The graph represents a network of 1,103 Twitter users whose recent tweets contained "#oncoalert", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 03 June 2019 at 15:55 UTC.
The tweets in the network were tweeted over the 9-day, 21-hour, 15-minute period from Friday, 24 May 2019 at 18:21 UTC to Monday, 03 June 2019 at 15:37 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 : 1103
Unique Edges : 2712
Edges With Duplicates : 3729
Total Edges : 6441
Self-Loops : 283
Reciprocated Vertex Pair Ratio : 0.0524367674275139
Reciprocated Edge Ratio : 0.0996483001172333
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 1098
Maximum Edges in a Connected Component : 6436
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 3.012046
Graph Density : 0.002807061421334
Modularity : 0.292838
NodeXL Version : 1.0.1.412
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[406] #asco19,#oncoalert [293] #oncoalert,#asco19 [186] stephenvliu,#asco19 [165] oncoalert,#oncoalert [120] #asco19,#lcsm [119] drraulcordoba,#oncoalert [119] lung,cancer [104] apassaromd,#asco19 [100] #lcsm,#oncoalert [93] improves,os Top Word Pairs in Tweet in G1:
[136] #asco19,#oncoalert [76] oncoalert,#oncoalert [62] #oncoalert,#asco19 [43] important,data [37] very,important [37] oral,abstract [35] nicolekuderer,#oncoalert [31] breast,cancer [31] presented,#asco19 [30] #oncoalert,#bcsm Top Word Pairs in Tweet in G2:
[111] #asco19,#oncoalert [98] stephenvliu,#asco19 [74] #asco19,#lcsm [69] #lcsm,#oncoalert [56] lung,cancer [56] apassaromd,#asco19 [44] charuaggarwalmd,#oncoalert [34] phase,ii [33] #lcsm,#lungcancer [32] #oncoalert,#asco19 Top Word Pairs in Tweet in G3:
[51] titan,trial [51] improves,os [51] os,rpfs [45] #asco19,asco [42] top,10 [40] trial,showing [39] showing,apalutamide [39] apalutamide,significantly [39] significantly,improves [39] rpfs,metastatic Top Word Pairs in Tweet in G4:
[162] #oncoalert,#asco19 [76] #asco19,#oncoalert [39] #asco19,tweet [37] stephenvliu,#asco19 [31] drraulcordoba,#oncoalert [30] oncoalert,#oncoalert [27] oncoalert,onc [26] #asco19,oncoalert [21] apassaromd,#asco19 [19] tweet,oncoalert Top Word Pairs in Tweet in G5:
[28] #oncoalert,west_cancer [26] interesting,data [26] data,mss [26] mss,crc [26] crc,gastric [26] gastric,cancer [26] cancer,nivolumab [26] nivolumab,regorafenib [26] regorafenib,#oncoalert [25] agrothey,interesting Top Word Pairs in Tweet in G6:
[30] today,world [30] world,blood [30] blood,cancer [30] cancer,day [30] day,#wbcd [30] #wbcd,2019 [30] 2019,joint [30] joint,thread [30] thread,thelancethaem [30] thelancethaem,share Top Word Pairs in Tweet in G7:
[55] drraulcordoba,#oncoalert [43] #oncoalert,#lymsm [23] older,adults [17] #oncoalert,need [17] need,collaboration [17] collaboration,clinical [17] clinical,pharmacists [17] pharmacists,geriatric [17] geriatric,oncology [17] oncology,hematology Top Word Pairs in Tweet in G8:
[34] #asco19,#oncoalert [9] implementation,affordable [9] affordable,care [9] care,act [9] act,aca [9] aca,ovarian [9] ovarian,cancer [9] cancer,diagnosed [9] diagnosed,treated [9] treated,earlier Top Word Pairs in Tweet in G9:
[21] lung,cancer [13] #oncoalert,#asco19 [10] clinical,practice [9] before,decide [9] decide,1st [9] 1st,line [9] line,treatment [9] treatment,metastatic [9] metastatic,lung [9] cancer,clinical Top Word Pairs in Tweet in G10:
[3] nicolekuderer,maryam_lustberg [3] maryam_lustberg,drgattimays [3] drgattimays,swog [3] swog,hemoncwomendocs [3] hemoncwomendocs,virginiasunphd [3] virginiasunphd,asco [3] asco,crisbergerot [3] crisbergerot,drdonsdizon [3] drdonsdizon,ibcresearch [3] ibcresearch,mark Top Replied-To in Entire Graph:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: