The graph represents a network of 1,191 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 Thursday, 07 November 2019 at 00:38 UTC.
The tweets in the network were tweeted over the 9-day, 1-hour, 40-minute period from Monday, 28 October 2019 at 22:53 UTC to Thursday, 07 November 2019 at 00:33 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 : 1191
Unique Edges : 3760
Edges With Duplicates : 1785
Total Edges : 5545
Number of Edge Types : 4
Mentions : 4003
Tweet : 198
Retweet : 1157
Replies to : 187
Self-Loops : 216
Reciprocated Vertex Pair Ratio : 0.049760040414246
Reciprocated Edge Ratio : 0.0948026948989413
Connected Components : 39
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 1091
Maximum Edges in a Connected Component : 5433
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.693735
Graph Density : 0.00293235682182193
Modularity : 0.478858
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,191 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 Thursday, 07 November 2019 at 00:38 UTC.
The tweets in the network were tweeted over the 9-day, 1-hour, 40-minute period from Monday, 28 October 2019 at 22:53 UTC to Thursday, 07 November 2019 at 00:33 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:
[240] h,t [232] t,ncbi [232] ncbi,#radonc [232] #radonc,#pubmed [76] us_fda,commissioner [69] stephen,hahn [56] #radonc,stephen [56] #fda,#fdacommissioner [55] nomination,#radonc [55] prostate,cancer Top Word Pairs in Tweet in G1:
[63] us_fda,commissioner [56] stephen,hahn [46] nomination,#radonc [46] #radonc,stephen [45] strong,support [45] support,nomination [45] commissioner,read [45] read,full [45] full,statement [45] statement,here Top Word Pairs in Tweet in G2:
[38] #radonc,research [34] crukresearch,radnet [25] forward,working [24] prostate,cancer [24] delighted,announce [24] announce,success [24] success,crukresearch [24] radnet,bid [24] bid,leeds [24] leeds,part Top Word Pairs in Tweet in G3:
[230] h,t [222] t,ncbi [222] ncbi,#radonc [222] #radonc,#pubmed [38] radiation,therapy [25] lung,cancer [22] #radonc,#radbio [21] #radres2019,#oncoalert [21] #oncoalert,rrs_radres [20] cancer,h Top Word Pairs in Tweet in G4:
[14] radiation,therapists [11] wouldn,t [10] h,n [10] #radonc,resident [10] happy,halloween [10] elekta,unity [10] unity,#mrlinac [9] #radonc,#radiotherapy [9] sent,#radonc [9] resident,back Top Word Pairs in Tweet in G5:
[12] #radiology,#radonc [9] #bcsm,#medonc [9] drattai,stickit2stage4 [9] stickit2stage4,tmprowell [9] tmprowell,gulleyj1 [9] gulleyj1,bernardafox [9] bernardafox,stales [8] asking,help [8] help,experts [8] experts,#leptomeningeal Top Word Pairs in Tweet in G6:
[19] actionrtherapy,#radonc [12] getting,set [12] set,up [12] up,ready [12] ready,great [12] great,day [12] day,#hncconf2019 [12] #hncconf2019,desk [12] desk,removing [12] removing,mask Top Word Pairs in Tweet in G8:
[4] contact,veritas [4] #medphys,#radonc [3] #radonc,#medphys [2] building,new [2] new,#cancercenter [2] #cancercenter,learn [2] learn,save [2] save,space [2] space,time [2] time,money Top Word Pairs in Tweet in G9:
[6] proton,therapy [5] thank,cathymcmorris [5] cathymcmorris,repkimschrier [5] repkimschrier,reprussfulcher [5] reprussfulcher,herrerabeutler [5] herrerabeutler,repjayapal [5] repjayapal,repderekkilmer [5] repderekkilmer,repnewhouse [5] repnewhouse,rep [5] rep,gianforte Top Word Pairs in Tweet in G10:
[3] amazing,aawr_org [3] aawr_org,session [3] session,#radres [3] #radres,#radfellows [3] #radfellows,#medstudent [3] #medstudent,considering [3] considering,#radiology [3] #radiology,#nucmed [3] #nucmed,#radonc [3] #radonc,#rsna19 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 G6:
Top Replied-To in G7:
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 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: