The graph represents a network of 9,008 Twitter users whose recent tweets contained "list:TwitterGov/uk-mps", 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 Saturday, 02 November 2019 at 10:29 UTC.
The tweets in the network were tweeted over the 5-day, 11-hour, 25-minute period from Sunday, 27 October 2019 at 21:52 UTC to Saturday, 02 November 2019 at 09:18 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 : 9008
Unique Edges : 20147
Edges With Duplicates : 18219
Total Edges : 38366
Number of Edge Types : 4
Retweet : 9961
Tweet : 6527
Mentions : 18431
Replies to : 3447
Self-Loops : 6724
Reciprocated Vertex Pair Ratio : 0.083139341536415
Reciprocated Edge Ratio : 0.153515505066012
Connected Components : 11
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 8987
Maximum Edges in a Connected Component : 38323
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.990079
Graph Density : 0.000281000607185136
Modularity : 0.405341
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 9,008 Twitter users whose recent tweets contained "list:TwitterGov/uk-mps", 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 Saturday, 02 November 2019 at 10:29 UTC.
The tweets in the network were tweeted over the 5-day, 11-hour, 25-minute period from Sunday, 27 October 2019 at 21:52 UTC to Saturday, 02 November 2019 at 09:18 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 : list:TwitterGov/uk-mps
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:
[1181] general,election [838] boris,johnson [370] register,vote [326] jeremy,corbyn [282] prime,minister [264] make,sure [254] real,change [232] lib,dems [232] trade,deal [210] lib,dem Top Word Pairs in Tweet in G1:
[491] general,election [474] boris,johnson [197] register,vote [196] real,change [168] trade,deal [126] make,sure [110] donald,trump [107] labour,government [106] time,real [104] nhs,trump Top Word Pairs in Tweet in G2:
[238] general,election [143] brexit,done [112] jeremy,corbyn [89] find,out [77] 20,000 [70] out,more [69] prime,minister [69] pm,borisjohnson [60] great,see [58] people's,priorities Top Word Pairs in Tweet in G3:
[249] general,election [211] boris,johnson [102] jeremy,corbyn [97] stop,brexit [95] prime,minister [86] make,sure [81] register,vote [54] lib,dems [54] liberal,democrats [53] lib,dem Top Word Pairs in Tweet in G4:
[42] general,election [20] boris,johnson [12] jaymitchinson,iandaypix [11] lib,dems [10] register,vote [9] clive,lewis [8] prime,minister [8] labour,government [8] real,change [8] year,olds Top Word Pairs in Tweet in G5:
[23] general,election [16] boris,johnson [11] liberal,democrats [10] average,age [10] years,mp [10] reilly6363,rorystewartuk [9] build,brighter [9] lib,dem [9] standing,down [9] women's,health Top Word Pairs in Tweet in G6:
[75] plaid,cymru [37] general,election [30] san,steffan [22] yr,etholiad [20] etholiad,cyffredinol [17] register,vote [14] back,wales [14] yn,yr [13] vote,plaid_cymru [13] boris,johnson Top Word Pairs in Tweet in G7:
[21] sinn,féin [18] election,opportunity [17] irish,unity [16] opportunity,reject [15] north,belfast [14] reject,brexit [12] register,vote [9] northern,ireland [9] new,ireland [8] colin,harvey Top Word Pairs in Tweet in G8:
[18] general,election [15] child,marriage [14] west,midlands [9] put,labour [9] labour,values [8] cross,party [7] time,real [7] real,change [7] find,out [7] boris,johnson Top Word Pairs in Tweet in G9:
[28] skynews,borisjohnson [26] borisjohnson,kayburley [7] general,election [6] political,consultants [6] thank,much [5] thanks,much [5] kitty_donaldson,kayburley [5] kayburley,borisjohnson [5] borisjohnson,skynews [5] maternity,leave Top Word Pairs in Tweet in G10:
[10] general,election [8] parliament,uk [7] gujarati,community [6] harrow,west [5] looking,forward [4] vote,labour [4] #dagenham,#rainham [4] wrong,abuse [4] abuse,shame [4] shame,jewish 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: