The graph represents a network of 306 Twitter users whose recent tweets contained "#UAA2019", 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, 12 August 2019 at 06:59 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 48-minute period from Saturday, 03 August 2019 at 09:20 UTC to Monday, 12 August 2019 at 05:08 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 : 306
Unique Edges : 1075
Edges With Duplicates : 1353
Total Edges : 2428
Number of Edge Types : 4
Mentions : 1776
Retweet : 444
Tweet : 81
Replies to : 127
Self-Loops : 82
Reciprocated Vertex Pair Ratio : 0.11470113085622
Reciprocated Edge Ratio : 0.205797101449275
Connected Components : 12
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 285
Maximum Edges in a Connected Component : 2406
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.675376
Graph Density : 0.0147862423657988
Modularity : 0.274373
NodeXL Version : 1.0.1.418
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[59] #uaa2019,#urosome [59] uaa2019,#uaa2019 [46] #uaa2019,uaa2019 [34] prostate,cancer [34] amerurological,uroweb [27] siu_urology,bjuijournal [27] uroweb,amerurological [24] #urology,conference [24] conference,recommendations [24] recommendations,#bicycle Top Word Pairs in Tweet in G1:
[36] #uaa2019,#urosome [20] #uaa2019,uaa2019 [18] uaa2019,#uaa2019 [14] social,media [12] #uaa2019,dr [12] prostate,cancer [12] #uaa2019,bjuijournal [11] hong,kong [11] #uaa2019,great [10] very,good Top Word Pairs in Tweet in G2:
[25] uaa2019,#uaa2019 [21] #urology,conference [21] conference,recommendations [21] recommendations,#bicycle [21] #bicycle,seats [21] seats,avoid [21] avoid,pressure [21] pressure,cavernosal [21] cavernosal,vessels [21] vessels,#cyclists Top Word Pairs in Tweet in G3:
[19] amerurological,uroweb [16] #uaa2019,uaa2019 [16] uroweb,amerurological [13] uaa2019,#uaa2019 [13] siu_urology,bjuijournal [13] teng_ong,siu_urology [13] live,surgery [12] bjuijournal,amerurological [12] uaa2019,uroweb [12] uroweb,so_uro Top Word Pairs in Tweet in G4:
[17] trial,design [14] never,tire [14] tire,hearing [14] hearing,prof_nick_james [14] prof_nick_james,describe [14] describe,benefit [14] benefit,multiarm [14] multiarm,multistage [14] multistage,trial [14] design,took Top Word Pairs in Tweet in G5:
[7] privileged,win [7] win,1st [7] 1st,place [7] place,oncology [7] oncology,renal [7] renal,session [7] session,uaa2019 [7] uaa2019,special [7] special,thanks [7] thanks,qdtrinh Top Word Pairs in Tweet in G6:
[3] check,out [3] nepalnaus,urology_ph [3] urology_ph,usanzurology [3] usanzurology,emiratesurology [3] emiratesurology,kma_1963 [3] kma_1963,uroturk [3] uroturk,amerurological [3] amerurological,uroweb [2] don,t [2] t,miss Top Word Pairs in Tweet in G7:
[8] #handhygiene,#hai [8] #hai,wash [8] wash,wash [8] wash,question [8] question,#motivation [8] #motivation,#startup [8] #startup,#iot [8] #iot,#ai [8] #ai,#bigdata [8] #bigdata,#blockchain Top Word Pairs in Tweet in G8:
[3] himeshgandhi1,zhenbangliu [3] zhenbangliu,pradeepzeno [3] pradeepzeno,teng_ong [3] teng_ong,drtan_guanhee [2] amazing,aurc [2] aurc,uaa [2] uaa,conference [2] conference,uaa2019 [2] uaa2019,di [2] di,negara Top Word Pairs in Tweet in G9:
[2] asia,congress Top Word Pairs in Tweet in G10:
[2] don,t [2] t,forget [2] forget,visit [2] visit,#uaa2019 [2] #uaa2019,see [2] see,approach [2] approach,mri [2] mri,targeted [2] targeted,biopsies [2] biopsies,see Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
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Top Mentioned in G4:
Top Mentioned in G5:
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Top Mentioned in G8:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G9:
Top Tweeters in G10: