The graph represents a network of 3,586 Twitter users whose recent tweets were included in a list (Tweet ID List - quality2017 remapped (March 2021)) of 31173 tweet IDs, or who were replied to or mentioned in those tweets. 20788 out of 31173 tweets were collected. The network was obtained from Twitter on Sunday, 14 March 2021 at 10:24 UTC.
The tweets in the network were tweeted over the 9-day, 8-hour, 58-minute period from Wednesday, 19 April 2017 at 07:02 UTC to Friday, 28 April 2017 at 16:01 UTC.
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 : 3586
Unique Edges : 9872
Edges With Duplicates : 33955
Total Edges : 43827
Self-Loops : 3552
Reciprocated Vertex Pair Ratio : 0.0724277683357302
Reciprocated Edge Ratio : 0.13507253443862
Connected Components : 167
Single-Vertex Connected Components : 116
Maximum Vertices in a Connected Component : 3343
Maximum Edges in a Connected Component : 43521
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.137214
Graph Density : 0.00127615451690714
Modularity : 0.200356
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 3,586 Twitter users whose recent tweets were included in a list (Tweet ID List - quality2017 remapped (March 2021)) of 31173 tweet IDs, or who were replied to or mentioned in those tweets. 20788 out of 31173 tweets were collected. The network was obtained from Twitter on Sunday, 14 March 2021 at 10:24 UTC.
The tweets in the network were tweeted over the 9-day, 8-hour, 58-minute period from Wednesday, 19 April 2017 at 07:02 UTC to Friday, 28 April 2017 at 16:01 UTC.
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 : TwitterIDList
Graph Term : Tweet ID List - quality2017 remapped (March 2021)
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[821] qualityforum,#quality2017 [349] joy,work [321] jasonleitch,derekfeeleyihi [293] looking,forward [281] quality,improvement [266] #quality2017,jasonleitch [245] #quality2017,qualityforum [218] margaret,murphy [215] complex,problems [207] patient,safety Top Word Pairs in Tweet in G1:
[136] jasonleitch,derekfeeleyihi [122] #quality2017,jasonleitch [121] fires,up [118] qualityforum,#quality2017 [110] complex,problems [100] problems,#quality2017 [97] favourite,image [97] image,introduce [97] introduce,issue [97] issue,solving Top Word Pairs in Tweet in G2:
[269] qualityforum,#quality2017 [143] stand,5 [131] patient,safety [126] #nhswales,#quality2017 [113] looking,forward [99] quality,improvement [86] elft_qi,#quality2017 [82] joy,work [71] #quality2017,1000liveswales [68] #quality2017,elft_qi Top Word Pairs in Tweet in G3:
[138] qualityforum,#quality2017 [102] joy,work [97] jasonleitch,derekfeeleyihi [76] looking,forward [72] jasonleitch,#quality2017 [72] #quality2017,jasonleitch [71] derekfeeleyihi,jasonleitch [63] save,time [63] time,meetings [63] meetings,ground Top Word Pairs in Tweet in G4:
[252] qualityforum,#quality2017 [82] #quality2017,qualityforum [59] #quality2017,#wearenotwaiting [59] #wearenotwaiting,#quality2017 [57] quality,improvement [41] don,berwick [40] frank,federico [40] federico,framework [40] framework,clinical [40] clinical,excellence Top Word Pairs in Tweet in G5:
[48] joy,work [44] breaking,rules [44] rules,better [44] better,care [44] #patientvlog,#quality2017 [43] #quality2017,new [43] new,paper [43] paper,breaking [43] care,relevant [43] relevant,joy Top Word Pairs in Tweet in G6:
[6] quality,safety [6] dha,lhr [6] lhr,ph [6] ph,9 [6] 9,prism [6] prism,1k [6] 1k,plot [6] plot,near [6] near,s [6] s,980 Top Word Pairs in Tweet in G7:
[61] #quality2017,#qfimperial [50] #qfimperial,#quality2017 [27] experience,day [21] imperialnhs,#qfimperial [15] imperialnhs,#quality2017 [13] qualityforum,#quality2017 [13] quality,safety [12] learn,more [12] #quality2017,imperialnhs [11] international,forum Top Word Pairs in Tweet in G8:
[15] #quality2017,#bgsconf [10] quality,safety [8] international,forum [8] #zeroharm,#quality2017 [8] qualityforum,#quality2017 [7] proud,#teamcwp [7] #teamcwp,international [7] forum,quality [7] safety,#zeroharm [7] #quality2017,#deliveringimprovement Top Word Pairs in Tweet in G9:
[11] amirhannan,hospital [11] hospital,outpatient [11] outpatient,consultation [11] consultation,room [11] room,one [11] one,monitor [11] monitor,patient [11] patient,see [11] see,identical [11] identical,screen Top Word Pairs in Tweet in G10:
[5] #quality2017,patients [5] patients,need [5] need,seen [5] seen,innovators [5] innovators,advocates [5] advocates,solutions [5] solutions,personal [5] personal,problems [5] problems,pop [5] pop,wide Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G5:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: