The graph represents a network of 1,534 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, 24 October 2021 at 18:50 UTC.
The requested start date was Sunday, 24 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, 23-hour, 26-minute period from Sunday, 10 October 2021 at 00:25 UTC to Saturday, 23 October 2021 at 23:52 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 : 1534
Unique Edges : 1814
Edges With Duplicates : 5531
Total Edges : 7345
Number of Edge Types : 5
Mentions : 1948
MentionsInRetweet : 3013
Retweet : 1793
Tweet : 383
Replies to : 208
Self-Loops : 409
Reciprocated Vertex Pair Ratio : 0.0731630400504573
Reciprocated Edge Ratio : 0.136350279165442
Connected Components : 59
Single-Vertex Connected Components : 25
Maximum Vertices in a Connected Component : 1404
Maximum Edges in a Connected Component : 7171
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.167802
Graph Density : 0.00144708630893911
Modularity : 0.317831
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,534 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, 24 October 2021 at 18:50 UTC.
The requested start date was Sunday, 24 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, 23-hour, 26-minute period from Sunday, 10 October 2021 at 00:25 UTC to Saturday, 23 October 2021 at 23:52 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:
[260] #radonc,#jc [89] #redjournal,article [85] radiation,therapy [80] #radonc,resident [79] astro_org,#redjournal [77] presidential,symposium [73] looking,forward [70] #astro21,presidential [68] target,delineation [67] marginal,failures Top Word Pairs in Tweet in G1:
[166] #radonc,#jc [58] #redjournal,article [53] presidential,symposium [49] #astro21,presidential [48] astro_org,#redjournal [42] fcounago,rad_nation [40] astro_org,#astro21 [40] rad_nation,fcounago [35] attending,#astro21 [33] annual,meeting Top Word Pairs in Tweet in G2:
[48] marginal,failures [48] failures,bone [48] bone,sbrt [48] sbrt,thing [48] thing,guideline [48] guideline,help [48] help,target [48] target,delineation [48] delineation,11 [47] _shankarsiva,marginal Top Word Pairs in Tweet in G3:
[18] looking,forward [13] cleclinicmd,#radonc [9] #astro21,meeting [9] forward,martintommd [9] martintommd,former [9] former,cleclinicmd [9] #radonc,resident [9] resident,presentation [9] presentation,fluciclovine [9] fluciclovine,pet Top Word Pairs in Tweet in G4:
[24] #medphys,#radonc [20] #foamed,#radiology [15] #radonc,#radres [14] take,look [14] look,authors [14] authors,peers [14] peers,publishing [14] publishing,work [14] work,journals [14] #radiology,#medphys Top Word Pairs in Tweet in G5:
[54] keeping,patients [54] patients,pacemakers [54] pacemakers,defibrillators [54] defibrillators,safe [54] safe,receiving [54] receiving,radiation [54] radiation,therapy [54] therapy,follow [54] follow,simplified [54] simplified,approach Top Word Pairs in Tweet in G6:
[77] #radonc,#jc [22] fcounago,vinaigondi [17] live,hour [15] vinaigondi,subatomicdoc [15] vinaigondi,sorenbentzen [13] henningwillers,stephenvliu [12] ls,sclc [12] small,cell [11] pci,sclc [10] subatomicdoc,bk_radiation Top Word Pairs in Tweet in G7:
[24] #neurosurgery,#radonc [23] #radres,anyone [23] anyone,image [23] image,tells [23] tells,exactly [23] exactly,#neurorad [23] #neurorad,#neurosurgery [22] wendengibbs,#radres [21] grade,glioma [14] high,grade Top Word Pairs in Tweet in G8:
[40] #radonc,resident [29] spent,call [29] call,week [29] week,#radonc [28] radoncdoc_niema,spent [10] contouring,first [10] first,case [10] case,junior [10] junior,#radonc [10] resident,before Top Word Pairs in Tweet in G9:
[16] #radonc,#medphys [10] #hcsmeufr,#radonc [8] #radiothérapie,#stéréotaxique [7] #medphys,#accurayexpandrt [6] back,person [6] cette,étude [5] astro_org,#astro21 [5] digital,xp [5] alison_tree,royalmarsdennhs [4] lively,discussion Top Word Pairs in Tweet in G10:
[18] thank,hoppebrad [18] hoppebrad,incredible [18] incredible,talk [18] talk,management [18] management,hodgkin [18] hodgkin,lymphoma [18] lymphoma,today [18] today,requesting [17] cunninghamonc,thank [17] requesting,creati 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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Top Tweeters in G10: