The graph represents a network of 1,327 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 Tuesday, 05 November 2019 at 16:28 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 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, 27-minute period from Sunday, 20 October 2019 at 00:02 UTC to Saturday, 02 November 2019 at 23:30 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 : 1327
Unique Edges : 2924
Edges With Duplicates : 1806
Total Edges : 4730
Number of Edge Types : 3
Mentions : 4341
Replies to : 127
Tweet : 262
Self-Loops : 262
Reciprocated Vertex Pair Ratio : 0.0586709886547812
Reciprocated Edge Ratio : 0.110838946723821
Connected Components : 41
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 1232
Maximum Edges in a Connected Component : 4622
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.935781
Graph Density : 0.00185610155023693
Modularity : 0.429051
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,327 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 Tuesday, 05 November 2019 at 16:28 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 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, 27-minute period from Sunday, 20 October 2019 at 00:02 UTC to Saturday, 02 November 2019 at 23:30 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:
[371] h,t [351] t,ncbi [345] ncbi,#radonc [338] #radonc,#pubmed [91] radiation,therapy [64] radiation,oncology [62] us_fda,commissioner [62] head,neck [56] stephen,hahn [56] prostate,cancer Top Word Pairs in Tweet in G1:
[41] us_fda,commissioner [40] stephen,hahn [33] nomination,#radonc [32] read,full [32] strong,support [32] support,nomination [31] breaking,astro [31] astro,expresses [31] expresses,strong [31] #radonc,stephen Top Word Pairs in Tweet in G2:
[40] radiation,biology [39] clinical,radiation [29] henningwillers,clinical [27] biology,trivia [24] hey,#radonc [19] subatomicdoc,hey [19] #radonc,interesting [19] interesting,areas [19] areas,multi [19] multi,author Top Word Pairs in Tweet in G3:
[16] gerryhanna,great [15] great,see [14] raising,awareness [13] see,results [13] results,pace [13] pace,b [13] b,study [13] study,led [13] led,nickva1 [13] nickva1,published Top Word Pairs in Tweet in G4:
[364] h,t [347] t,ncbi [344] ncbi,#radonc [338] #radonc,#pubmed [71] radiation,therapy [35] cancer,h [33] prostate,cancer [30] radiation,oncology [29] radiotherapy,h [25] lung,cancer Top Word Pairs in Tweet in G5:
[15] hey,#radonc [14] #radonc,interesting [14] interesting,areas [14] areas,multi [14] multi,author [14] author,blogging [14] blogging,rad_nation [14] rad_nation,here [14] here,6 [14] 6,question Top Word Pairs in Tweet in G6:
[21] head,neck [20] 2,weeks [20] neck,cancer [19] weeks,displaying [19] displaying,maskart [19] maskart,inspired [19] inspired,swallowsgroup [19] swallowsgroup,raising [19] raising,awareness [19] awareness,head Top Word Pairs in Tweet in G7:
[8] cifarelli,et [8] et,report [8] report,joint [8] joint,x [8] x,germany [8] germany,study [8] study,describing [8] describing,concept [8] concept,intraoperative [8] intraoperative,radiation Top Word Pairs in Tweet in G8:
[6] future,want [6] want,patients [6] patients,experience [6] experience,personalised [6] personalised,adaptive [6] adaptive,novel [6] novel,always [6] always,pleasure [6] pleasure,hear [5] leedsrtresearch,future Top Word Pairs in Tweet in G9:
[3] #radonc,#cancer [3] #radonc,#medphys [3] veritas',verishield [2] happy,halloween [2] build,better [2] better,#protontherapy [2] #protontherapy,#radiotherapy [2] #radiotherapy,room [2] room,veritas [2] veritas,think Top Word Pairs in Tweet in G10:
[2] #radonc,#physician_scientists [2] #physician_scientists,represent [2] represent,#pcfretreat19 [2] #pcfretreat19,pcf_science Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: