The graph represents a network of 202 Twitter users whose recent tweets contained "UKFtweets", 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 Wednesday, 23 June 2021 at 13:06 UTC.
The tweets in the network were tweeted over the 8-day, 6-hour, 55-minute period from Tuesday, 15 June 2021 at 05:30 UTC to Wednesday, 23 June 2021 at 12:25 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 : 205
Unique Edges : 469
Edges With Duplicates : 202
Total Edges : 671
Number of Edge Types : 5
Mentions : 285
Retweet : 102
MentionsInRetweet : 221
Replies to : 35
Tweet : 28
Self-Loops : 28
Reciprocated Vertex Pair Ratio : 0.0397614314115308
Reciprocated Edge Ratio : 0.0764818355640535
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 204
Maximum Edges in a Connected Component : 670
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.533051
Graph Density : 0.0125059780009565
Modularity : 0.520607
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 202 Twitter users whose recent tweets contained "UKFtweets", 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 Wednesday, 23 June 2021 at 13:06 UTC.
The tweets in the network were tweeted over the 8-day, 6-hour, 55-minute period from Tuesday, 15 June 2021 at 05:30 UTC to Wednesday, 23 June 2021 at 12:25 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 : UKFtweets
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:
[46] whose,members [26] last,time [26] cash,use [25] time,paid [25] paid,cash [25] cash,latest [25] latest,figures [25] figures,show [25] show,cash [25] use,plunged Top Word Pairs in Tweet in G1:
[26] last,time [26] cash,use [25] time,paid [25] paid,cash [25] cash,latest [25] latest,figures [25] figures,show [25] show,cash [25] use,plunged [25] plunged,35 Top Word Pairs in Tweet in G2:
[46] whose,members [23] perhaps,borisjohnson [23] borisjohnson,tell [23] tell,nfcc_firechiefs [23] nfcc_firechiefs,keep [23] keep,putting [23] putting,waking [23] waking,watches [23] watches,britishinsurers [23] britishinsurers,whose Top Word Pairs in Tweet in G3:
[4] ciigroup,pfsconf [4] pfsconf,amiihealth [4] amiihealth,bibabroker [4] bibabroker,actuarynews [4] actuarynews,claimssociety [4] claimssociety,brokingsociety [4] brokingsociety,mortgageprofs [4] mortgageprofs,official_ami [4] official_ami,afm_uk [4] afm_uk,uk_ilag Top Word Pairs in Tweet in G4:
[6] kuwait_moh,ahmadfx93 [6] ahmadfx93,abduluae502 [6] abduluae502,alpariukforex [6] alpariukforex,ukftweets [6] ukftweets,ukforex [6] ukforex,fpmrkt [6] fpmrkt,forextaa [5] fxsaudi11,saudimoh01 [5] saudimoh01,saudiahm [5] saudiahm,saudisaberlin Top Word Pairs in Tweet in G5:
[6] uk,finance [5] payment,markets [4] commercial,finance [4] #cityweek2021,begin [4] begin,three [4] three,day [4] day,virtual [4] virtual,summit [4] summit,partnership [4] partnership,tradegovuk Top Word Pairs in Tweet in G6:
[5] expect,nothing [5] nothing,less [5] less,given [5] given,ukftweets [5] ukftweets,grubby [5] grubby,fingerprints [5] fingerprints,over [5] over,formerly [5] formerly,bba [5] bba,corrupt Top Word Pairs in Tweet in G7:
[3] criminals,set [2] reject,refuse [2] refuse,ignore [2] ignore,requests [2] information,#takefive [2] cooperativebank,ukftweets [2] ukftweets,takefive [2] easy,criminals [2] set,fake [2] fake,adverts Top Word Pairs in Tweet in G10:
[2] yes,individual [2] individual,appeared [2] appeared,court [2] court,pleaded [2] pleaded,guilty [2] guilty,charges [2] charges,sentenced [2] sentenced,crown [2] crown,court [2] court,later 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 G7:
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 Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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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: