The graph represents a network of 4,179 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, 11 July 2020 at 01:39 UTC.
The requested start date was Saturday, 11 July 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 13-day, 0-hour, 7-minute period from Friday, 26 June 2020 at 14:27 UTC to Thursday, 09 July 2020 at 14:34 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 : 4179
Unique Edges : 4766
Edges With Duplicates : 12938
Total Edges : 17704
Number of Edge Types : 5
Retweet : 3764
MentionsInRetweet : 7550
Mentions : 5391
Replies to : 660
Tweet : 339
Self-Loops : 343
Reciprocated Vertex Pair Ratio : 0.060481867858917
Reciprocated Edge Ratio : 0.114064878791428
Connected Components : 215
Single-Vertex Connected Components : 139
Maximum Vertices in a Connected Component : 3783
Maximum Edges in a Connected Component : 17217
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.682097
Graph Density : 0.000489064575653576
Modularity : 0.351219
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 4,179 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, 11 July 2020 at 01:39 UTC.
The requested start date was Saturday, 11 July 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 13-day, 0-hour, 7-minute period from Friday, 26 June 2020 at 14:27 UTC to Thursday, 09 July 2020 at 14:34 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:
[667] emerge,#covid19 [667] #covid19,pandemic [666] helenbevan,lots [666] lots,thinking [666] thinking,going [666] going,kind [666] kind,world [666] world,emerge [666] pandemic,people [391] home,working Top Word Pairs in Tweet in G1:
[538] lots,thinking [538] thinking,going [538] going,kind [538] kind,world [538] world,emerge [538] emerge,#covid19 [538] #covid19,pandemic [538] pandemic,people [537] helenbevan,lots [318] months,virtual Top Word Pairs in Tweet in G2:
[143] coaching,compassion [142] helenbevan,last [142] last,week [142] week,posted [142] posted,powerpoint [142] powerpoint,slide [142] slide,made [142] made,reach [142] reach,model [142] model,coaching Top Word Pairs in Tweet in G3:
[278] jomwlever,wendyjnicholson [268] paulatimms50,kathevans2 [268] kathevans2,jomwlever [257] nickybj50,paulatimms50 [248] wendyjnicholson,nhssafeguarding [207] saphnasharonobe,nickybj50 [164] nhssafeguarding,helenbevan [142] kennygibsonnhs,saphnasharonobe [127] helenbevan,jkfilli [63] nhssafeguarding,helenb Top Word Pairs in Tweet in G4:
[5] leadership,humility [3] really,interesting [3] working,home [3] soft,stuff [3] good,enough [2] days,back [2] back,work [2] occupational,therapist [2] thanks,sharing [2] take,time Top Word Pairs in Tweet in G5:
[38] maternitysash,teamcmido [38] teamcmido,midwivesrcm [38] midwivesrcm,midwife_claire [38] midwife_claire,wemidwives [34] wemidwives,laurenc21837685 [20] lia_bri,maternitysash [19] laurenc21837685,godfrey_isaacs [16] godfrey_isaacs,_marslord [16] iolanthemidwife,helenbevan [16] helenbevan,benashnaz Top Word Pairs in Tweet in G6:
[32] power,make [28] helenbevan,#collaborativenw [26] make,change [26] system,change [23] change,happen [23] helenbevan,june [23] june,holley [23] holley,juneholley [23] juneholley,otherwise [23] otherwise,known Top Word Pairs in Tweet in G7:
[35] culture,fear [35] fear,toxic [35] toxic,erodes [35] erodes,psychological [35] psychological,safety [35] safety,needed [35] needed,speak [35] speak,things [35] things,wrong [35] wrong,improve Top Word Pairs in Tweet in G8:
[25] spot,leaders [25] leaders,type [25] type,leader [25] leader,read [25] read,thought [25] thought,provoking [25] provoking,blog [24] bmjleader,spot [7] theihi,theqcommunity [7] theqcommunity,drmattfinch Top Word Pairs in Tweet in G9:
[16] sfhft,proud2bops [16] proud2bops,fabnhsstuff [16] fabnhsstuff,ihm_tweets [16] ihm_tweets,helenbevan [16] helenbevan,nhsengland [14] nhsengland,theqcommunity [14] theqcommunity,nhse_diversity [13] emmachallans,sfhft [11] nhse_diversity,nhsproviders [10] nhsproviders,nhsconfed Top Word Pairs in Tweet in G10:
[14] good,call [14] call,local [14] local,health [14] health,care [14] care,systems [14] systems,provide [14] provide,leadership [14] leadership,support [14] support,ensure [14] ensure,voluntary 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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