The graph represents a network of 1,527 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, 19 April 2020 at 15:53 UTC.
The requested start date was Sunday, 19 April 2020 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, 22-hour, 33-minute period from Sunday, 05 April 2020 at 01:25 UTC to Saturday, 18 April 2020 at 23:58 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 : 1527
Unique Edges : 1883
Edges With Duplicates : 4427
Total Edges : 6310
Number of Edge Types : 5
Mentions : 1629
Retweet : 1637
MentionsInRetweet : 2595
Replies to : 115
Tweet : 334
Self-Loops : 352
Reciprocated Vertex Pair Ratio : 0.0551876379690949
Reciprocated Edge Ratio : 0.104602510460251
Connected Components : 50
Single-Vertex Connected Components : 26
Maximum Vertices in a Connected Component : 1438
Maximum Edges in a Connected Component : 6179
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.939418
Graph Density : 0.00143592701405286
Modularity : 0.35229
NodeXL Version : 1.0.1.431
Data Import : The graph represents a network of 1,527 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, 19 April 2020 at 15:53 UTC.
The requested start date was Sunday, 19 April 2020 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, 22-hour, 33-minute period from Sunday, 05 April 2020 at 01:25 UTC to Saturday, 18 April 2020 at 23:58 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:
[325] ncbi,#radonc [322] #radonc,#pubmed [107] cancer,patients [106] during,#covid19 [102] head,neck [92] covid,19 [87] lung,sbrt [81] #medtwitter,#radonc [78] radiation,oncology [75] #radonc,residents Top Word Pairs in Tweet in G1:
[313] ncbi,#radonc [313] #radonc,#pubmed [62] head,neck [55] cancer,patients [49] neck,cancer [40] treat,prioritize [40] prioritize,head [40] times,#covid19 [39] patients,times [39] #covid19,honored Top Word Pairs in Tweet in G2:
[63] during,#covid19 [31] #radonc,#advancesro [30] during,#covid19pandemic [27] radoncoa,mdandersonnews [27] mdandersonnews,strategies [27] strategies,flatten [27] flatten,curve [27] curve,during [27] #covid19pandemic,#radonc [26] #advancesro,acce Top Word Pairs in Tweet in G3:
[38] single,fraction [38] fraction,lung [36] #radonc,residents [34] lung,sbrt [33] covid,perfect [33] perfect,time [33] time,adopt [33] adopt,single [33] sbrt,supported [33] supported,two Top Word Pairs in Tweet in G4:
[69] #medtwitter,#radonc [36] #quoteoftheday,#medtwitter [25] #radonc,#covid19 [14] added,rcr [14] lung,changes [12] covid,19 [12] cancer,treatment [11] resources,added [11] rcr,cancer [11] treatment,documents Top Word Pairs in Tweet in G5:
[23] petermaccc,#radonc [22] covid,19 [21] 19,temporarily [21] temporarily,changed [21] changed,everyday [21] everyday,lives [21] lives,please [21] please,know [21] know,petermaccc [21] #radonc,teams Top Word Pairs in Tweet in G6:
[8] covid,19 [7] cancer,patients [6] oncología,radioterápica [5] #radonc,#covid19 [5] radiation,oncology [4] during,#covid19 [4] oncology,department [4] radiation,therapy [4] increased,cardiac [4] cardiac,mortality Top Word Pairs in Tweet in G7:
[17] expert,rcradiologists [17] rcradiologists,advice [17] advice,modifying [17] modifying,#cancer [17] #cancer,treatment [17] treatment,#coronavirus [17] #coronavirus,pandemic [17] pandemic,covering [17] covering,cancers [17] cancers,updated Top Word Pairs in Tweet in G8:
[7] front,lines [6] dukecancer,clinical [6] clinical,team [6] team,front [6] lines,delivering [6] delivering,exceptional [6] exceptional,care [6] care,during [6] during,#covid19 [6] #covid19,#radonc Top Word Pairs in Tweet in G9:
[5] #cancer,centre [5] centre,see [5] save,space [5] veritas,medical [5] medical,solutions [4] space,time [4] time,money [3] #radonc,#medphys [3] #covid19,#radonc [3] radiation,therapy Top Word Pairs in Tweet in G10:
[18] #radiology,perspective [18] perspective,another [18] another,multidisciplinary [18] multidisciplinary,paper [17] wendengibbs,#radiology [17] paper,virtualspin [3] fascinating,paper [3] paper,#gbm [3] #gbm,improving [3] improving,care 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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