The graph represents a network of 297 Twitter users whose recent tweets contained "antibioticguardianaward OR antibioticguardianawards", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 28 November 2020 at 11:50 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 47-minute period from Friday, 20 November 2020 at 11:00 UTC to Saturday, 28 November 2020 at 11:48 UTC.
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 : 297
Unique Edges : 1127
Edges With Duplicates : 1010
Total Edges : 2137
Self-Loops : 50
Reciprocated Vertex Pair Ratio : 0.118055555555556
Reciprocated Edge Ratio : 0.211180124223602
Connected Components : 11
Single-Vertex Connected Components : 8
Maximum Vertices in a Connected Component : 282
Maximum Edges in a Connected Component : 2123
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.776022
Graph Density : 0.0164823914823915
Modularity : 0.379786
NodeXL Version : 1.0.1.441
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=242331
Data Import : The graph represents a network of 297 Twitter users whose recent tweets contained "antibioticguardianaward OR antibioticguardianawards", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 28 November 2020 at 11:50 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 47-minute period from Friday, 20 November 2020 at 11:00 UTC to Saturday, 28 November 2020 at 11:48 UTC.
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 : TwitterSearch
Graph Term : antibioticguardianaward OR antibioticguardianawards
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[178] #antibioticguardianawards,#antibioticguardian [68] winner,winner [48] highly,commended [40] #antibioticguardian,#antibioticguardianawards [33] 2020,#antibioticguardianawards [32] ag_awardsandsl,#antibioticguardianawards [30] shared,learning [29] cw_pharmacists,thetlinks [26] innovation,technology [25] #antibioticguardianawards,2020 Top Word Pairs in Tweet in G1:
[55] #antibioticguardianawards,#antibioticguardian [33] winner,winner [21] engagement,category [19] innovation,technology [18] public,engagement [18] category,#antibioticguardianawards [13] #antibioticguardian,#antibioticguardianawards [11] technology,category [11] category,sponsored [11] drdianeashiru,ag_awardsandsl Top Word Pairs in Tweet in G2:
[51] #antibioticguardianawards,#antibioticguardian [22] #antibioticguardian,#antibioticguardianawards [22] winner,winner [21] niniolawilliams,drasatrust [21] drasatrust,_facesa [19] highly,commended [18] 2020,#antibioticguardianawards [17] shared,learning [17] learning,awards [17] onyi_estelle,ducitbluefdn Top Word Pairs in Tweet in G3:
[69] #antibioticguardianawards,#antibioticguardian [30] ag_awardsandsl,#antibioticguardianawards [22] representing,partnership [22] partnership,under [21] makerere,university [21] university,school [21] school,public [21] public,health [19] cw_pharmacists,thetlinks [18] #cwpams,team Top Word Pairs in Tweet in G4:
[17] batch_trial,carrolenitan [10] #antibioticguardianawards,young [10] young,person [10] person,led [10] led,drama [10] drama,project [10] project,attitudepas [10] genrypags,batch_trial [10] carrolenitan,liverpoolgenr1 [10] liverpoolgenr1,crfalderhey Top Word Pairs in Tweet in G5:
[7] honoured,once [7] once,again [7] again,westhertsnhs [7] westhertsnhs,#antimicrobialstewardship [7] #antimicrobialstewardship,team [7] team,shortlisted [7] shortlisted,#antibioticguardianawards [7] #antibioticguardianawards,2020 [7] 2020,hope [7] hope,bring Top Word Pairs in Tweet in G7:
[5] pyrrhic,progress [5] 2020,#antibioticguardianawards [3] absolutely,fantastic [3] fantastic,pyrrhic [3] progress,history [3] history,#antibiotics [3] #antibiotics,food [3] food,production [3] production,featured [3] featured,great Top Word Pairs in Tweet in G8:
[3] universityleeds,nhsengland [3] nhsengland,uclh [3] research,supporting [3] supporting,appropriate [3] appropriate,use [3] use,antibiotics [3] antibiotics,women [3] women,lower [3] lower,utis [3] utis,community Top Word Pairs in Tweet in G10:
[2] congratulations,everyone [2] everyone,involved [2] involved,quality [2] quality,improvement [2] improvement,project [2] project,somersetft [2] somersetft,#antibioticguardianawards 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:
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Top Tweeters in G10: