The graph represents a network of 3,439 Twitter users whose tweets in the requested range contained "horizonsnhs", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 20 August 2022 at 21:48 UTC.
The requested start date was Saturday, 20 August 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 110-day, 12-hour, 18-minute period from Sunday, 01 May 2022 at 06:27 UTC to Friday, 19 August 2022 at 18:45 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 : 3439
Unique Edges : 8023
Edges With Duplicates : 19939
Total Edges : 27962
Number of Edge Types : 5
Retweet : 3604
MentionsInRetweet : 8448
Replies to : 2123
Mentions : 13133
Tweet : 654
Self-Loops : 681
Reciprocated Vertex Pair Ratio : 0.103028734144447
Reciprocated Edge Ratio : 0.186810607838536
Connected Components : 32
Single-Vertex Connected Components : 19
Maximum Vertices in a Connected Component : 3370
Maximum Edges in a Connected Component : 27889
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.892554
Graph Density : 0.00108117187765631
Modularity : 0.258322
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 3,439 Twitter users whose tweets in the requested range contained "horizonsnhs", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 20 August 2022 at 21:48 UTC.
The requested start date was Saturday, 20 August 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 110-day, 12-hour, 18-minute period from Sunday, 01 May 2022 at 06:27 UTC to Friday, 19 August 2022 at 18:45 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 : GraphServerTwitterSearch
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:
[987] big,conversation [482] next,conversation [426] conversation,improvement [337] tweet,chat [294] great,team [293] helenbevan,today [292] looking,forward [289] today,putting [289] putting,together [289] together,materials Top Word Pairs in Tweet in G1:
[432] big,conversation [245] helenbevan,today [244] great,team [241] today,putting [241] putting,together [241] together,materials [241] materials,makes [241] makes,great [241] team,included [241] included,classic Top Word Pairs in Tweet in G2:
[370] big,conversation [192] conversation,improvement [160] next,conversation [142] thank,sharing [116] tweet,chat [106] emergency,care [103] urgent,emergency [90] looking,forward [72] horizonsnhs,team [66] shape,urgent Top Word Pairs in Tweet in G3:
[99] horizonsnhs,nhsleadership [70] nhsmillion,horizonsnhs [54] dan_collard1,nhsmillion [53] big,conversation [21] next,conversation [21] urgent,emergency [21] emergency,care [20] looking,forward [19] nhswhistleblowr,nhs_healthedeng [19] nhs_healthedeng,natguardianftsu Top Word Pairs in Tweet in G4:
[123] qi,evidence [123] evidence,update [122] 22,qi [100] read,qi [74] qi,articles [74] articles,research [62] update,read [56] tweet,chat [48] hot,press [39] update,fabnhsstuff Top Word Pairs in Tweet in G5:
[45] big,conversation [21] conversation,improvement [19] next,conversation [16] join,big [13] janey513,zoe_harris21 [13] people,living [12] breidobrien,janey513 [12] horizonsnhs,join [12] please,join [12] conversation,thursday Top Word Pairs in Tweet in G6:
[23] howlett_leanne,mvp_shrop_tw [23] mvp_shrop_tw,horizonsnhs [21] horizonsnhs,fwmaternity [20] rachyjc82,yvonnenewbold [19] kingstondoula,natmatvoicesorg [18] rosiebarrow9,kingstondoula [17] yvonnenewbold,howlett_leanne [17] natmatvoicesorg,fwmaternity [17] fwmaternity,claireflo [17] fwmaternity,acserrao76 Top Word Pairs in Tweet in G7:
[16] fmlm_uk,theihi [16] theihi,sanokondu [16] sanokondu,uob_bmls [16] uob_bmls,nhsleader [16] nhsleader,parthaskar [15] ramminay,fmlm_uk [9] horizonsnhs,mkchan_rcpsc [8] liquidthinker,mrjakehumphrey [8] mrjakehumphrey,ramminay [8] mkchan_rcpsc,jobusar Top Word Pairs in Tweet in G8:
[26] big,conversation [16] nhsengland,horizonsnhs [14] working,nhsengland [14] horizonsnhs,improve [14] improve,available [14] available,#data [14] #data,diagnostic [14] diagnostic,activity [11] aqua_nhs,working [10] tweet,chat Top Word Pairs in Tweet in G9:
[27] paulawindsor1,swasft [22] swasft,recruiting [22] recruiting,paramedics [22] paramedics,nurses [22] nurses,direct [22] direct,entry [22] entry,onto [22] onto,pathway [22] pathway,towards [22] towards,specialist Top Word Pairs in Tweet in G10:
[13] becksmcgeown,randallcath [13] randallcath,jamiewaterall [13] jamiewaterall,philipwinterbo1 [12] philipwinterbo1,roseempower [12] roseempower,lads_like_us [11] kennygibsonnhs,kellymarsden2 [11] kellymarsden2,saphnasharonobe [11] saphnasharonobe,becksmcgeown [4] lads_like_us,kellyshort84 [4] kellyshort84,nurse_jen Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G10: