The graph represents a network of 289 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 Sunday, 11 August 2019 at 01:48 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 15-minute period from Friday, 02 August 2019 at 08:08 UTC to Sunday, 11 August 2019 at 01:23 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 : 289
Unique Edges : 1025
Edges With Duplicates : 1271
Total Edges : 2296
Number of Edge Types : 4
Mentions : 1688
Retweet : 406
Replies to : 122
Tweet : 80
Self-Loops : 81
Reciprocated Vertex Pair Ratio : 0.115843270868825
Reciprocated Edge Ratio : 0.20763358778626
Connected Components : 13
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 263
Maximum Edges in a Connected Component : 2259
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.643083
Graph Density : 0.015739138792772
Modularity : 0.282597
NodeXL Version : 1.0.1.412
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[59] #uaa2019,#urosome [53] uaa2019,#uaa2019 [41] #uaa2019,uaa2019 [36] amerurological,uroweb [31] prostate,cancer [26] uroweb,amerurological [24] uaa2019,uroweb [23] siu_urology,bjuijournal [22] lecture,#uaa2019 [21] kuala,lumpur Top Word Pairs in Tweet in G1:
[35] #uaa2019,#urosome [10] #uaa2019,uaa2019 [10] uaa2019,#uaa2019 [10] prostate,cancer [9] non,muscle [9] muscle,invasive [9] invasive,#bladdercancer [8] bladder,cancer [8] #urosome,#uaa2019 [8] #urosome,friends Top Word Pairs in Tweet in G2:
[18] uroweb,amerurological [15] lecture,#uaa2019 [15] 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 Top Word Pairs in Tweet in G3:
[29] uaa2019,#uaa2019 [16] amerurological,uroweb [15] #urology,conference [15] conference,recommendations [15] recommendations,#bicycle [15] #bicycle,seats [15] seats,avoid [15] avoid,pressure [15] pressure,cavernosal [15] cavernosal,vessels Top Word Pairs in Tweet in G4:
[15] dukegucancer,dukeurology [11] #uaa2019,#kualalumpur [10] #uaa2019,#urosome [8] ipi,nivo [7] dukeurology,dukegucancer [6] metastatic,#kidneycancer [6] best,oral [6] oral,presentation [6] eb,star [6] dukeurology,uaa2019 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] watch,editor [3] editor,chief [3] chief,dr [3] dr,prokar [3] prokar,dasgupta [3] dasgupta,talk [3] talk,importance [3] importance,nice [3] nice,guidance [3] guidance,#baus2018 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 G10:
[7] #uaa2019,dr [5] hong,kong [4] #uaa2019,today's [4] today's,special [4] special,masterclass [4] masterclass,mri [4] mri,#fusionbiopsy [4] #fusionbiopsy,literature [4] literature,guidelines [4] guidelines,review Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G4:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: