The graph represents a network of 3,522 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, 27 August 2022 at 21:48 UTC.
The requested start date was Saturday, 27 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 114-day, 0-hour, 20-minute period from Wednesday, 04 May 2022 at 23:18 UTC to Friday, 26 August 2022 at 23:38 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 : 3522
Unique Edges : 8309
Edges With Duplicates : 21939
Total Edges : 30248
Number of Edge Types : 5
Mentions : 14433
Replies to : 2248
Retweet : 3701
MentionsInRetweet : 9223
Tweet : 643
Self-Loops : 681
Reciprocated Vertex Pair Ratio : 0.103385330235646
Reciprocated Edge Ratio : 0.18739660099263
Connected Components : 31
Single-Vertex Connected Components : 19
Maximum Vertices in a Connected Component : 3455
Maximum Edges in a Connected Component : 30176
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.889519
Graph Density : 0.00107233616230741
Modularity : 0.250241
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 3,522 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, 27 August 2022 at 21:48 UTC.
The requested start date was Saturday, 27 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 114-day, 0-hour, 20-minute period from Wednesday, 04 May 2022 at 23:18 UTC to Friday, 26 August 2022 at 23:38 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:
[907] big,conversation [482] next,conversation [371] conversation,improvement [319] tweet,chat [294] great,team [293] helenbevan,today [289] today,putting [289] putting,together [289] together,materials [289] materials,makes Top Word Pairs in Tweet in G1:
[402] big,conversation [242] helenbevan,today [241] next,conversation [241] great,team [238] today,putting [238] putting,together [238] together,materials [238] materials,makes [238] makes,great [238] team,included Top Word Pairs in Tweet in G2:
[313] big,conversation [159] conversation,improvement [155] next,conversation [142] thank,sharing [101] tweet,chat [89] emergency,care [86] urgent,emergency [84] looking,forward [74] horizonsnhs,team [61] 28,june Top Word Pairs in Tweet in G3:
[143] jchristawoodley,ann_poppy [143] ann_poppy,nhsengland [143] nhsengland,nhsleadership [133] nhsleadership,horizonsnhs [105] horizonsnhs,nhs_healthedeng [92] nhs_healthedeng,johnamaechi [68] horizonsnhs,nhsleadership [60] realplc,jchristawoodley [55] penbat1,realplc [52] sillyoldjen,jchristawoodley Top Word Pairs in Tweet in G4:
[138] qi,evidence [138] evidence,update [137] 22,qi [104] read,qi [79] qi,articles [79] articles,research [65] update,read [58] hot,press [56] tweet,chat [42] june,22 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] horizonsnhs,join [12] breidobrien,janey513 [12] please,join [12] conversation,thursday Top Word Pairs in Tweet in G6:
[11] nhslincsicb,horizonsnhs [7] pers_care,nhslincsicb [7] horizonsnhs,lincsnhs [7] lincsnhs,dhscgovuk [7] dhscgovuk,tlap1 [6] peer,leader [6] orthoptic,team [6] ninajaspalcnp,seacolestatue [6] seacolestatue,nhsleadership [6] nhsleadership,nhsuhcw 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] helenbevan,horizonsnhs [9] horizonsnhs,mkchan_rcpsc [8] respdietitians,londonahps [8] mountfordjames,helenbevan Top Word Pairs in Tweet in G8:
[31] big,conversation [15] nhsengland,horizonsnhs [13] working,nhsengland [13] horizonsnhs,improve [13] improve,available [13] available,#data [13] #data,diagnostic [13] diagnostic,activity [10] tweet,chat [10] aqua_nhs,working Top Word Pairs in Tweet in G9:
[28] paulawindsor1,swasft [23] swasft,recruiting [23] recruiting,paramedics [23] paramedics,nurses [23] nurses,direct [23] direct,entry [23] entry,onto [23] onto,pathway [23] pathway,towards [23] 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:
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: