The graph represents a network of 2,169 Twitter users whose recent tweets contained ""@YouGov"", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 5,000 tweets. The network was obtained from Twitter on Tuesday, 18 February 2020 at 21:04 UTC.
The tweets in the network were tweeted over the 9-day, 15-hour, 32-minute period from Sunday, 09 February 2020 at 05:13 UTC to Tuesday, 18 February 2020 at 20:46 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 : 2169
Unique Edges : 3234
Edges With Duplicates : 2829
Total Edges : 6063
Self-Loops : 56
Reciprocated Vertex Pair Ratio : 0.0343854246856556
Reciprocated Edge Ratio : 0.0664847432398908
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 2169
Maximum Edges in a Connected Component : 6063
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.344226
Graph Density : 0.000857223302523482
Modularity : 0.431292
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 2,169 Twitter users whose recent tweets contained ""@YouGov"", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 5,000 tweets. The network was obtained from Twitter on Tuesday, 18 February 2020 at 21:04 UTC.
The tweets in the network were tweeted over the 9-day, 15-hour, 32-minute period from Sunday, 09 February 2020 at 05:13 UTC to Tuesday, 18 February 2020 at 20:46 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 : "@YouGov"
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Relationship
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[291] via,yougov [233] voting,intention [227] westminster,voting [226] 2,grn [224] 10,2 [223] intention,con [222] electionmapsuk,yougov [222] 2,via [220] lab,28 [220] grn,6 Top Word Pairs in Tweet in G1:
[246] via,yougov [199] voting,intention [197] 2,grn [197] westminster,voting [195] 10,2 [194] intention,con [193] lab,28 [193] grn,6 [193] 2,via [191] con,48 Top Word Pairs in Tweet in G2:
[219] electionmapsuk,yougov [33] romeocatboy,electionmapsuk [27] voting,intention [25] westminster,voting [25] intention,con [25] con,48 [25] lab,28 [25] 10,2 [25] 2,grn [25] grn,6 Top Word Pairs in Tweet in G3:
[147] yahoonews,yougov [87] yougov,poll [84] one,one [83] new,yahoonews [83] bernie,sanders [81] poll,shows [81] defeat,each [81] each,democratic [81] democratic,presidential [81] presidential,candidates Top Word Pairs in Tweet in G4:
[67] britainelects,yougov [17] yorkshirelad_87,britainelects [11] via,yougov [8] rigbycf,yorkshirelad_87 [7] simoncosgrove,britainelects [7] tonyfisherpuzls,britainelects [5] voting,intention [5] survey,labour [5] 13,15 [5] 15,jan Top Word Pairs in Tweet in G5:
[15] quinnipiacpoll,yougov [9] monmouthpoll,ppppolls [9] ppppolls,emersonpolling [9] emersonpolling,surveyusa [9] surveyusa,rasmussen_poll [9] rasmussen_poll,maristpoll [9] maristpoll,quinnipiacpoll [9] quinnipiacpoll,masondixonpoll [9] masondixonpoll,yougov [9] yougov,washingtonpost Top Word Pairs in Tweet in G6:
[8] yougov,ipsosmori [7] bbcnews,itvnews [7] itvnews,talking [7] talking,hs2 [7] hs2,north [7] north,ignore [7] ignore,pro [7] pro,hs2 [7] hs2,lobby [7] lobby,city Top Word Pairs in Tweet in G7:
[14] celebrity,cruises [14] celebrityuk,celebritycruise [11] very,proud [9] 'top,10 [9] 10,brands [9] brands,recommended [9] recommended,customers' [9] out,over [9] over,1 [9] 1,500 Top Word Pairs in Tweet in G8:
[33] rorkes55,aaronbastani [33] aaronbastani,christabelcoops [33] christabelcoops,keir_starmer [33] keir_starmer,uklabour [33] uklabour,emmabarnett [33] emmabarnett,bbc5live [33] bbc5live,bbcnewsnight [32] bbcnewsnight,yougov [20] janiete,rorkes55 [13] remain,parties Top Word Pairs in Tweet in G9:
[15] bfmtv,ifopopinion [12] de,la [12] ifopopinion,yougov [10] à,l'adhésion [10] l'adhésion,de [9] nette,amélioration [9] amélioration,de [9] de,l'opinion [9] l'opinion,des [9] des,britanniques Top Word Pairs in Tweet in G10:
[4] many,people [4] people,prepared [4] prepared,coronavirus [4] coronavirus,uk [4] uk,everyone [4] everyone,know [4] know,0 [4] 0,aware [4] aware,phe_uk [4] phe_uk,matthancock 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: