The graph represents a network of 7,970 Twitter users whose recent tweets contained "#ASCO19", 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, 10 June 2019 at 20:43 UTC.
The tweets in the network were tweeted over the 7-day, 0-hour, 45-minute period from Monday, 03 June 2019 at 19:27 UTC to Monday, 10 June 2019 at 20:13 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 : 7970
Unique Edges : 19751
Edges With Duplicates : 14079
Total Edges : 33830
Self-Loops : 3221
Reciprocated Vertex Pair Ratio : 0.0565976110488988
Reciprocated Edge Ratio : 0.107131817178185
Connected Components : 299
Single-Vertex Connected Components : 171
Maximum Vertices in a Connected Component : 7366
Maximum Edges in a Connected Component : 33056
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.049471
Graph Density : 0.000356541573503222
Modularity : 0.392582
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[472] breast,cancer [440] presented,#asco19 [397] asco,#asco19 [309] learn,more [294] lung,cancer [276] #asco19,#lcsm [261] targeted,therapy [243] cancer,patients [234] asco,2019 [230] #asco19,asco Top Word Pairs in Tweet in G1:
[222] breast,cancer [204] #asco19,#lcsm [173] asco,#asco19 [147] lung,cancer [140] #asco19,#lymsm [140] 9,45 [136] #lymsm,#leusm [132] 6,4 [131] tues,6 [130] 4,19 Top Word Pairs in Tweet in G2:
[149] m,d [141] study,found [141] targeted,therapy [138] marwan,fakih [136] cityofhope,city [136] city,hope [136] hope,s [136] s,marwan [136] fakih,m [136] d,served Top Word Pairs in Tweet in G3:
[64] asco,#asco19 [57] financial,impact [57] breast,cancer [55] more,americans [55] americans,worried [55] worried,cancer [55] cancer,s [55] s,financial [55] impact,dying [55] dying,cancer Top Word Pairs in Tweet in G4:
[121] learn,more [96] cell,carcinoma [88] cleclinicmd,new [68] curative,potential [68] potential,immunotherapy [68] immunotherapy,patients [64] squamous,cell [62] cutaneous,squamous [61] patients,cutaneous [60] study,evaluate Top Word Pairs in Tweet in G5:
[74] _seom,#asco19 [54] monaleesa,7 [44] vídeo,resumen [42] original,article [40] #asco19,quieres [38] quieres,conocer [36] nejm,original [32] endocrine,therapy [32] #ovariancancer,remains [32] remains,one Top Word Pairs in Tweet in G6:
[42] asco,2019 [40] sylvie,bonvalot [33] dr,sylvie [31] gustaveroussy,#asco19 [30] bonvalot,led [30] led,exceptional [30] exceptional,global [30] global,study [30] study,treating [30] treating,type Top Word Pairs in Tweet in G7:
[26] cancer,patients [26] lung,cancer [23] kras,g12c [22] drug,hunters [22] hunters,finally [22] finally,cracked [22] cracked,kras [22] kras,basic [22] basic,science [22] science,research Top Word Pairs in Tweet in G8:
[36] clinical,trial [34] prostate,cancer [31] pancreatic,cancer [27] cancer,#asco19 [27] cancer,patients [26] presented,#asco19 [23] breast,cancer [23] trial,results [23] icr,royalmarsdennhs [23] start,new Top Word Pairs in Tweet in G9:
[11] #asco19,#asco2019 [10] #asco,#asco19 [10] asco,fda [10] fda,review [10] review,nearing [10] nearing,epizyme [10] epizyme,shares [10] shares,updated [10] updated,sarcoma [10] sarcoma,data Top Word Pairs in Tweet in G10:
[36] cancer,immunotherapy [34] immunotherapy,#asco19 [34] #asco19,educational [34] educational,session [33] talking,clinical [33] clinical,genomics [33] genomics,cancer [33] session,siwenonc [33] siwenonc,chuck [33] chuck,drake Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: