The graph represents a network of 1,342 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, 01 December 2019 at 19:43 UTC.
The requested start date was Sunday, 01 December 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, 51-minute period from Sunday, 17 November 2019 at 01:07 UTC to Sunday, 01 December 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 : 1342
Unique Edges : 2801
Edges With Duplicates : 2197
Total Edges : 4998
Number of Edge Types : 3
Mentions : 4539
Replies to : 167
Tweet : 292
Self-Loops : 292
Reciprocated Vertex Pair Ratio : 0.0681074001309758
Reciprocated Edge Ratio : 0.127529123237278
Connected Components : 39
Single-Vertex Connected Components : 19
Maximum Vertices in a Connected Component : 1241
Maximum Edges in a Connected Component : 4869
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.892103
Graph Density : 0.00181260286882468
Modularity : 0.424504
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,342 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, 01 December 2019 at 19:43 UTC.
The requested start date was Sunday, 01 December 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, 51-minute period from Sunday, 17 November 2019 at 01:07 UTC to Sunday, 01 December 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[427] ncbi,#radonc [427] #radonc,#pubmed [94] lung,cancer [75] radiation,therapy [71] ieeexplore,#radonc [67] prostate,cancer [55] breast,cancer [53] head,neck [52] cancer,patients [51] radiation,oncology Top Word Pairs in Tweet in G1:
[25] future,#radonc [23] bk_radiation,drewmoghanaki [22] #radonc,resident [22] lung,cancer [21] drewmoghanaki,astro_org [20] fumikochino,rtendulkarmd [20] anyone,find [20] find,ironic [20] ironic,future [20] #radonc,being Top Word Pairs in Tweet in G2:
[23] phuoc,tran [23] tran,colleagues [23] colleagues,johnshopkins [23] johnshopkins,publish [23] publish,series [23] series,#sabr [23] #sabr,#prostatecancer [23] #prostatecancer,oligometastases [22] _shankarsiva,phuoc [18] #radonc,come Top Word Pairs in Tweet in G3:
[17] clinical,radiation [13] exciting,opportunity [13] opportunity,clinical [13] radiation,oncologist [13] oncologist,academic [13] academic,aspirations [13] aspirations,join [13] join,flourishing [12] profajchalmers,exciting [12] flourishing,radiother Top Word Pairs in Tweet in G4:
[427] ncbi,#radonc [427] #radonc,#pubmed [71] ieeexplore,#radonc [49] cancer,ncbi [44] head,neck [44] radiotherapy,ncbi [40] lung,cancer [34] radiation,therapy [33] breast,cancer [33] prostate,cancer Top Word Pairs in Tweet in G5:
[18] #radiology,#radonc [16] clinical,trials [15] radiation,therapy [11] locally,advanced [10] lung,cancer [9] particle,radiotherapy [9] radiation,induced [8] guidance,use [8] use,pet [8] pet,treatment Top Word Pairs in Tweet in G6:
[6] 6th,annual [6] annual,#protontherapy [6] #protontherapy,course [5] course,penn [5] penn,radiation [5] #radonc,#meded [5] michelle,alonso [5] alonso,basanta [4] radiation,oncology [4] nov,22 Top Word Pairs in Tweet in G7:
[11] radioterapia,fundamental [11] fundamental,cancer [11] cancer,cabeza [11] cabeza,cuello [11] cuello,localmente [11] localmente,avanzado [11] avanzado,#hncsm [11] #hncsm,#headandneckcancer [10] freelancerog,radioterapia [10] #headandneckcancer,#yosoyradio Top Word Pairs in Tweet in G8:
[10] long,term [9] term,outcomes [9] outcomes,alliance [9] alliance,dose [9] dose,escalation [9] escalation,trial [9] trial,50 [9] 50,vs [9] vs,68 [9] 68,histologic Top Word Pairs in Tweet in G9:
[9] single,arm [9] arm,ph [9] ph,trial [9] trial,partial [9] partial,breast [9] breast,re [9] re,irradiation [9] irradiation,2nd [9] 2nd,lumpectomy [9] lumpectomy,cancer Top Word Pairs in Tweet in G10:
[4] last,day [4] day,#roprep2019 [4] #roprep2019,thanks [4] thanks,town [4] town,lecturers [4] lecturers,drs [4] drs,petra [4] petra,grendarova [4] grendarova,houdabahig [4] houdabahig,brockdebenham Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: