The graph represents a network of 1,049 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, 03 November 2019 at 16:09 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 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, 22-hour, 8-minute period from Sunday, 20 October 2019 at 00:17 UTC to Saturday, 02 November 2019 at 22:26 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 : 1049
Unique Edges : 2013
Edges With Duplicates : 961
Total Edges : 2974
Number of Edge Types : 3
Mentions : 2749
Replies to : 66
Tweet : 159
Self-Loops : 159
Reciprocated Vertex Pair Ratio : 0.068007662835249
Reciprocated Edge Ratio : 0.127354260089686
Connected Components : 41
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 913
Maximum Edges in a Connected Component : 2771
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.255283
Graph Density : 0.00202846767914189
Modularity : 0.536596
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,049 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, 03 November 2019 at 16:09 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 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, 22-hour, 8-minute period from Sunday, 20 October 2019 at 00:17 UTC to Saturday, 02 November 2019 at 22:26 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:
[58] need,know [58] know,troubleshooting [58] troubleshooting,management [58] management,pcnl [58] pcnl,complications [58] complications,please [58] please,enjoy [58] enjoy,reading [58] reading,share [58] urotoday,#siu2019 Top Word Pairs in Tweet in G1:
[39] need,know [39] know,troubleshooting [39] troubleshooting,management [39] management,pcnl [39] pcnl,complications [39] complications,please [39] please,enjoy [39] enjoy,reading [39] reading,share [38] urologeman,need Top Word Pairs in Tweet in G2:
[37] #wce2019,#urosome [28] abu,dhabi [21] #cookuro,#urology [20] #urosome,endo_society [19] #urology,#urosome [16] team,attending [16] attending,37th [16] 37th,world [16] world,congress [16] congress,endourology Top Word Pairs in Tweet in G3:
[39] progress,being [39] being,made [39] made,men [39] men,#prostatecancer [39] #prostatecancer,amerurological [39] amerurological,policy [39] policy,statement [39] statement,supporting [39] supporting,use [39] use,mri Top Word Pairs in Tweet in G4:
[58] urotoday,#siu2019 [52] written,coverage [35] #siuworld,#urosome [34] siu_urology,#siuworld [32] coverage,goldberghanan [30] goldberghanan,upstatenews [30] upstatenews,urotoday [30] urotoday,gt [30] gt,siu_urology [16] part,one Top Word Pairs in Tweet in G5:
[14] 1st,antegrade [13] history,#pcnl [13] #pcnl,1941 [13] 1941,rupel [13] rupel,brown [13] brown,1st [13] 1st,nephroscopy [13] nephroscopy,1955 [13] 1955,willard [13] willard,goodwi Top Word Pairs in Tweet in G6:
[5] erectile,dysfunction [5] geht,gesru [5] gesru,weiter [5] weiter,spannende [5] spannende,diskussion [5] diskussion,vielen [5] vielen,neuen [5] neuen,gesichtern [5] gesichtern,unserem [5] unserem,gesru_de Top Word Pairs in Tweet in G7:
[7] short,mri [7] mri,protocols [7] protocols,improve [7] improve,prostate [7] prostate,mri [7] mri,accessibility [7] accessibility,lower [7] lower,direct [7] direct,cost [7] cost,published Top Word Pairs in Tweet in G8:
[4] ondas,choque [4] choque,disfunción [4] disfunción,eréctil [4] eréctil,eficaces [4] eficaces,diferentes [4] diferentes,generadores [4] generadores,ondas [4] ondas,protocolo [3] update,aua [3] aua,policy Top Word Pairs in Tweet in G9:
[11] albertobudiaalb,presenting [11] presenting,rct [11] rct,litcontrol [11] litcontrol,demonstrating [11] demonstrating,reduces [11] reduces,more [11] more,8 [11] 8,fold [11] fold,stents [10] rosendogarganta,albertobudiaalb Top Word Pairs in Tweet in G10:
[5] atriumhealth,levinecancer [3] urology,resident [3] 4th,annual [3] cmcurology,atriumhealth [3] north,carolina [3] #urosome,#urology [2] resident,debates [2] debates,cmcurology [2] cmcurology,blairtownsendmd [2] blairtownsendmd,jaredbrown1018 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
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: