The graph represents a network of 168 Twitter users whose recent tweets were included in a list (Tweet ID List - #IGCS2020) of 338 tweet IDs, or who were replied to or mentioned in those tweets. 338 out of 338 tweets were collected. The network was obtained from Twitter on Wednesday, 21 October 2020 at 15:52 UTC.
The tweets in the network were tweeted over the 48-day, 22-hour, 36-minute period from Monday, 31 August 2020 at 17:45 UTC to Monday, 19 October 2020 at 16:22 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 : 168
Unique Edges : 544
Edges With Duplicates : 355
Total Edges : 899
Number of Edge Types : 5
Replies to : 19
Mentions : 236
MentionsInRetweet : 375
Retweet : 198
Tweet : 71
Self-Loops : 71
Reciprocated Vertex Pair Ratio : 0.0803418803418803
Reciprocated Edge Ratio : 0.14873417721519
Connected Components : 6
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 162
Maximum Edges in a Connected Component : 892
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.577937
Graph Density : 0.022526375819789
Modularity : 0.364857
NodeXL Version : 1.0.1.441
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=238419
Data Import : The graph represents a network of 168 Twitter users whose recent tweets were included in a list (Tweet ID List - #IGCS2020) of 338 tweet IDs, or who were replied to or mentioned in those tweets. 338 out of 338 tweets were collected. The network was obtained from Twitter on Wednesday, 21 October 2020 at 15:52 UTC.
The tweets in the network were tweeted over the 48-day, 22-hour, 36-minute period from Monday, 31 August 2020 at 17:45 UTC to Monday, 19 October 2020 at 16:22 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 : TwitterIDList
Graph Term : Tweet ID List - #IGCS2020
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 Entire Graph:
[39] ovarian,cancer [32] global,meeting [28] annual,global [23] xdigital,annual [21] #ovariancancer,#igcs2020 [20] utc,#igcs2020 [19] cancer,surgery [19] #igcs2020,#gyncsm [18] gynecologic,cancer [17] 2020,xdigital Top Word Pairs in Tweet in G1:
[26] ovarian,cancer [22] global,meeting [21] annual,global [18] xdigital,annual [13] utc,#igcs2020 [13] 2020,xdigital [13] #gocc,#powerfultogether [11] xdigital,meeting [11] global,ovarian [11] cancer,charter Top Word Pairs in Tweet in G2:
[12] ijgconline,ijgcfellows [10] ovarian,cancer [10] #igcs2020,igcsociety [10] global,meeting [9] master,session [7] dr,sven [7] sven,mahner [7] mahner,discussing [7] discussing,ongoing [7] ongoing,trust Top Word Pairs in Tweet in G3:
[8] kelim,indicator [8] indicator,chemosensitivity [8] chemosensitivity,prognostic [8] prognostic,factor [8] factor,progression [8] progression,free [8] free,survival [8] survival,velia [8] velia,gog [8] gog,3005 Top Word Pairs in Tweet in G4:
[12] #igcs2020,dukeobgyn [12] dukeobgyn,dukecancer [8] janice,wong [6] way,go [6] go,janice [6] wong,presenting [6] presenting,work [6] work,research [6] research,year [6] year,dukemedschool Top Word Pairs in Tweet in G5:
[3] looking,forward [2] sessions,#igcs2020 [2] igcsociety,esgo_society [2] forward,seeing Top Word Pairs in Tweet in G6:
[3] #hipec,#primetime [3] #primetime,#debate [3] #debate,#ovariancancer [3] #ovariancancer,#igcs2020 [3] #igcs2020,wvdriel [3] wvdriel,igcsociety Top Word Pairs in Tweet in G7:
[2] during,gynecologic [2] gynecologic,cancer [2] cancer,surgery [2] attending,#igcs2020 [2] #igcs2020,preinvasive [2] preinvasive,disease [2] disease,lower [2] lower,genital [2] genital,tract [2] tract,session Top Word Pairs in Tweet in G8:
[4] marie,plante [3] itcs,#endometrialcancer [3] #endometrialcancer,don [3] don,seem [3] seem,negatively [3] negatively,impact [3] impact,survival [3] survival,treatment [3] treatment,patients [3] patients,based Top Word Pairs in Tweet in G9:
[3] latest,coping [3] coping,big [3] big,thanks [3] thanks,bcrt [3] bcrt,neuroendocrine_ [3] neuroendocrine_,mdandersonnews [3] mdandersonnews,#leukemia [3] #leukemia,#igcs2020 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 Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: