The graph represents a network of 5,339 Twitter users whose tweets in the requested range contained "helenbevan", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 15 October 2022 at 01:57 UTC.
The requested start date was Saturday, 15 October 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 35-day, 11-hour, 21-minute period from Friday, 09 September 2022 at 09:41 UTC to Friday, 14 October 2022 at 21:02 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 : 5339
Unique Edges : 6142
Edges With Duplicates : 14373
Total Edges : 20515
Number of Edge Types : 5
Retweet : 5485
MentionsInRetweet : 7849
Mentions : 5512
Replies to : 1195
Tweet : 474
Self-Loops : 488
Reciprocated Vertex Pair Ratio : 0.053573264781491
Reciprocated Edge Ratio : 0.101698223697053
Connected Components : 260
Single-Vertex Connected Components : 164
Maximum Vertices in a Connected Component : 4882
Maximum Edges in a Connected Component : 20013
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.594279
Graph Density : 0.000359514044802482
Modularity : 0.363089
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 5,339 Twitter users whose tweets in the requested range contained "helenbevan", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 15 October 2022 at 01:57 UTC.
The requested start date was Saturday, 15 October 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 35-day, 11-hour, 21-minute period from Friday, 09 September 2022 at 09:41 UTC to Friday, 14 October 2022 at 21:02 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 : 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:
[749] psychological,safety [437] safety,safety [403] helenbevan,psychological [401] same,comfort [401] safety,same [401] protect,team [400] north,star [399] comfort,leader's [399] role,protect [399] leader's,role Top Word Pairs in Tweet in G1:
[586] psychological,safety [357] safety,safety [328] protect,team [327] role,protect [327] leader's,role [327] safety,same [327] same,comfort [327] team,discomfort [327] comfort,leader's [326] helenbevan,psychological Top Word Pairs in Tweet in G2:
[59] brilliant,piece [59] outputs,vs [59] change,tom [59] traffyaston,much [59] vs,outcomes [59] helenbevan,outputs [59] world,change [59] piece,traffyaston [59] confusion,world [59] outcomes,brilliant Top Word Pairs in Tweet in G3:
[132] learning,improvement [118] east,north [118] north,cumbria [118] north,east [117] improvement,community [114] cumbria,learning [114] meeting,north [108] 1st,meeting [73] stressed,inte [73] helenbevan,today's Top Word Pairs in Tweet in G4:
[100] helenbevan,alannobbs [55] such,sad [46] alan,nobbs [45] alannobbs,alan [45] alan,one [44] people,worked [44] times,heard [44] nobbs,alannobbs [44] helenbevan,such [44] death,alan Top Word Pairs in Tweet in G5:
[3] very,true [3] time,space [3] such,important [2] feel,safe [2] totally,agree [2] make,time [2] action,learning [2] reflective,practice [2] news,alan [2] really,interesting Top Word Pairs in Tweet in G6:
[25] helenbevan,collectiveclab [19] nci_implsci,guyattgh [19] guyattgh,janetesquires1 [19] uncimpsci,tci_ca [19] tci_ca,nci_implsci [19] collectiveclab,rnao [17] janetesquires1,lavisjn [16] rnao,uncimpsci [13] helenbevan,tom_geraghty [12] julia_e_moore,sob_khan Top Word Pairs in Tweet in G7:
[42] helenbevan,claregerada [41] claregerada,roysocmed [35] medicalwomenuk,helenbevan [28] parthaskar,scarlettmcnally [28] roysocmed,parthaskar [24] apksachar,medicalwomenuk [23] scarlettmcnally,adave_nhs [23] adave_nhs,raj_psyc [21] sorry,apksachar [20] agreed,speak Top Word Pairs in Tweet in G8:
[19] helenbevan,gapingvoid [16] helenbevan,newhappyco [12] helenbevan,techtello [7] really,important [7] north,star [6] registration,public [6] face,face [6] important,staff [6] unite_cphva,conference [6] face,unite_cphva Top Word Pairs in Tweet in G9:
[12] helenbevan,theasnow [7] helenbevan,moina_abdul [6] north,star [6] healthfdn,theqcommunity [5] coaching,over [5] mos,support [5] very,exciting [5] theqcommunity,strategic [5] over,next [5] next,12 Top Word Pairs in Tweet in G10:
[20] cmo_england,drgregorsmith [19] gerryhanna,umsbelfast [16] mlchealth,cmo_england [12] 23,announced [12] include,mlchealth [12] announced,speakers [12] speakers,include [12] series,2022 [12] lecture,series [12] umsbelfast,lecture Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: