The graph represents a network of 5,309 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, 10 September 2022 at 01:57 UTC.
The requested start date was Saturday, 10 September 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 36-day, 23-hour, 26-minute period from Wednesday, 03 August 2022 at 21:46 UTC to Friday, 09 September 2022 at 21:13 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 : 5309
Unique Edges : 5690
Edges With Duplicates : 14327
Total Edges : 20017
Number of Edge Types : 5
Replies to : 1194
Retweet : 5453
MentionsInRetweet : 7682
Mentions : 5170
Tweet : 518
Self-Loops : 527
Reciprocated Vertex Pair Ratio : 0.043417667238422
Reciprocated Edge Ratio : 0.083222028151649
Connected Components : 257
Single-Vertex Connected Components : 180
Maximum Vertices in a Connected Component : 4865
Maximum Edges in a Connected Component : 19492
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.540298
Graph Density : 0.000345384691051566
Modularity : 0.341806
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 5,309 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, 10 September 2022 at 01:57 UTC.
The requested start date was Saturday, 10 September 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 36-day, 23-hour, 26-minute period from Wednesday, 03 August 2022 at 21:46 UTC to Friday, 09 September 2022 at 21:13 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:
[401] without,authority [400] helenbevan,research [378] influence,without [376] ways,influence [374] lead,example [373] authority,character [373] character,lead [373] example,always [373] always,follow [373] follow,expertise Top Word Pairs in Tweet in G1:
[282] without,authority [279] ways,influence [279] influence,without [279] authority,character [279] character,lead [279] lead,example [279] example,always [279] always,follow [279] follow,expertise [279] expertise,information Top Word Pairs in Tweet in G2:
[201] helenbevan,alannobbs [94] such,sad [81] sad,news [66] alan,nobbs [64] alannobbs,alan [63] one,best [62] helenbevan,such [62] sad,times [62] times,heard [62] heard,death Top Word Pairs in Tweet in G3:
[96] organisational,change [95] helenbevan,discussing [95] discussing,cormacrussell [95] cormacrussell,model [95] model,today [95] today,context [95] context,organisational [95] change,mod [40] point,change [39] helenbevan,treasure Top Word Pairs in Tweet in G4:
[149] quality,toolkit [140] helenbevan,world [140] world,health [140] health,organisation [140] organisation,created [140] created,quality [140] toolkit,organised [140] organised,existing [140] existing,resources [140] resources,categories Top Word Pairs in Tweet in G5:
[5] sad,hear [4] hear,news [4] news,alan [3] very,sad [3] rip,alan [2] interesting,article [2] holiday,exactly [2] growth,mindset [2] focus,more [2] valuable,insights Top Word Pairs in Tweet in G6:
[73] helenbevan,one [72] one,practices [72] practices,exemplary [72] exemplary,leadership [72] leadership,according [72] according,jim_kouzes [72] jim_kouzes,model [72] model,way [72] way,leaders [72] leaders,set Top Word Pairs in Tweet in G7:
[96] roylilley,drgrumble [95] drgrumble,iambonglie [85] johnlauner,helenbevan [81] iambonglie,trisha_the_doc [80] trisha_the_doc,johnlauner [57] doctorcaldwell,roylilley [19] helenbevan,drrhelliwell [19] theihi,danielleofri [19] danielleofri,atul_gawande [18] cruncherwax,roylilley Top Word Pairs in Tweet in G8:
[30] helenbevan,voinonen [8] move,things [8] things,forward [7] pplsassembly,thepeopleshubuk [7] thepeopleshubuk,angelaparfitt1 [7] angelaparfitt1,cqcprof [7] listening,triangle [7] helenbevan,organisations [6] helenbevan,conventional [6] conventional,conversations Top Word Pairs in Tweet in G9:
[28] physical,activity [27] helenbevan,went [27] went,fantastic [27] fantastic,talk [27] talk,today [27] today,physical [27] activity,healthcare [27] healthcare,led [27] led,tomunderwords [27] tomunderwords,nationwide Top Word Pairs in Tweet in G10:
[27] helenbevan,stratandbiz [7] helenbevan,sam5 [5] helenbevan,organisations [5] helenbevan,know [5] imposter,syndrome [4] start,change [4] know,determines [4] determines,learn [4] learn,grounding [4] grounding,basic Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: