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 : 529
Edges With Duplicates : 351
Total Edges : 880
Self-Loops : 68
Reciprocated Vertex Pair Ratio : 0.0767888307155323
Reciprocated Edge Ratio : 0.142625607779579
Connected Components : 6
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 162
Maximum Edges in a Connected Component : 873
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.58586
Graph Density : 0.0219917308240662
Modularity : 0.364997
NodeXL Version : 1.0.1.441
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 : Followers
Vertex Alpha : Followers
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:
[10] ijgconline,ijgcfellows [9] #igcs2020,igcsociety [7] igcsociety,ijgconline [7] global,meeting [6] #ovariancancer,#igcs2020 [5] #igcs2020,#gynoncology [5] ovarian,cancer [5] present,ijgc [5] click,link [5] link,article Top Word Pairs in Tweet in G3:
[10] #igcs2020,#gyncsm [9] kelim,indicator [9] indicator,chemosensitivity [9] chemosensitivity,prognostic [9] prognostic,factor [9] factor,progression [9] progression,free [9] free,survival [9] survival,velia [9] velia,gog Top Word Pairs in Tweet in G4:
[9] #igcs2020,dukeobgyn [9] dukeobgyn,dukecancer [6] janice,wong [5] way,go [5] go,janice [5] wong,presenting [5] presenting,work [5] work,research [5] research,year [5] year,dukemedschool Top Word Pairs in Tweet in G5:
[3] catch,up [3] looking,forward [2] sessions,#igcs2020 [2] igcsociety,esgo_society [2] catching,up [2] forward,seeing Top Word Pairs in Tweet in G6:
[4] marie,plante [3] itcs,#endometrialcancer [3] #endometrialcancer,don [3] don,t [3] t,seem [3] seem,negatively [3] negatively,impact [3] impact,survival [3] survival,treatment [3] treatment,patients 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:
[3] latest,coping [3] coping,big [3] big,c [3] c,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 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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: