The graph represents a network of 5,567 Twitter users whose recent tweets contained "#GoASCO20 OR #ASCO20 until:2020-05-31", 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, 01 June 2020 at 21:37 UTC.
The tweets in the network were tweeted over the 1-day, 6-hour, 19-minute period from Friday, 29 May 2020 at 17:40 UTC to Saturday, 30 May 2020 at 23:59 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 : 5567
Unique Edges : 23663
Edges With Duplicates : 26674
Total Edges : 50337
Self-Loops : 2672
Reciprocated Vertex Pair Ratio : 0.0706708663697911
Reciprocated Edge Ratio : 0.132012308524668
Connected Components : 178
Single-Vertex Connected Components : 106
Maximum Vertices in a Connected Component : 5253
Maximum Edges in a Connected Component : 49908
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.550403
Graph Density : 0.000954401163212119
Modularity : 0.297789
NodeXL Version : 1.0.1.433
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=228661
Data Import : The graph represents a network of 5,567 Twitter users whose recent tweets contained "#GoASCO20 OR #ASCO20 until:2020-05-31", 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, 01 June 2020 at 21:37 UTC.
The tweets in the network were tweeted over the 1-day, 6-hour, 19-minute period from Friday, 29 May 2020 at 17:40 UTC to Saturday, 30 May 2020 at 23:59 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 : TwitterSearch
Graph Term : #GoASCO20 OR #ASCO20 until:2020-05-31
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in G2:
[648] #asco20,#bcsm [269] asco,#asco20 [254] breast,cancer [221] during,#asco20 [194] #bcsm,#asco20 [192] #asco20,oncoalert [191] #asco20,asco [188] #asco20,#gyncsm [178] #listenupmbc,#asco20 [158] #bcsm,oncoalert Top Word Pairs in Tweet in G3:
[316] asco,#asco20 [296] #asco20,asco [156] covid,19 [130] psma,pet [120] prostate,cancer [118] #asco20,#covid19ncancer [109] #asco20,#lcsm [106] covid19nccc,#ccc19 [105] #asco20,#oncoalert [91] high,risk Top Word Pairs in Tweet in G4:
[493] #asco20,#gerionc [274] geriatric,assessment [216] older,adults [197] assessment,driven [151] rochgerionc,danengli [133] driven,intervention [127] improve,care [126] care,older [124] intervention,drug [110] drug,fda Top Word Pairs in Tweet in G5:
[118] learn,more [101] year,s [87] pro,tumor [84] tumor,inflammation [72] inflammation,pti [70] #asco20,virtual [70] novartis,boldly [70] boldly,committed [65] committed,reimagining [65] reimagining,cancer Top Word Pairs in Tweet in G6:
[46] original,article [29] cancer,#asco20 [29] overall,survival [29] prostate,cancer [29] androgen,deprivation [29] deprivation,therapy [28] therapy,patients [28] her2,positive [28] trastuzumab,deruxtecan [28] positive,gastric Top Word Pairs in Tweet in G7:
[43] yalemed,ynhh [35] smilowcancer,yalemed [24] poster,presentation [22] read,more [21] excited,share [21] share,findings [19] findings,eaonc [18] eaonc,trial [17] trial,e3311 [17] e3311,today Top Word Pairs in Tweet in G8:
[29] asco,#asco20 [28] #bloodcancer,#prostatecancer [20] #prostatecancer,#lungcancer [19] #lungcancer,#bladdercancer [15] learn,janssen [15] janssen,oncology [15] oncology,re [15] re,making [15] making,news [15] news,year Top Word Pairs in Tweet in G9:
[17] rischio,di [16] learn,more [16] nei,pazienti [16] nuovi,dati [14] dati,per [14] per,pazienti [14] pazienti,ad [14] ad,alto [14] alto,rischio [14] scientific,program Top Word Pairs in Tweet in G10:
[7] trabajamos,prevenir [6] prevenir,#cáncer [6] #cáncer,brindar [6] brindar,pacientes [6] pacientes,más [6] más,opciones [6] opciones,mejor [6] mejor,calidad [6] calidad,vida [5] vida,más Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: