The graph represents a network of 1,119 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, 24 May 2020 at 15:35 UTC.
The requested start date was Sunday, 24 May 2020 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, 21-hour, 19-minute period from Sunday, 10 May 2020 at 02:13 UTC to Saturday, 23 May 2020 at 23:33 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 : 1119
Unique Edges : 1308
Edges With Duplicates : 2080
Total Edges : 3388
Number of Edge Types : 5
Retweet : 820
MentionsInRetweet : 1473
Mentions : 888
Tweet : 162
Replies to : 45
Self-Loops : 165
Reciprocated Vertex Pair Ratio : 0.0505758637956935
Reciprocated Edge Ratio : 0.0962821734985701
Connected Components : 63
Single-Vertex Connected Components : 30
Maximum Vertices in a Connected Component : 973
Maximum Edges in a Connected Component : 3162
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.453662
Graph Density : 0.00167700205109021
Modularity : 0.478554
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 1,119 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, 24 May 2020 at 15:35 UTC.
The requested start date was Sunday, 24 May 2020 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, 21-hour, 19-minute period from Sunday, 10 May 2020 at 02:13 UTC to Saturday, 23 May 2020 at 23:33 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in G2:
[16] juan,gómez [16] dear,#urosome [16] #urosome,friends [16] friends,dr [16] dr,juan [16] gómez,rivas [16] rivas,paz [16] paz,university [15] university,spain [15] spain,elected Top Word Pairs in Tweet in G3:
[34] learn,more [33] impact,#covid19 [32] save,date [32] date,discussing [32] discussing,impact [32] #covid19,#meded [32] #meded,tuesday [32] tuesday,26 [32] 26,17h [32] 17h,pt Top Word Pairs in Tweet in G4:
[8] urology,lowest [8] lowest,percentage [7] percentage,women [7] women,physicians [7] physicians,medical [7] medical,speciality [7] speciality,time [7] time,change [7] loebstacy,urology [7] change,#ilooklikeaurologi Top Word Pairs in Tweet in G5:
[61] #urology,#urosome [61] gold,journal [61] learn,more [61] journal,become [61] become,official [61] official,journal [61] journal,gurs [61] gurs,learn [60] more,#urology [60] els_urology,gold Top Word Pairs in Tweet in G6:
[36] bladder,cancer [21] dra_grisel_uro,sxochiquetzal1 [20] found,big [19] big,ol [19] ol,coronavirus [19] coronavirus,patient [19] patient,bladder [19] bladder,domesypantsx3 [19] domesypantsx3,yesterday [18] yesterday,add Top Word Pairs in Tweet in G7:
[7] seeing,lot [6] lot,people [6] people,public [6] public,wearing [6] wearing,masks [6] masks,incorrectly [6] incorrectly,hopefully [6] hopefully,cartoon [6] cartoon,clarifies [6] clarifies,issue Top Word Pairs in Tweet in G8:
[25] selamat,hari [25] hari,jururawat [25] jururawat,happy [25] happy,nurse [25] nurse,day [25] day,thank [25] thank,service [25] service,doctors [25] doctors,know [25] know,without Top Word Pairs in Tweet in G9:
[7] black,silicone [7] silicone,stent [7] stent,used [7] used,comparison [7] comparison,silicone [7] silicone,versus [7] versus,polyurethane [7] polyurethane,ureteral [7] ureteral,stents [7] stents,prospective Top Word Pairs in Tweet in G10:
[11] india,time [11] time,23rd [11] 23rd,30 [11] 30,pm [11] pm,sharp [11] sharp,link [11] link,unraveling [11] unraveling,prostate [11] prostate,modern [11] modern,modalities2020 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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