The graph represents a network of 2,162 Twitter users whose recent tweets were included in a list (Tweet ID List - theqcommunity - network) of 3200 tweet IDs, or who were replied to or mentioned in those tweets. 3200 out of 3200 tweets were collected. The network was obtained from Twitter on Saturday, 15 August 2020 at 12:42 UTC.
The tweets in the network were tweeted over the 331-day, 22-hour, 57-minute period from Wednesday, 18 September 2019 at 10:02 UTC to Saturday, 15 August 2020 at 09:00 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 : 2162
Unique Edges : 3909
Edges With Duplicates : 9625
Total Edges : 13534
Self-Loops : 861
Reciprocated Vertex Pair Ratio : 0.111227045075125
Reciprocated Edge Ratio : 0.20018779342723
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 2162
Maximum Edges in a Connected Component : 13534
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.997025
Graph Density : 0.00113974883146315
Modularity : 0.199582
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 2,162 Twitter users whose recent tweets were included in a list (Tweet ID List - theqcommunity - network) of 3200 tweet IDs, or who were replied to or mentioned in those tweets. 3200 out of 3200 tweets were collected. The network was obtained from Twitter on Saturday, 15 August 2020 at 12:42 UTC.
The tweets in the network were tweeted over the 331-day, 22-hour, 57-minute period from Wednesday, 18 September 2019 at 10:02 UTC to Saturday, 15 August 2020 at 09:00 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 : TwitterIDList
Graph Term : Tweet ID List - theqcommunity - network
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:
[343] find,out [308] out,more [204] looking,forward [182] health,care [172] check,out [172] #qexchange,2019 [138] covid,19 [132] quality,improvement [132] 2019,#qcommunity [131] projects,receive Top Word Pairs in Tweet in G1:
[305] find,out [270] out,more [144] #qexchange,2019 [136] health,care [124] looking,forward [112] check,out [105] 2019,#qcommunity [103] #qcommunity,members [101] projects,receive [99] funding,theqcommunity Top Word Pairs in Tweet in G2:
[45] check,out [39] theqcommunity,fabnhsstuff [34] looking,forward [31] covid,19 [31] health,care [26] quality,improvement [25] out,more [22] theqcommunity,#nhs [21] theqcommunity,members [21] #nhs,#improvingtogether Top Word Pairs in Tweet in G3:
[10] hscqi,theqcommunity [8] rapid,learning [7] covid,19 [6] q,exchange [6] theqcommunity,hscqi [6] nationalqi,theqcommunity [5] ireland,workshop [5] learning,improvement [5] improvement,during [5] nationalqi,crowley_philip Top Word Pairs in Tweet in G4:
[8] theqcommunity,theihi [8] theihi,nhsleadership [8] nhsleadership,fmlm_uk [7] check,out [6] join,#bmjleaderchat [6] theihi,theqcommunity [5] fmlm_uk,theqcommunity [5] covid,19 [5] fmlm_uk,theihi [5] find,out Top Word Pairs in Tweet in G5:
[10] looking,forward [8] #qvisits,theqcommunity [6] theqcommunity,#qvisits [5] find,out [5] out,more [5] quality,management [5] share,learning [4] #qvisits,#qvisithis [4] here,s [4] great,see Top Word Pairs in Tweet in G6:
[6] patient,safety [5] #imperialsafetyconf,#patientsafety [4] healthfdn,theqcommunity [4] theqcommunity,susthealthcare [3] theqcommunity,healthfdn [3] imperialqi,imperialpeople [3] #qvisits,theqcommunity [3] thank,theqcommunity [3] now,available [3] theqcommunity,imperialqi Top Word Pairs in Tweet in G7:
[5] looking,forward [5] patient,safety [4] voted,#qexchange [4] #qexchange,2019 [4] 2019,#qcommunity [4] projects,receive [4] funding,theqcommunity [4] q,community [4] enhancing,science [4] science,improvement Top Word Pairs in Tweet in G8:
[8] theqcommunity,hfecop [6] ahsn_nenc,theqcommunity [5] theqcommunity,ahsn_nenc [5] looking,forward [4] human,factors [3] ahsn_nenc,hfecop [3] hfecop,theqcommunity [3] please,connect [3] northumbrianhs,ncicnhs [2] ncicnhs,theqcommunity Top Word Pairs in Tweet in G9:
[3] here,5 [3] 5,things [3] things,know [2] improvement,team [2] team,healthfdn [2] healthfdn,shining [2] shining,spotlight [2] voted,#qexchange [2] virtual,consultations [2] improve,health Top Word Pairs in Tweet in G10:
[8] nvtweeting,theqcommunity [6] looking,forward [5] persistent,pain [4] mental,health [4] theqcommunity,#qevent2019 [4] psychologically,informed [3] informed,physiotherapy [3] physiotherapy,practice [3] mindfulness,help [3] sign,up 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: