The graph represents a network of 5,827 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, 29 August 2020 at 01:29 UTC.
The requested start date was Saturday, 29 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 22-day, 21-hour, 0-minute period from Thursday, 30 July 2020 at 13:36 UTC to Saturday, 22 August 2020 at 10:36 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 : 5827
Unique Edges : 7198
Edges With Duplicates : 18262
Total Edges : 25460
Number of Edge Types : 5
Retweet : 5011
MentionsInRetweet : 9050
Mentions : 9285
Replies to : 1473
Tweet : 641
Self-Loops : 646
Reciprocated Vertex Pair Ratio : 0.0597826086956522
Reciprocated Edge Ratio : 0.112820512820513
Connected Components : 371
Single-Vertex Connected Components : 253
Maximum Vertices in a Connected Component : 5213
Maximum Edges in a Connected Component : 24769
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.835562
Graph Density : 0.000356131839123142
Modularity : 0.354598
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 5,827 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, 29 August 2020 at 01:29 UTC.
The requested start date was Saturday, 29 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 22-day, 21-hour, 0-minute period from Thursday, 30 July 2020 at 13:36 UTC to Saturday, 22 August 2020 at 10:36 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:
[634] virtual,meetings [442] people,plan [419] working,virtually [369] status,quo [363] change,agents [359] agents,rebels [359] rebels,radicals [359] radicals,heretics [359] heretics,challengers [358] helenbevan,a5 Top Word Pairs in Tweet in G1:
[467] virtual,meetings [329] people,plan [310] working,virtually [298] change,agents [297] status,quo [295] plan,brilliant [295] brilliant,news [295] news,change [295] agents,rebels [295] rebels,radicals Top Word Pairs in Tweet in G2:
[110] helenbevan,people [94] people,prefer [94] prefer,learn [94] learn,work [94] work,learning [94] learning,workplace [94] workplace,survey [94] survey,run [94] run,c4lpt [94] c4lpt,shows Top Word Pairs in Tweet in G3:
[142] nhsleadership,theqcommunity [132] fmlm_uk,nhsleadership [131] voa1234,fmlm_uk [120] bmjleader,voa1234 [113] helenbevan,bailey_suzie [112] theqcommunity,mkchan_rcpsc [60] theihi,ahpleader [50] ahpleader,helenbevan [44] mkchan_rcpsc,drmattfinch [40] tony_berendt,bmjleader Top Word Pairs in Tweet in G4:
[199] profdonnahall,true [192] volume,work [191] true,burnout [191] burnout,isn [191] isn,volume [191] work,soul [191] soul,being [191] being,crushed [191] crushed,keep [191] keep,trying Top Word Pairs in Tweet in G5:
[8] virtual,meetings [4] really,interesting [4] status,quo [3] working,home [3] food,thought [3] worth,reading [3] interesting,read [3] enough,change [3] well,worth [2] take,look Top Word Pairs in Tweet in G6:
[56] jennythem,midwivesrcm [56] midwivesrcm,teamcmido [56] teamcmido,gillwaltonrcm [56] gillwaltonrcm,doctorrah [56] doctorrah,safetynurse999 [54] safetynurse999,helenh49 [51] gallyhj,jennythem [42] helenh49,fwmaternity [40] annageyer_np,newpossibilitie [33] nhs_robw,gallyhj Top Word Pairs in Tweet in G7:
[48] helenbevan,asegar [17] make,sure [16] during,pandemic [16] pandemic,urgently [16] urgently,need [16] need,make [16] sure,work [16] work,everyone [16] everyone,esp [16] esp,those Top Word Pairs in Tweet in G8:
[36] helenbevan,kwiens62 [16] #covid19,#coronavirus [16] #coronavirus,#meded [15] #meded,#medtwitter [11] virtual,meetings [10] helenbevan,lizpsychology [9] tgandhi_safety,neelamdhingra1 [8] bellew_julie,helenbevan [8] covid,19 [8] erictopol,drtomfrieden Top Word Pairs in Tweet in G9:
[14] helenbevan,david_relph [6] desire,more [6] more,reach [6] reach,further [6] further,last [6] last,longer [6] longer,push [6] push,harder [6] harder,creates [6] creates,stresses Top Word Pairs in Tweet in G10:
[19] helenbevan,givingvoiceuk [19] givingvoiceuk,jennykeanecahpo [18] mlous4,wyliedpod [16] virtual,meetings [16] ahpfni,mlous4 [12] wyoung68,natleadahpcyp [12] natleadahpcyp,ahpfni [11] jennykeanecahpo,warner_md [10] miss,social [10] social,connection Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: