The graph represents a network of 1,019 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, 26 April 2019 at 13:09 UTC.
The tweets in the network were tweeted over the 9-day, 10-hour, 45-minute period from Wednesday, 17 April 2019 at 02:18 UTC to Friday, 26 April 2019 at 13:04 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 : 1019
Unique Edges : 3227
Edges With Duplicates : 1232
Total Edges : 4459
Number of Edge Types : 4
Mentions : 2978
Retweet : 1181
Tweet : 179
Replies to : 121
Self-Loops : 191
Reciprocated Vertex Pair Ratio : 0.050297619047619
Reciprocated Edge Ratio : 0.0957778407480873
Connected Components : 30
Single-Vertex Connected Components : 11
Maximum Vertices in a Connected Component : 949
Maximum Edges in a Connected Component : 4369
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.340452
Graph Density : 0.00340196386534046
Modularity : 0.491864
NodeXL Version : 1.0.1.411
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[128] oncology_bg,vprasadmdmph [122] 0,5 [116] top,10 [114] cancer,drugs [111] 10,best [111] best,selling [111] selling,cancer [111] drugs,2018 [111] 2018,5 [111] 5,bevacizumab Top Word Pairs in Tweet in G1:
[46] check,out [33] #radonc,study [30] wish,someone [30] someone,make [30] make,filterable [30] filterable,list [30] list,best [30] best,#radonc [30] study,resources [30] resources,more Top Word Pairs in Tweet in G2:
[33] #medphys,#radonc [23] calling,physicists [23] physicists,survey [23] survey,pop [23] pop,art [23] art,developed [23] developed,during [23] during,#estrowp2 [23] #estrowp2,looks [23] looks,patterns Top Word Pairs in Tweet in G3:
[96] oncology_bg,vprasadmdmph [83] cancer,drugs [82] top,10 [82] 10,best [82] best,selling [82] selling,cancer [82] drugs,2018 [82] 2018,5 [82] 5,bevacizumab [82] bevacizumab,6 Top Word Pairs in Tweet in G4:
[26] single,fraction [24] radiation,therapy [22] high,dose [21] dose,single [21] fraction,stereotactic [21] stereotactic,body [21] body,radiation [21] therapy,#sbrt [21] #sbrt,predominantly [21] predominantly,non Top Word Pairs in Tweet in G5:
[33] cancerfrontline,#radonc [26] #radonc,#endcancer [21] using,real [21] real,time [21] time,#mri [21] #mri,technology [21] technology,physicians [21] physicians,pinpoint [21] pinpoint,#cancer [21] #cancer,tumors Top Word Pairs in Tweet in G6:
[92] #cancer,#radonc [68] #hcsmeufr,#accuraysynchrony [60] #radonc,#radiothérapie [60] #radiothérapie,#hcsmeufr [57] #accuraysynchrony,#accuraypatientfirst [51] #épisode1,sur [51] sur,route [51] route,madison [51] madison,j [51] j,irai Top Word Pairs in Tweet in G7:
[22] #radiology,#radonc [11] radiation,therapy [8] radiation,oncology [8] #medphys,#radonc [7] rectal,cancer [7] #radonc,#medphys [7] #radiology,#medphys [6] indications,barriers [6] barriers,paths [6] paths,advancement Top Word Pairs in Tweet in G8:
[9] dr,rom [9] rom,leidner [9] leidner,#headandneckcancer [9] guru,chilesresearch [9] chilesresearch,provhealth [9] provhealth,talks [9] slide,set [9] bms_immunonc_us,incyte [9] incyte,merck [9] merck,astrazeneca Top Word Pairs in Tweet in G9:
[3] many,thanks [3] thanks,vumchemonc [2] #vumcradoncrocks,#radonc [2] always,love [2] love,interactive [2] interactive,talk [2] talk,many [2] vumchemonc,assoc [2] assoc,prof [2] prof,michael Top Word Pairs in Tweet in G10:
[4] mo,vs [3] #pcsm,#radonc [3] #radonc,costs [3] costs,less [3] less,top [3] top,10 [3] 10,oncology [3] oncology,drugs [3] drugs,s [3] s,really 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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Top Tweeters in G10: