The graph represents a network of 5,810 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 August 2020 at 01:29 UTC.
The requested start date was Saturday, 15 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 21-day, 16-hour, 21-minute period from Friday, 24 July 2020 at 05:40 UTC to Friday, 14 August 2020 at 22:01 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 : 5810
Unique Edges : 7128
Edges With Duplicates : 17760
Total Edges : 24888
Number of Edge Types : 5
Retweet : 4994
MentionsInRetweet : 8799
Mentions : 8950
Replies to : 1508
Tweet : 637
Self-Loops : 647
Reciprocated Vertex Pair Ratio : 0.0557310865367737
Reciprocated Edge Ratio : 0.105578186050378
Connected Components : 366
Single-Vertex Connected Components : 236
Maximum Vertices in a Connected Component : 5206
Maximum Edges in a Connected Component : 24199
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.793126
Graph Density : 0.000356411752313832
Modularity : 0.352581
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 5,810 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 August 2020 at 01:29 UTC.
The requested start date was Saturday, 15 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 21-day, 16-hour, 21-minute period from Friday, 24 July 2020 at 05:40 UTC to Friday, 14 August 2020 at 22:01 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:
[454] virtual,working [453] working,many [448] being,busy [447] months,imposed [447] imposed,virtual [447] many,remain [447] remain,super [447] super,busy [447] busy,very [447] very,tired Top Word Pairs in Tweet in G1:
[383] virtual,working [383] working,many [378] being,busy [377] months,imposed [377] imposed,virtual [377] many,remain [377] remain,super [377] super,busy [377] busy,very [377] very,tired Top Word Pairs in Tweet in G2:
[94] helenbevan,people [84] kathrynperera,zoelord1 [82] bevmatthewsrn,karas01 [81] people,prefer [81] prefer,learn [81] learn,work [81] work,learning [81] learning,workplace [81] workplace,survey [81] survey,run Top Word Pairs in Tweet in G3:
[180] true,burnout [180] burnout,isn [180] isn,volume [180] volume,work [180] work,soul [180] soul,being [180] being,crushed [180] crushed,keep [180] keep,trying [180] trying,improve Top Word Pairs in Tweet in G4:
[109] bailey_suzie,helenbevan [106] nhsleadership,dradamhs [106] dradamhs,fmlm_tsg [106] fmlm_tsg,bailey_suzie [105] catestod1,fmlm_uk [96] gmcuk,nhsleadership [95] fmlm_uk,gmcuk [90] helenbevan,aomrc [71] erwinloh,catestod1 [58] winnie_ll_teo,bmjleader Top Word Pairs in Tweet in G5:
[5] virtual,meetings [4] questions,ask [4] really,interesting [4] status,quo [3] different,ways [3] great,questions [3] very,true [3] more,effective [3] really,useful [3] face,face Top Word Pairs in Tweet in G6:
[43] helenbevan,asegar [29] helenbevan,gcouros [21] helenbevan,sdxcop [14] designing,ways [12] helenbevan,months [12] months,imposed [12] imposed,virtual [12] virtual,working [12] working,many [12] many,remain Top Word Pairs in Tweet in G7:
[30] jomwlever,wendyjnicholson [27] nickybj50,paulatimms50 [27] paulatimms50,kathevans2 [27] kathevans2,jomwlever [24] wendyjnicholson,nhssafeguarding [18] kennygibsonnhs,naomiworldz [18] naomiworldz,saphnasharonobe [18] saphnasharonobe,nickybj50 [15] anniecoops,helenbevan [14] nhssafeguarding,helenbevan Top Word Pairs in Tweet in G8:
[22] #covid19,#coronavirus [17] #coronavirus,#meded [15] #meded,#medtwitter [10] kleinsight,isqua [10] horsleycarl,lizcrowe2 [10] lizcrowe2,neilspenceley [9] patient,safety [9] tgandhi_safety,neelamdhingra1 [8] helenbevan,here's [8] resource,pipsqc Top Word Pairs in Tweet in G9:
[12] helenbevan,david_relph [8] working,virtually [7] 'would,squeezed [7] squeezed,before [7] before,working [7] virtually,' [7] ',know [7] know,tendency [7] tendency,keep [7] keep,adding Top Word Pairs in Tweet in G10:
[12] using,continuous [12] continuous,improvement [11] passion,using [11] improvement,skills [11] skills,improve [11] improve,healthcare [11] healthcare,join [11] join,d710dance [11] d710dance,tribe [11] tribe,add Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G7:
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 Mentioned in G6:
Top Mentioned in G7:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: