The graph represents a network of 1,296 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, 08 December 2019 at 20:00 UTC.
The requested start date was Sunday, 08 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, 22-hour, 16-minute period from Sunday, 24 November 2019 at 01:11 UTC to Saturday, 07 December 2019 at 23:28 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 : 1296
Unique Edges : 2925
Edges With Duplicates : 2301
Total Edges : 5226
Number of Edge Types : 3
Mentions : 4763
Replies to : 168
Tweet : 295
Self-Loops : 295
Reciprocated Vertex Pair Ratio : 0.0698907956318253
Reciprocated Edge Ratio : 0.130650335374745
Connected Components : 52
Single-Vertex Connected Components : 25
Maximum Vertices in a Connected Component : 1169
Maximum Edges in a Connected Component : 5069
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.773115
Graph Density : 0.00204311454311454
Modularity : 0.407161
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,296 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, 08 December 2019 at 20:00 UTC.
The requested start date was Sunday, 08 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, 22-hour, 16-minute period from Sunday, 24 November 2019 at 01:11 UTC to Saturday, 07 December 2019 at 23:28 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:
[334] ncbi,#radonc [333] #radonc,#pubmed [83] prostate,cancer [75] radiation,therapy [73] merkel,cell [61] lung,cancer [60] radiation,oncology [49] breast,cancer [46] #radiology,#radonc [44] cancer,patients Top Word Pairs in Tweet in G1:
[30] drjamesgood,sabrconsortium [27] sabrconsortium,alison_tree [26] tomrackley,drandrewloblaw [25] henningwillers,rweichselbaum [24] bk_radiation,drewmoghanaki [23] drewmoghanaki,astro_org [22] #radonc,resident [21] alison_tree,tomrackley [20] astro_org,cd_fuller [20] fumikochino,rtendulkarmd Top Word Pairs in Tweet in G2:
[334] ncbi,#radonc [333] #radonc,#pubmed [61] prostate,cancer [45] radiation,therapy [45] merkel,cell [44] lung,cancer [37] head,neck [37] breast,cancer [37] radiotherapy,ncbi [32] cancer,ncbi Top Word Pairs in Tweet in G3:
[19] help,committee [19] committee,votes [19] stephen,hahn [17] senate,help [17] votes,approve [17] commissioner,full [17] full,senate [17] senate,vote [16] #radonc,dr [15] breaking,senate Top Word Pairs in Tweet in G4:
[23] nsabp,39 [23] 39,rtog [23] rtog,0413 [23] breast,vs [23] whole,breast [22] long,awaited [22] awaited,rapid [22] rapid,nrgonc [22] nrgonc,nsabp [22] 0413,partial Top Word Pairs in Tweet in G5:
[13] very,proud [13] proud,#uk [13] #uk,trial [13] trial,congratulations [13] congratulations,colleagues [13] colleagues,drvmisra [13] drvmisra,mcmrhona [13] mcmrhona,#whereishoskin [13] #whereishoskin,mcrcnews [12] achoud72,very Top Word Pairs in Tweet in G6:
[15] #radiology,#radonc [12] treatment,planning [10] clinical,trials [10] particle,radiotherapy [10] bjr_radiology,review [9] radiation,therapy [9] vacant,professor [9] professor,associate [9] associate,professor [9] professor,positions Top Word Pairs in Tweet in G7:
[9] hskinnermdphd,#radonc [9] #radonc,upmchillmancc [9] #neoadjuvant,trials [9] trials,#hnscc [7] slide,set [7] #hnscc,biomarkers [7] upmchillmancc,talks [7] talks,#neoadjuvant [6] crukresearch,funding [6] funding,network Top Word Pairs in Tweet in G8:
[13] scorad,trial [13] trial,jama [13] jama,best [13] best,palliative [13] palliative,cord [13] cord,cauda [13] cauda,compression [13] compression,8gy [13] 8gy,vs [13] vs,20gy Top Word Pairs in Tweet in G9:
[9] fasting,novel [9] novel,#radonc [9] #radonc,therapeutic [9] therapeutic,strategy [9] strategy,#pancreaticcancer [9] #pancreaticcancer,improved [9] improved,survival [9] survival,intestinal [9] intestinal,crypt [9] crypt,cells Top Word Pairs in Tweet in G10:
[5] #radonc,resident [4] resident,neil_pfister_md [4] neil_pfister_md,receive [4] receive,discovery [4] discovery,award [4] award,deptofdefense [4] deptofdefense,year [4] year,grant [4] last,day [4] day,#roprep2019 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: