The graph represents a network of 5,913 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, 08 August 2020 at 01:29 UTC.
The requested start date was Saturday, 08 August 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 23-day, 14-hour, 12-minute period from Tuesday, 14 July 2020 at 01:34 UTC to Thursday, 06 August 2020 at 15:47 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 : 5913
Unique Edges : 7479
Edges With Duplicates : 18672
Total Edges : 26151
Number of Edge Types : 5
Retweet : 5151
MentionsInRetweet : 9781
Replies to : 1301
Mentions : 9299
Tweet : 619
Self-Loops : 637
Reciprocated Vertex Pair Ratio : 0.0600981885898087
Reciprocated Edge Ratio : 0.113382305972533
Connected Components : 363
Single-Vertex Connected Components : 223
Maximum Vertices in a Connected Component : 5284
Maximum Edges in a Connected Component : 25448
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.800347
Graph Density : 0.000358262007040747
Modularity : 0.356055
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 5,913 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, 08 August 2020 at 01:29 UTC.
The requested start date was Saturday, 08 August 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 23-day, 14-hour, 12-minute period from Tuesday, 14 July 2020 at 01:34 UTC to Thursday, 06 August 2020 at 15:47 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:
[464] virtual,working [463] helenbevan,people [460] working,many [455] people,think [447] being,busy [446] helenbevan,months [446] months,imposed [446] imposed,virtual [446] many,remain [446] remain,super Top Word Pairs in Tweet in G1:
[394] virtual,working [393] working,many [381] being,busy [380] months,imposed [380] imposed,virtual [380] many,remain [380] remain,super [380] super,busy [380] busy,very [380] very,tired Top Word Pairs in Tweet in G2:
[122] nickybj50,paulatimms50 [122] paulatimms50,kathevans2 [122] kathevans2,jomwlever [117] jomwlever,wendyjnicholson [101] saphnasharonobe,nickybj50 [90] naomiworldz,saphnasharonobe [85] kennygibsonnhs,naomiworldz [54] wendyjnicholson,nhssafeguarding [46] nhssafeguarding,kennygibsonnhs [46] wendyjnicholson,helenb Top Word Pairs in Tweet in G3:
[136] dradamhs,fmlm_tsg [123] catestod1,fmlm_uk [122] nhsleadership,dradamhs [121] fmlm_tsg,bailey_suzie [110] bailey_suzie,helenbevan [108] gmcuk,nhsleadership [107] fmlm_uk,gmcuk [103] helenbevan,aomrc [74] winnie_ll_teo,bmjleader [70] erwinloh,catestod1 Top Word Pairs in Tweet in G4:
[7] virtual,meetings [5] think,rebel [4] very,true [3] thank,helen [3] try,more [3] very,interesting [3] really,useful [3] thought,provoking [3] questions,ask [2] really,helpful Top Word Pairs in Tweet in G5:
[90] helenbevan,engaged [90] engaged,team [90] team,ashridge_biz [90] ashridge_biz,offers [90] offers,research [90] research,based [90] based,survey [90] survey,team [90] team,engagement [90] engagement,sign Top Word Pairs in Tweet in G6:
[24] #covid19,#coronavirus [14] #coronavirus,#meded [12] helenbevan,here's [11] #meded,#medtwitter [10] kleinsight,isqua [10] horsleycarl,lizcrowe2 [10] lizcrowe2,neilspenceley [9] patient,safety [9] erictopol,drtomfrieden [9] isqua,caitriona_isqua Top Word Pairs in Tweet in G7:
[12] helenbevan,david_relph [10] don,know [10] know,express [10] express,much [10] much,love [9] fillthewhole,don [8] 'would,squeezed [8] squeezed,before [8] before,working [8] working,virtually Top Word Pairs in Tweet in G8:
[32] helenbevan,vivjbennett [24] highly,recommend [24] #tedtalk,margaret [24] margaret,heffernan [22] recommend,#tedtalk [22] heffernan,helenbevan [21] jamiewaterall,highly [15] important,point [15] point,many [15] many,people Top Word Pairs in Tweet in G9:
[7] carolyncahpo,nesnmahp [7] mountfordjames,principles [7] principles,nightingaleldn [7] nightingaleldn,useful [7] useful,learning [7] learning,better [7] better,faster [7] faster,normal [7] normal,provider [7] provider,settings Top Word Pairs in Tweet in G10:
[9] see,thread [9] thread,below [9] below,snapshot [9] snapshot,insights [9] insights,shared [9] shared,today [9] today,nswaci [9] nswaci,#nswhealthciu [9] #nswhealthciu,intl [9] intl,expert 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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