The graph represents a network of 3,751 Twitter users whose recent tweets contained "helenbevan", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 02:56 UTC.
The tweets in the network were tweeted over the 1568-day, 13-hour, 12-minute period from Friday, 14 September 2018 at 11:23 UTC to Saturday, 31 December 2022 at 00:36 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 3751
Unique Edges : 3994
Edges With Duplicates : 12174
Total Edges : 16168
Number of Edge Types : 9
Retweet : 3326
MentionsInRetweet : 5082
Replies to : 1109
MentionsInReplyTo : 5189
Mentions : 490
Quote : 507
MentionsInQuote : 404
Tweet : 26
MentionsInQuoteReply : 35
Self-Loops : 194
Reciprocated Vertex Pair Ratio : 0.0363825363825364
Reciprocated Edge Ratio : 0.0702106318956871
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 3749
Maximum Edges in a Connected Component : 16166
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.569308
Graph Density : 0.000567031013951835
Modularity : 0.34048
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,751 Twitter users whose recent tweets contained "helenbevan", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 02:56 UTC.
The tweets in the network were tweeted over the 1568-day, 13-hour, 12-minute period from Friday, 14 September 2018 at 11:23 UTC to Saturday, 31 December 2022 at 00:36 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : helenbevan
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:
[704] pennypereira1,dramarshah [703] helenbevan,pennypereira1 [703] dramarshah,nhsconfed [311] nhs,improvement [244] improvement,community [231] improvement,lessons [208] wider,system [208] without,considering [207] change,programme [207] impact,wider Top Word Pairs in Tweet in G1:
[174] wider,system [174] without,considering [173] policy,change [173] change,programme [172] design,policy [172] system,create [172] impact,wider [172] programme,without [172] considering,impact [172] create,equivalent Top Word Pairs in Tweet in G2:
[692] helenbevan,pennypereira1 [682] pennypereira1,dramarshah [682] dramarshah,nhsconfed [101] nhs,improvement [100] improvement,community [87] aidan_baron,helenbevan [72] disconnect,between [70] something,illustrate [70] community,poor [70] buggers,trying Top Word Pairs in Tweet in G3:
[147] helenbevan,listening [90] katebhilton,#ihiforum [90] listening,katebhilton [90] gap,gap [90] #ihiforum,talking [90] talking,know [90] know,gap [90] between,know [90] gap,between [51] psychology,change Top Word Pairs in Tweet in G4:
[21] helenbevan,gapingvoid [11] dramarshah,nhsconfed [11] pennypereira1,dramarshah [10] kkessack,pennypereira1 [10] helenbevan,kkessack [9] saphnasharonobe,helenbevan [7] nhsconfed,weschoolnurses [6] large,scale [6] organisations,high [6] connections,bedrock Top Word Pairs in Tweet in G5:
[15] helenbevan,tuftsuniversity [8] positive,deviance [7] helenbevan,megsaxby [6] bright,spots [6] helenbevan,today [5] led,change [5] change,co [5] facilitating,session [5] today,facilitating [5] savetonotion,#tweet Top Word Pairs in Tweet in G6:
[34] led,people [34] people,don [34] happens,strategy [34] don,operational [34] developed,led [34] being,developed [34] strategy,being [34] operational,role [33] drandrewmackay,happens [20] clinician,delivering Top Word Pairs in Tweet in G7:
[69] improvement,lessons [69] ai,chatbot [68] generate,nhs [68] viral,ai [68] thing,answer [68] lessons,indistinguishable [68] question,viral [68] indistinguishable,thing [68] nhs,improvement [68] chatbot,generate Top Word Pairs in Tweet in G8:
[4] tweets,posted [4] posted,2022 [3] 2022,positive [2] retweet,over [2] observation,today [2] hohrcho7,hsechodncc [2] days,2022 [2] 2022,draws [2] close,retweet [2] thomasglynn16,patient_for Top Word Pairs in Tweet in G9:
[9] navinaevans,nhsconfed [9] mcubbonnhs,navinaevans [9] nhsproviders,hsj_awards [9] nhsconfed,nhsproviders [9] hsj_awards,culture_nhs [7] start,1st [7] 1st,december [7] december,mcubbonnhs [6] culture_nhs,nhsemployer [6] emmachallans,start Top Word Pairs in Tweet in G10:
[19] helenbevan,stratandbiz [10] such,important [10] safe,discomfort [10] misunderstood,aspect [10] aspect,#psychologicalsafety [10] important,misunderstood [10] discomfort,truly [10] feeling,safe [10] #psychologicalsafety,feeling [9] liangrhea,such Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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 G9:
Top Tweeters in G10: