The graph represents a network of 1,046 Twitter users whose tweets in the requested range contained "#UroSoMe", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 10 November 2019 at 17:09 UTC.
The requested start date was Sunday, 10 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 6-minute period from Sunday, 27 October 2019 at 01:34 UTC to Sunday, 10 November 2019 at 00:41 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 : 1046
Unique Edges : 2100
Edges With Duplicates : 921
Total Edges : 3021
Number of Edge Types : 3
Mentions : 2790
Replies to : 69
Tweet : 162
Self-Loops : 162
Reciprocated Vertex Pair Ratio : 0.0809925093632959
Reciprocated Edge Ratio : 0.149848419229104
Connected Components : 49
Single-Vertex Connected Components : 22
Maximum Vertices in a Connected Component : 901
Maximum Edges in a Connected Component : 2825
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.454288
Graph Density : 0.0021123990229354
Modularity : 0.51649
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,046 Twitter users whose tweets in the requested range contained "#UroSoMe", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 10 November 2019 at 17:09 UTC.
The requested start date was Sunday, 10 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 6-minute period from Sunday, 27 October 2019 at 01:34 UTC to Sunday, 10 November 2019 at 00:41 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 : #UroSoMe
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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[85] â,ï [79] prã,stata [56] marekbabjuk,#enbloc [46] #wce2019,#urosome [45] ðÿ,ðÿ [42] #urology,#urosome [40] cã,ncer [40] ncer,prã [39] ï,cancer [39] cancer,prã Top Word Pairs in Tweet in G1:
[40] #wce2019,#urosome [24] #urosome,endo_society [19] ðÿ,ðÿ [17] great,job [16] #holep,#urosome [16] #urology,#urosome [16] abu,dhabi [15] s,call [15] job,fcafigueiredo [15] fcafigueiredo,#aeep Top Word Pairs in Tweet in G2:
[42] marekbabjuk,#enbloc [26] collings,knife [23] #enbloc,#turbt [23] #turbt,#erbt [23] #erbt,#nmibc [23] #nmibc,use [23] use,collings [23] knife,posterior [23] posterior,aspect [23] aspect,#bladdercancer Top Word Pairs in Tweet in G3:
[18] progress,being [18] being,made [18] made,men [18] men,#prostatecancer [18] #prostatecancer,amerurological [18] amerurological,policy [18] policy,statement [18] statement,supporting [18] supporting,use [18] use,mri Top Word Pairs in Tweet in G4:
[31] written,coverage [30] urotoday,gt [24] gt,endo_society [23] ucirvine,urotoday [20] endo_society,uci_urology [19] uci_urology,#urosome [8] coverage,rajivbkarani [7] rajivbkarani,ucirvine [7] urotoday,#wce2019 [6] coverage,xielillian Top Word Pairs in Tweet in G5:
[77] â,ï [77] prã,stata [39] cã,ncer [39] ncer,prã [38] ï,cancer [38] cancer,prã [36] socargurologia,â [20] ï,unã [20] unã,monos [20] monos,difundamos Top Word Pairs in Tweet in G6:
[8] join,wednesday [8] wednesday,oct [8] oct,30 [8] 30,10am [8] 10am,video [8] video,session [8] session,v01 [8] v01,watch [8] watch,step [8] step,step Top Word Pairs in Tweet in G7:
[7] #tnt2019,#urosome [6] mateusschettino,#tnt2019 [5] drtevaho,fgomsan [5] sometimes,solve [5] solve,endourology [5] endourology,conventional [5] conventional,surgery [5] surgery,result [5] result,100 [5] 100,w Top Word Pairs in Tweet in G8:
[12] 1st,antegrade [11] history,#pcnl [11] #pcnl,1941 [11] 1941,rupel [11] rupel,brown [11] brown,1st [11] 1st,nephroscopy [11] nephroscopy,1955 [11] 1955,willard [11] willard,goodwi Top Word Pairs in Tweet in G9:
[8] #urosome,urologia12 [5] huang,3a [5] 3a,emphysematous [5] emphysematous,pyelonephritis [5] pyelonephritis,63 [5] 63,diabetic [5] diabetic,female [5] female,ureter [5] ureter,w [5] w,gas Top Word Pairs in Tweet in G10:
[4] ðÿ,ðÿ [4] #urosome,#urology [2] tumor,thrombus [2] #urosome,#prostatecancer [2] give,time [2] #urology,#uroresident Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: