The graph represents a network of 1,548 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, 10 October 2021 at 18:50 UTC.
The requested start date was Sunday, 10 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 10-hour, 13-minute period from Sunday, 26 September 2021 at 01:24 UTC to Saturday, 09 October 2021 at 11:37 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 : 1548
Unique Edges : 2002
Edges With Duplicates : 4074
Total Edges : 6076
Number of Edge Types : 5
Retweet : 1582
MentionsInRetweet : 2610
Mentions : 1457
Tweet : 336
Replies to : 91
Self-Loops : 355
Reciprocated Vertex Pair Ratio : 0.0661157024793388
Reciprocated Edge Ratio : 0.124031007751938
Connected Components : 43
Single-Vertex Connected Components : 21
Maximum Vertices in a Connected Component : 1454
Maximum Edges in a Connected Component : 5933
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.231368
Graph Density : 0.00145442792501616
Modularity : 0.396552
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,548 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, 10 October 2021 at 18:50 UTC.
The requested start date was Sunday, 10 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 10-hour, 13-minute period from Sunday, 26 September 2021 at 01:24 UTC to Saturday, 09 October 2021 at 11:37 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:
[76] learn,more [69] radiation,oncology [61] #medphys,#radonc [58] #radonc,residents [56] #radonc,#medphys [56] high,risk [54] international,consensus [50] radiation,therapy [48] consensus,re [48] re,bolus Top Word Pairs in Tweet in G1:
[44] learn,more [44] #radonc,residents [32] #redjournal,article [31] radiation,oncology [28] 300m,cuts [25] cuts,#radonc [25] ability,patients [25] astro_org,#redjournal [22] register,free [21] patients,particularly Top Word Pairs in Tweet in G2:
[23] re,irradiation [19] radiation,therapy [16] herman,suit [15] radiation,oncology [15] eficacia,radioterapia [13] radioterapiahm,hmhospitales [12] #radonc,#radbio [11] #radonc,growth [11] growth,global [11] global,radiation Top Word Pairs in Tweet in G3:
[29] #lcsm,#radonc [25] still,believe [25] believe,power [25] power,cancer [25] cancer,advocacy [25] advocacy,bill [25] bill,signed [25] signed,governor [25] governor,declares [24] drewmoghanaki,still Top Word Pairs in Tweet in G4:
[38] international,consensus [35] consensus,re [35] re,bolus [35] bolus,postmastectomy [35] postmastectomy,#radiotherapy [35] very,selective [35] selective,high [35] high,risk [34] #radiotherapy,very [34] dr_jonathant,international Top Word Pairs in Tweet in G5:
[30] #radonc,#medphys [17] #sfro2021,congressfro [17] meet,greets [13] #medphys,#cancer [13] #cancer,#accurayexpandrt [12] #hcsmeufr,#radonc [11] join,residents [11] residents,faculty [11] faculty,series [11] series,meet Top Word Pairs in Tweet in G6:
[26] hey,#epeeps [26] #epeeps,#radonc [26] #radonc,communities [26] communities,data [26] data,share [26] share,today [26] today,radiation [26] radiation,actually [26] actually,reprogram [25] doctorphillep,hey Top Word Pairs in Tweet in G7:
[14] #pediatric,#radonc [13] #childhoodcancerawareness,month [13] month,highlighting [13] highlighting,#pediatric [11] #radonc,study [7] brighamradonc,#childhoodcancerawareness [5] #gogoldforkids,#ccam [5] #match2022,#radonc [4] #ccam,#growgold [4] study,low Top Word Pairs in Tweet in G8:
[9] #medphys,#radonc [8] rejection,based [8] based,fact [8] fact,manuscript [8] manuscript,submitted [8] submitted,india [8] india,form [8] form,#racism [7] indranilsays,rejection [6] #radonc,mark Top Word Pairs in Tweet in G9:
[8] good,luck [7] #radonc,virtual [7] virtual,hangout [7] learn,more [5] duke,#radonc [5] #radonc,#radoncres [5] #radoncres,#medphys [5] dr,melody [5] melody,qu [5] qu,lhsccanada Top Word Pairs in Tweet in G10:
[18] hi,#medtwitter [18] #medtwitter,name [18] name,alexandria [18] alexandria,oliver [18] oliver,iâ [18] iâ,ms4 [18] ms4,university [18] university,louisville [18] louisville,applying [18] applying,radiation 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 Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: