The graph represents a network of 1,066 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, 22 November 2019 at 20:14 UTC.
The tweets in the network were tweeted over the 9-day, 6-hour, 18-minute period from Wednesday, 13 November 2019 at 13:49 UTC to Friday, 22 November 2019 at 20:07 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 : 1066
Unique Edges : 3032
Edges With Duplicates : 1812
Total Edges : 4844
Number of Edge Types : 4
Retweet : 1041
Mentions : 3480
Tweet : 195
Replies to : 128
Self-Loops : 207
Reciprocated Vertex Pair Ratio : 0.0567310640907697
Reciprocated Edge Ratio : 0.107370864770749
Connected Components : 42
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 987
Maximum Edges in a Connected Component : 4756
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.766086
Graph Density : 0.00303534779659823
Modularity : 0.465713
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,066 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, 22 November 2019 at 20:14 UTC.
The tweets in the network were tweeted over the 9-day, 6-hour, 18-minute period from Wednesday, 13 November 2019 at 13:49 UTC to Friday, 22 November 2019 at 20:07 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[415] h,t [350] t,ncbi [350] ncbi,#radonc [350] #radonc,#pubmed [88] lung,cancer [75] follow,up [67] cancer,patients [62] radiation,therapy [62] t,ieeexplore [62] ieeexplore,#radonc Top Word Pairs in Tweet in G1:
[27] future,#radonc [22] anyone,find [22] find,ironic [22] ironic,future [22] #radonc,being [22] being,questioned [22] questioned,time [22] time,president [22] president,elect [22] elect,asco Top Word Pairs in Tweet in G2:
[38] #lka,#srilanka [34] cancer,patients [29] #radonc,#gerionc [26] #oncology,#radonc [25] actually,gt [25] gt,50 [25] 50,cancer [25] patients,#radiationtherapy [25] #radiationtherapy,less [25] less,one Top Word Pairs in Tweet in G3:
[16] #radonc,#radbio [14] #lcsm,#lcam [12] clinical,radiation [12] radiation,biology [12] biology,trivia [12] radiation,oncology [11] 6th,annual [11] annual,#protontherapy [11] #protontherapy,course [8] brca,mutant Top Word Pairs in Tweet in G4:
[22] #radonc,#btsm [21] re,irradiation [20] drbpress,wallyjc [17] study,showing [17] showing,risk [17] risk,leptomeningeal [17] leptomeningeal,disease [17] disease,hemorrhagic [17] hemorrhagic,cystic [17] cystic,brain Top Word Pairs in Tweet in G5:
[52] follow,up [30] long,term [26] delighted,finally [26] finally,out [26] out,long [26] term,follow [26] up,high [26] high,dose [26] dose,crt [26] crt,organ Top Word Pairs in Tweet in G6:
[17] looking,forward [16] phuoc,tran [16] tran,colleagues [16] colleagues,johnshopkins [16] johnshopkins,publish [16] publish,series [16] series,#sabr [16] #sabr,#prostatecancer [16] #prostatecancer,oligometastases [16] oligometastases,mixed Top Word Pairs in Tweet in G7:
[14] #radiology,#radonc [11] #radonc,#prostatecancer [10] see,much [10] much,amazed [10] amazed,rct [10] rct,accomplished [10] accomplished,rare [10] rare,condition [10] condition,took [10] took,5 Top Word Pairs in Tweet in G8:
[390] h,t [325] t,ncbi [325] ncbi,#radonc [325] #radonc,#pubmed [62] t,ieeexplore [62] ieeexplore,#radonc [56] cancer,h [53] lung,cancer [41] small,cell [41] cell,lung Top Word Pairs in Tweet in G9:
[6] #medphys,aapmhq [6] aapmhq,#radonc [6] #radonc,astro_org [5] beautiful,results [5] results,mould [5] mould,#brachytherapy [5] #brachytherapy,#skincancer [5] #skincancer,elderly [5] elderly,patient [5] patient,ktmcancercenter Top Word Pairs in Tweet in G10:
[6] radiation,shielding [4] shielding,products [4] products,services [2] site,eg [2] visit,veritas [2] veritas,website [2] website,info [2] info,radiation [2] services,complete [2] complete,project Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: