The graph represents a network of 1,182 Twitter users whose recent tweets contained "#CAAW19 OR #CAAW2019 OR #CAAW OR "clinical audit awareness week"", 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 Saturday, 30 November 2019 at 08:23 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 51-minute period from Thursday, 21 November 2019 at 05:28 UTC to Saturday, 30 November 2019 at 08:20 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 : 1182
Unique Edges : 3269
Edges With Duplicates : 4259
Total Edges : 7528
Self-Loops : 428
Reciprocated Vertex Pair Ratio : 0.0989269824653232
Reciprocated Edge Ratio : 0.180042867349369
Connected Components : 35
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 1093
Maximum Edges in a Connected Component : 7368
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.437975
Graph Density : 0.00300800463056488
Modularity : 0.369798
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,182 Twitter users whose recent tweets contained "#CAAW19 OR #CAAW2019 OR #CAAW OR "clinical audit awareness week"", 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 Saturday, 30 November 2019 at 08:23 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 51-minute period from Thursday, 21 November 2019 at 05:28 UTC to Saturday, 30 November 2019 at 08:20 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 : #CAAW19 OR #CAAW2019 OR #CAAW OR "clinical audit awareness week"
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:
[1508] clinical,audit [650] awareness,week [603] audit,awareness [209] week,#caaw19 [203] find,out [156] quality,improvement [149] out,more [121] #caaw19,#clinicalaudit [106] #clinicalaudit,#qi [102] audit,team Top Word Pairs in Tweet in G1:
[474] clinical,audit [195] awareness,week [155] audit,awareness [105] week,#caaw19 [69] #caaw19,#auditheroes [57] #clinicalaudit,#qi [54] next,week [48] #caaw19,#clinicalaudit [42] #clinicalaudit,awareness [42] audit,professional Top Word Pairs in Tweet in G2:
[236] clinical,audit [73] awareness,week [54] audit,awareness [49] #caaw19,#caqi19 [48] quality,improvement [34] well,done [27] audit,quality [25] week,#caaw19 [23] part,#caaw19 [22] #clinicalaudit,#qi Top Word Pairs in Tweet in G3:
[216] clinical,audit [79] awareness,week [78] audit,awareness [33] week,#caaw19 [32] find,out [23] #caaw19,royalhospital [21] 2,30pm [18] out,more [18] national,clinical [18] rcp_fffap,rcp_nlca Top Word Pairs in Tweet in G4:
[85] find,out [85] out,more [64] major,trauma [64] #caaw19,scottraumanwk [64] scottraumanwk,#saving [64] #saving,lives [64] lives,# [64] #,giving [64] giving,lives [64] lives,back Top Word Pairs in Tweet in G5:
[55] clinical,audit [39] audit,awareness [30] awareness,week [22] #caaw19,nwambulance [18] check,out [16] week,#caaw19 [12] top,tips [11] day,2 [10] day,3 [10] 3,clinical Top Word Pairs in Tweet in G6:
[11] #caaw19,here [11] complete,pledge [9] pledge,chance [9] amazon,voucher [9] prize,draw [8] here,come [8] come,up [8] up,chealthlib [8] chealthlib,find [8] find,out Top Word Pairs in Tweet in G7:
[76] clinical,audit [44] audit,important [41] matthewsonpaul,wendy_mcfadden [38] wendy_mcfadden,natalie1530 [34] #caaw19,qegateshead [33] qegateshead,matthewsonpaul [31] important,#caaw19 [29] qegateshead,wendy_mcfadden [29] wendy_mcfadden,matthewsonpaul [28] reason,clinical Top Word Pairs in Tweet in G8:
[40] clinical,audit [37] #lthtaudit,#caaw19 [27] audit,awareness [21] awareness,week [18] #caaw19,#lthtaudit [13] check,out [11] audit,heroes [11] out,more [9] s,clinical [9] week,ll Top Word Pairs in Tweet in G9:
[32] clinical,audit [8] clinical,audits [7] audit,important [6] psychosis,eip [6] national,clinical [6] audit,heroes [6] lp,clinical [6] audit,team [5] come,along [5] along,enjoy Top Word Pairs in Tweet in G10:
[15] clinical,audit [10] audit,awareness [10] awareness,week [3] week,#caaw19 [2] quality,improvement [2] more,information [2] week,clinical [2] find,out [2] out,more [2] audit,#caaw19 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 G5:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: