The graph represents a network of 300 Twitter users whose recent tweets contained "#ukbconf19", 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 Monday, 24 June 2019 at 14:49 UTC.
The tweets in the network were tweeted over the 4-day, 23-hour, 11-minute period from Tuesday, 18 June 2019 at 08:54 UTC to Sunday, 23 June 2019 at 08:05 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 : 300
Unique Edges : 587
Edges With Duplicates : 424
Total Edges : 1011
Number of Edge Types : 4
Retweet : 416
Mentions : 490
Tweet : 83
Replies to : 22
Self-Loops : 85
Reciprocated Vertex Pair Ratio : 0.0558139534883721
Reciprocated Edge Ratio : 0.105726872246696
Connected Components : 11
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 286
Maximum Edges in a Connected Component : 995
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.403569
Graph Density : 0.00759197324414716
Modularity : 0.332671
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[133] uk,biobank [110] scientific,conference [63] biobank,scientific [51] 500,000 [43] whole,genome [42] primary,care [40] genome,sequencing [38] marchini,#ukbconf19 [37] 2019,uk [36] day,exciting Top Word Pairs in Tweet in G1:
[70] uk,biobank [64] scientific,conference [42] biobank,scientific [23] 2019,uk [23] whole,genome [23] genome,sequencing [22] day,exciting [22] exciting,talks [21] full,day [19] record,linkage Top Word Pairs in Tweet in G2:
[22] uk,biobank [20] scientific,conference [16] #ukbconf19,uk_biobank [16] sir,john [16] john,bell [15] 5,million [15] million,people [15] people,#ukbconf19 [14] primary,care [14] early,diagnostic Top Word Pairs in Tweet in G3:
[30] marchini,#ukbconf19 [27] timeline,uk_biobank [27] uk_biobank,500 [27] 500,000 [27] 000,exomes [27] exomes,sequencing [27] sequencing,project [27] project,marchini [27] #ukbconf19,data [27] data,released Top Word Pairs in Tweet in G4:
[12] professor,david [12] david,melzer [12] melzer,#haemochromatosis [12] #haemochromatosis,diagnosis [12] diagnosis,delayed [12] delayed,missed [12] missed,uk_biobank [12] uk_biobank,data [12] data,shows [12] shows,mutation Top Word Pairs in Tweet in G5:
[16] #ukbiobank,#ukbconf19 [13] polygenic,risk [13] risk,score [13] score,#ukbiobank [12] designing,running [12] running,gwas [12] gwas,mainly [12] mainly,caucasian [12] caucasian,participants [12] participants,hamper Top Word Pairs in Tweet in G6:
[6] drug,discovery [6] sir,john [6] john,bell [6] 5,million [5] million,people [5] people,#ukbconf19 [5] primary,care [4] argh,normally [4] normally,duck [4] duck,out Top Word Pairs in Tweet in G7:
[8] scientific,conference [7] uk_biobank,scientific [5] watch,live [4] live,tune [4] tune,uk_biobank [4] conference,livestream [4] livestream,watch [4] watch,series [4] series,presentations [4] presentations,#genetics Top Word Pairs in Tweet in G8:
[16] uk,biobank [11] scientific,conference [5] 500,000 [4] #bigdata,#ukbconf19 [4] biobank,scientific [4] uk_biobank,scientific [4] conference,world [4] world,owes [4] owes,great [4] great,deal Top Word Pairs in Tweet in G9:
[5] ceo,prof [5] prof,peter [5] peter,donnelly [5] donnelly,potential [5] potential,genetic [5] genetic,risk [5] risk,profiling [5] profiling,population [5] population,level [5] level,targeted Top Word Pairs in Tweet in G10:
[3] uk,biobank 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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Top Tweeters in G10: