The graph represents a network of 6,204 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, 19 September 2020 at 01:13 UTC.
The requested start date was Saturday, 19 September 2020 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 28-day, 6-hour, 29-minute period from Friday, 21 August 2020 at 17:17 UTC to Friday, 18 September 2020 at 23:46 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 : 6204
Unique Edges : 7874
Edges With Duplicates : 17733
Total Edges : 25607
Number of Edge Types : 5
Retweet : 5426
MentionsInRetweet : 9413
Mentions : 9046
Replies to : 1154
Tweet : 568
Self-Loops : 575
Reciprocated Vertex Pair Ratio : 0.0468688148206793
Reciprocated Edge Ratio : 0.0895409513726083
Connected Components : 383
Single-Vertex Connected Components : 233
Maximum Vertices in a Connected Component : 5492
Maximum Edges in a Connected Component : 24689
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.743771
Graph Density : 0.000343602589084357
Modularity : 0.380463
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 6,204 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, 19 September 2020 at 01:13 UTC.
The requested start date was Saturday, 19 September 2020 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 28-day, 6-hour, 29-minute period from Friday, 21 August 2020 at 17:17 UTC to Friday, 18 September 2020 at 23:46 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:
[797] simple,powerful [781] powerful,graphics [780] helenbevan,love [778] love,simple [778] lizandmollie,speak [777] graphics,created [777] created,lizandmollie [759] remote,working [665] work,home [613] longer,hours Top Word Pairs in Tweet in G1:
[724] simple,powerful [720] powerful,graphics [720] helenbevan,love [719] love,simple [719] lizandmollie,speak [718] graphics,created [718] created,lizandmollie [657] remote,working [593] work,home [558] longer,hours Top Word Pairs in Tweet in G2:
[59] mountfordjames,hughmccaughey [46] patient,safety [45] hughmccaughey,goranhenriks [41] helenbevan,listening [39] listening,hughmccaughey [39] hughmccaughey,nhs [39] nhs,improvement [39] improvement,directors [39] directors,virtual [39] virtual,network Top Word Pairs in Tweet in G3:
[34] orthopaedicoz,marklainchbury [28] helenbevan,leadershipfreak [27] marklainchbury,citizen_o_world [27] citizen_o_world,danielbayley80 [27] danielbayley80,drgrumble [27] drgrumble,jimfinlayson [26] drmutleymoss,suzypuss [26] suzypuss,apksachar [26] apksachar,helencrimlisk [26] helencrimlisk,alyscoleking Top Word Pairs in Tweet in G4:
[79] fmlm_uk,nhsleadership [76] fmlm_tsg,fmlm_uk [73] nhsleadership,nhs_healthedeng [73] nhs_healthedeng,theqcommunity [73] theqcommunity,bma_juniordocs [73] bma_juniordocs,helenbevan [44] bmjleader,fmlm_tsg [43] helenbevan,bailey_suzie [30] dryangchen,fmlm_tsg [28] dryangchen,bmjleader Top Word Pairs in Tweet in G5:
[7] working,home [4] simple,powerful [3] work,life [3] goes,long [3] long,way [3] remote,working [3] remote,work [3] people,working [2] fun,spirituality [2] helpful,tips Top Word Pairs in Tweet in G6:
[39] resources,support [39] learning,#covid19 [38] qi,resources [38] support,learning [37] helenbevan,quality [37] quality,improvement [37] improvement,qi [37] #covid19,health [37] health,service [37] service,executive Top Word Pairs in Tweet in G7:
[13] reverse,mentoring [13] petrajbryan,julieclennell [13] julieclennell,karenjnhs [13] karenjnhs,aminahansadam1 [12] mentoring,powerful [12] powerful,enabler [12] enabler,change [12] change,organisational [12] organisational,norms [12] norms,individual Top Word Pairs in Tweet in G8:
[5] lovely,framework [5] framework,box [5] box,organisation [5] organisation,more [5] more,help [5] help,move [5] move,towards [5] towards,top [5] top,right [5] right,box Top Word Pairs in Tweet in G9:
[8] eve,#worldpatientsafetyday [8] #worldpatientsafetyday,important [8] important,study [8] study,health [8] health,care [8] care,teams [8] teams,working [8] working,remotely [8] remotely,consider [7] joanne37m,eve Top Word Pairs in Tweet in G10:
[4] pspicer01,devonsylvia [4] twiliew,vanderwal [3] remote,working [3] vanderwal,julianstodd [3] julianstodd,sorokti [3] sorokti,ustenh [3] ustenh,sheldrake [3] sheldrake,voinonen [3] voinonen,helenbevan [2] donnapoolehee,laurensmitheolc 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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