The graph represents a network of 707 Twitter users whose recent tweets contained "#radonc", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 06 January 2023 at 22:10 UTC.
The tweets in the network were tweeted over the 10-day, 6-hour, 20-minute period from Tuesday, 27 December 2022 at 15:39 UTC to Friday, 06 January 2023 at 21:59 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 : 707
Unique Edges : 1464
Edges With Duplicates : 370
Total Edges : 1834
Number of Edge Types : 5
Mentions : 368
Retweet : 531
Tweet : 168
MentionsInRetweet : 734
Replies to : 33
Self-Loops : 173
Reciprocated Vertex Pair Ratio : 0.0484429065743945
Reciprocated Edge Ratio : 0.0924092409240924
Connected Components : 41
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 594
Maximum Edges in a Connected Component : 1647
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.686577
Graph Density : 0.00303520841764468
Modularity : 0.659779
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 707 Twitter users whose recent tweets contained "#radonc", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 06 January 2023 at 22:10 UTC.
The tweets in the network were tweeted over the 10-day, 6-hour, 20-minute period from Tuesday, 27 December 2022 at 15:39 UTC to Friday, 06 January 2023 at 21:59 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 : TwitterSearch
Graph Term : #radonc
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[40] #radonc,#medphys [38] calendar,teaching [38] teaching,courses [37] #medphys,#radonc [31] estro_rt,astro_org [29] oral,cavity [28] #oncology,#radonc [27] protons,year [27] #radonc,#oncoalert [27] hmm,protons Top Word Pairs in Tweet in G1:
[34] teaching,courses [34] calendar,teaching [27] estro_rt,astro_org [26] #radonc,#oncoalert [23] tool,clinicians [23] apbi,imrt [23] astro_org,liviamarrazzo [23] #medphys,oncoalert [23] liviamarrazzo,gabsimontacchi [23] imrt,florence Top Word Pairs in Tweet in G2:
[20] higher,rbe [20] protons,one [20] one,possibility [20] year,orn [20] oral,cavity [20] point,higher [20] protons,year [20] podcast,discussion [20] sharing,publishing [20] credit,sharing Top Word Pairs in Tweet in G3:
[20] smoking,history [16] lung,cancer [10] #lcsm,#radonc [8] move,#lcsm [8] patient's,smoking [8] history,move [8] opening,sentence [8] more,reasons [8] jillfeldman4,stop [8] need,highlighted Top Word Pairs in Tweet in G4:
[17] #radonc,residents [15] rank,list [12] medical,students [11] #radonc,year [11] year,sign [11] session,finalizing [11] attention,medical [11] applying,#radonc [11] sign,session [11] hope,see Top Word Pairs in Tweet in G5:
[18] winter,school [18] #medphys,#radonc [18] #compws2023,#medphys [15] comp,winter [11] registration,ends [11] early,registration [8] early,bird [7] way,presented [7] breast,pbi [7] planning,florentine Top Word Pairs in Tweet in G6:
[18] escuchar,mirar [18] acompañar,ayudar [18] miedos,afrontarlos [18] humana,#radonc [18] pacientes,pantalla [18] medicina,humana [18] mirar,miedos [18] ojos,pacientes [18] hacer,diagnóstico [18] sea,dándoles Top Word Pairs in Tweet in G7:
[13] radiation,oncology [10] focused,ultrasound [9] #futureradoncres,#radoncres [7] northwell's,best [7] #medphys,#radtherapist [7] best,radiation [7] next,week [7] register,#radonc [7] anujgoenkamd,pottersmd [6] #crcsm,#hpbcsm Top Word Pairs in Tweet in G8:
[10] critical,care [10] grand,rounds [10] 11am,parkview [10] professor,aadel_chaudhuri [10] jan,11am [10] care,grand [10] presenting,exciting [10] parkview,tower [10] assistant,professor [10] wustlmed,pulmonary Top Word Pairs in Tweet in G9:
[7] mghcancercenter,harvardmed [7] go,looking [7] jimbrinkmd,mghradoncsearch [7] #radonc,mghcancercenter [7] looking,chief [7] year,go [7] applicants,#twitter [7] harvard,edu [7] requirement,applicants [7] chief,#radonc Top Word Pairs in Tweet in G10:
[5] confidential,utpress [5] #doctors,#patients [5] #radonc,#radiotherapy [3] wed,jan [3] #cancer,confidential [3] #astro22,#radonc [3] #radiotherapy,rad__chat [3] talk,thenosm [3] watch,co [3] during,talk 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 G8:
Top Replied-To in G9:
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 G7:
Top Mentioned in G8:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: