The graph represents a network of 1,875 Twitter users whose tweets in the requested range contained "#radonc", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 17 November 2019 at 18:22 UTC.
The requested start date was Sunday, 17 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 53-minute period from Sunday, 03 November 2019 at 01:04 UTC to Sunday, 17 November 2019 at 00:58 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 : 1875
Unique Edges : 4364
Edges With Duplicates : 2925
Total Edges : 7289
Number of Edge Types : 3
Mentions : 6708
Replies to : 224
Tweet : 357
Self-Loops : 357
Reciprocated Vertex Pair Ratio : 0.0779443254817987
Reciprocated Edge Ratio : 0.144616607071911
Connected Components : 55
Single-Vertex Connected Components : 33
Maximum Vertices in a Connected Component : 1777
Maximum Edges in a Connected Component : 7162
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.941076
Graph Density : 0.00143265741728922
Modularity : 0.438899
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,875 Twitter users whose tweets in the requested range contained "#radonc", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 17 November 2019 at 18:22 UTC.
The requested start date was Sunday, 17 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 53-minute period from Sunday, 03 November 2019 at 01:04 UTC to Sunday, 17 November 2019 at 00:58 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 : GraphServerTwitterSearch
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:
[312] h,t [301] t,ncbi [300] ncbi,#radonc [300] #radonc,#pubmed [121] marie,curie's [106] #womenwhocurie,day [103] curie's,birthday [90] lung,cancer [83] radiation,therapy [78] marie,curie Top Word Pairs in Tweet in G1:
[84] #womenwhocurie,day [63] marie,curie's [47] curie's,birthday [38] sushilberiwal,tjroycemd [37] ðÿ,ðÿ [35] marie,curie [30] â,ï [29] rtendulkarmd,jamesbatesmd [28] honor,marie [26] tjroycemd,rtendulkarmd Top Word Pairs in Tweet in G2:
[38] _shankarsiva,sabr [38] crukresearch,radnet [34] sabr,panacea [34] panacea,investigators [34] investigators,utswcancer [34] utswcancer,show [34] show,sabr [34] sabr,boost [34] boost,pelvic [34] pelvic,#radiotherapy Top Word Pairs in Tweet in G3:
[310] h,t [301] t,ncbi [300] ncbi,#radonc [300] #radonc,#pubmed [72] radiation,therapy [66] lung,cancer [55] small,cell [53] cell,lung [40] non,small [32] cancer,h Top Word Pairs in Tweet in G4:
[13] #westwind,today [13] today,join [13] join,cardiothoracic [13] cardiothoracic,surgeon [13] surgeon,brendonstilesmd [13] brendonstilesmd,learn [13] learn,childhood [13] childhood,farm [13] farm,personal [13] â,ï Top Word Pairs in Tweet in G5:
[11] air,force [10] #veteransday,fellow [10] fellow,veterans [10] veterans,#radonc [10] #radonc,clecliniccancer [10] clecliniccancer,l [10] l,gt [10] gt,r [10] r,drjohnnyradonc [10] drjohnnyradonc,air Top Word Pairs in Tweet in G6:
[29] long,term [28] follow,up [27] delighted,finally [27] finally,out [27] out,long [27] term,follow [27] up,high [27] high,dose [27] dose,crt [27] crt,organ Top Word Pairs in Tweet in G7:
[11] #womenwhocurie,duke [7] important,slide [7] slide,possible [7] possible,high [7] high,quality [7] quality,randomized [7] randomized,#radonc [7] #radonc,#clinicaltrial [7] #clinicaltrial,#sarcoma [6] angelahong,important Top Word Pairs in Tweet in G8:
[8] dr,vera [8] vera,peters [7] interview,dr [7] dr,jennifer [7] jennifer,ingram [7] mother,dr [7] us_fda,commissioner [7] smiles,team [7] team,townsvillehhs [7] townsvillehhs,last Top Word Pairs in Tweet in G9:
[20] someone,please [20] please,please [20] please,explain [20] explain,patients [20] patients,living [20] living,#cancer [20] #cancer,active [20] active,treatment [20] treatment,post [20] post,treatment Top Word Pairs in Tweet in G10:
[4] radiation,shielding [4] shielding,products [4] products,services [4] veritas,medical [4] medical,solutions [3] #medphys,#radonc [3] ðÿ,ðÿ [3] services,solutions [3] save,space [3] space,time 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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