweet in G5:
[197] kevin,mccarthy [27] jim,jordan [26] speaker,house [25] byron,donalds [25] house,speaker [25] rep,kevin [20] gop,rep [17] become,speaker [17] matt,gaetz [16] speaker,vote Top Word Pairs in Tweet in G6:
[71] kevin,mccarthy [30] against,mccarthy [18] votes,against [16] gop,votes [13] kevin,#mccarthy [12] mccarthy,speaker [10] jim,jordan [10] first,ballot [10] byron,donalds [9] vote,mccarthy Top Word Pairs in Tweet in G7:
[57] kevin,mccarthy [12] speaker,house [11] mccarthy,speaker [11] house,speaker [6] mccarthy,needs [5] mccarthy,appears [5] round,voting [4] votes,mccarthy [4] make,mccarthy [4] jim,jordan Top Word Pairs in Tweet in G8:
[3] tam_resist,tomwatzke [3] mledaloo,nashvilledeedee [3] bravo2papa,jnigoode [3] warriorwomandr,troym860 [3] alexper51573831,bravo2papa [3] zaiken64,wendilin10 [3] terryb600,alexper51573831 [3] nashvilledeedee,warriorwomandr [3] 2hugebrass,jjaxxajj [2] troym860,stevede00589901 Top Word Pairs in Tweet in G9:
[23] kevin,mccarthy [4] worth,much [4] mccarthy,lost [4] state,hack [4] deep,state [4] votes,mccarthy [3] wasn,worth [3] soul,guess [3] mccarthy,speaker [3] house,speaker Top Word Pairs in Tweet in G10:
[25] kevin,mccarthy [15] office,congressional [15] congressional,ethics [13] ethics,today [13] gutting,office [13] leadership,gutting [13] stop,leadership [12] mccarthy,speaker [11] please,stop [8] byron,donalds Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: