The graph represents a network of 8,194 Twitter users whose recent tweets contained "#ASCO22", 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 Thursday, 09 June 2022 at 16:42 UTC.
The tweets in the network were tweeted over the 2-day, 23-hour, 58-minute period from Monday, 06 June 2022 at 16:05 UTC to Thursday, 09 June 2022 at 16:03 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 : 8194
Unique Edges : 30962
Edges With Duplicates : 20646
Total Edges : 51608
Number of Edge Types : 5
MentionsInRetweet : 25339
Mentions : 9636
Retweet : 13533
Tweet : 2309
Replies to : 791
Self-Loops : 2430
Reciprocated Vertex Pair Ratio : 0.0661617818062554
Reciprocated Edge Ratio : 0.12411208680575
Connected Components : 295
Single-Vertex Connected Components : 197
Maximum Vertices in a Connected Component : 7720
Maximum Edges in a Connected Component : 50805
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.618455
Graph Density : 0.000532640647264891
Modularity : 0.380893
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,194 Twitter users whose recent tweets contained "#ASCO22", 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 Thursday, 09 June 2022 at 16:42 UTC.
The tweets in the network were tweeted over the 2-day, 23-hour, 58-minute period from Monday, 06 June 2022 at 16:05 UTC to Thursday, 09 June 2022 at 16:03 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 : #ASCO22
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:
[1402] asco,#asco22 [823] #asco22,oncoalert [822] breast,cancer [649] lung,cancer [546] mismatch,repair [545] #asco22,#lcsm [542] repair,deficient [495] locally,advanced [449] learn,more [433] #asco22,asco Top Word Pairs in Tweet in G1:
[619] asco,#asco22 [481] #asco22,#lcsm [420] lung,cancer [346] #asco22,oncoalert [195] #asco22,asco [164] #asco22,dr [150] breast,cancer [146] poster,discussion [139] small,cell [138] #lcsm,#asco22 Top Word Pairs in Tweet in G2:
[171] gt,asco [170] written,coverage [169] #asco22,written [146] asco,#asco22 [101] breast,cancer [97] asco,pcfnews [90] coverage,zklaassen_md [88] coverage,walliscjd [86] walliscjd,uoft [83] uoft,gt Top Word Pairs in Tweet in G3:
[342] breast,cancer [296] #asco22,oncoalert [260] #asco22,#bcsm [207] her2,low [150] clinical,trials [143] #bcsm,#asco22 [132] practice,changing [126] asco,#asco22 [121] research,presented [116] erikahamilton9,oncoalert Top Word Pairs in Tweet in G4:
[137] #asco22,#crcsm [121] #asco22,oncoalert [113] colorectal,cancer [100] asco,#asco22 [73] #crcsm,oncoalert [73] #asco22,dr [64] rectal,cancer [63] lung,cancer [54] #asco22,asco [51] ras,braf Top Word Pairs in Tweet in G5:
[371] locally,advanced [350] deficient,locally [350] asco,#asco22 [346] mismatch,repair [346] repair,deficient [344] published,nejm [329] complete,response [320] advanced,#rectalcancer [319] #asco22,mskcancercenter [312] 100,clinical Top Word Pairs in Tweet in G6:
[346] がんの治療開発でホームランを打つことは滅多にない,今回チームで取り組んだdestiny [346] 今回チームで取り組んだdestiny,04 [346] 04,臨床試験は [346] 臨床試験は,ホームランだった [346] ホームランだった,満場総立ちの拍手喝采 [346] 満場総立ちの拍手喝采,を始めて研究者として [346] を始めて研究者として,#asco22 [346] #asco22,シカゴで経験した [346] シカゴで経験した,ホルモン陽性転移性乳がんに新しい治療が到来する [346] ホルモン陽性転移性乳がんに新しい治療が到来する,成功の余韻を楽しんでいる Top Word Pairs in Tweet in G7:
[20] presented,#asco22 [13] #uveal,#melanoma [12] #asco22,#radonc [12] #asco22,asco [11] cancer,care [11] #asco22,oncoalert [10] breast,cancer [10] lung,cancer [9] jamesalaro,nciglobalhealth [9] #asco22,cc Top Word Pairs in Tweet in G8:
[40] #mdhealth,#oncologiabrasil [39] em,#mdhealth [34] completo,em [30] conteúdo,completo [22] em,pacientes [18] saiba,mais [18] mais,em [17] neste,vídeo [16] estudo,clínico [16] dados,estudo Top Word Pairs in Tweet in G9:
[272] complete,remission [136] remission,single [136] single,patient [136] patient,unheard [136] unheard,' [136] ',combining [136] combining,genomics [136] genomics,diagnosis [136] diagnosis,mismatch [136] mismatch,repair Top Word Pairs in Tweet in G10:
[13] patients,atteints [13] atteints,#cancer [11] dr,etienne [11] etienne,brain [11] brain,institut_curie [11] patients,#asco22 [10] msd,poursuit [10] poursuit,ses [10] ses,efforts [10] efforts,recherche 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: