The graph represents a network of 3,083 Twitter users whose recent tweets contained "horizonsnhs", 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 22:48 UTC.
The tweets in the network were tweeted over the 1897-day, 3-hour, 41-minute period from Friday, 24 November 2017 at 13:15 UTC to Friday, 03 February 2023 at 16:56 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 : 3083
Unique Edges : 6033
Edges With Duplicates : 23621
Total Edges : 29654
Number of Edge Types : 9
Retweet : 2945
MentionsInRetweet : 7882
MentionsInReplyTo : 11615
MentionsInQuote : 3150
Replies to : 1374
Quote : 582
Mentions : 1465
Tweet : 224
MentionsInQuoteReply : 417
Self-Loops : 899
Reciprocated Vertex Pair Ratio : 0.0950868276154172
Reciprocated Edge Ratio : 0.173660800618836
Connected Components : 8
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 3064
Maximum Edges in a Connected Component : 29625
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.212825
Graph Density : 0.00108842466369025
Modularity : 0.21952
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,083 Twitter users whose recent tweets contained "horizonsnhs", 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 22:48 UTC.
The tweets in the network were tweeted over the 1897-day, 3-hour, 41-minute period from Friday, 24 November 2017 at 13:15 UTC to Friday, 03 February 2023 at 16:56 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 : horizonsnhs
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:
[855] change,agents [788] school,change [334] agents,starts [326] jchristawoodley,ann_poppy [318] shaunlintern,bbcferguswalsh [317] bbcferguswalsh,mailonline [303] free,online [303] mailonline,lauradonnlee [296] ann_poppy,nhsengland [294] #preventionisbetterthancure,#forgotten500k Top Word Pairs in Tweet in G1:
[118] evidence,update [118] qi,evidence [105] heading,#home4noon [100] 22,qi [93] emergency,care [93] change,agents [92] school,change [92] urgent,emergency [88] qi,articles [78] hot,press Top Word Pairs in Tweet in G2:
[207] change,agents [189] school,change [88] week,live [81] wenurses,pauljsays [81] bevmatthewsrn,vin_diwakar [81] pauljsays,nhs_tt [81] bolaowolabi8,wenurses [81] vin_diwakar,bwchboss [80] bwchboss,bolaowolabi8 [80] nhs_tt,nhsengland Top Word Pairs in Tweet in G3:
[242] change,agents [235] school,change [221] free,online [221] agents,starts [186] helenbevan,school [130] online,brilliant [130] brilliant,learning [97] starts,nov [97] learning,experience [97] nov,free Top Word Pairs in Tweet in G4:
[265] change,agents [228] school,change [53] agents,starts [49] 7th,november [45] agents,back [41] date,diary [35] november,2022 [34] we've,exciting [34] 2022,school [34] back,sign Top Word Pairs in Tweet in G5:
[318] shaunlintern,bbcferguswalsh [317] bbcferguswalsh,mailonline [303] mailonline,lauradonnlee [294] #preventionisbetterthancure,#forgotten500k [282] #forgotten500k,shaunlintern [281] lauradonnlee,denis_campbell [173] horizonsnhs,lizzie_parry1 [173] lizzie_parry1,emilymorganitv [173] denis_campbell,horizonsnhs [172] emilymorganitv,vsmacdonald Top Word Pairs in Tweet in G6:
[322] jchristawoodley,ann_poppy [292] ann_poppy,nhsengland [288] nhsengland,nhsleadership [250] nhsleadership,horizonsnhs [216] horizonsnhs,nhs_healthedeng [201] nhs_healthedeng,johnamaechi [152] realplc,jchristawoodley [130] penbat1,realplc [111] juliala52988125,penbat1 [81] juliala52988125,realplc Top Word Pairs in Tweet in G7:
[18] kingstondoula,natmatvoicesorg [17] rosiebarrow9,kingstondoula [16] natmatvoicesorg,fwmaternity [16] fwmaternity,claireflo [14] tuesday,23rd [14] 23rd,please [14] bring,friends [14] friends,colleagues [14] time,spare [14] join,bring Top Word Pairs in Tweet in G8:
[14] please,share [10] sonia_sparkles,captures [10] difference,please [10] make,difference [10] overlooked,make [10] simple,overlooked [10] incredibly,simple [10] share,ask [10] well,incredibly [10] captures,well Top Word Pairs in Tweet in G9:
[11] nhslincsicb,horizonsnhs [7] dhscgovuk,tlap1 [7] lincsnhs,dhscgovuk [7] horizonsnhs,lincsnhs [7] pers_care,nhslincsicb [6] services,review [6] response,service [6] review,kirpreem [6] respiratory,services [6] lincolnshire,rapid Top Word Pairs in Tweet in G10:
[22] nhs,lg_nhs [20] lg_nhs,nhscommsjoe [18] nhsengland,nhs [12] systems,convening [11] nhscommsjoe,nhsleader [9] oka1stella,horizonsnhs [9] horizonsnhs,nhsengland [9] nhs_icb,nhsengland [9] nhs_cityhackney,nhs_icb [9] nhssoutheast,nhsbartshealth Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: