The graph represents a network of 5,821 Twitter users whose recent tweets contained "#GoASCO20 OR #ASCO20 until:2020-05-30", 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 Tuesday, 02 June 2020 at 07:11 UTC.
The tweets in the network were tweeted over the 3-day, 6-hour, 18-minute period from Tuesday, 26 May 2020 at 17:41 UTC to Friday, 29 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 : 5821
Unique Edges : 23125
Edges With Duplicates : 27875
Total Edges : 51000
Self-Loops : 2397
Reciprocated Vertex Pair Ratio : 0.0782624906785981
Reciprocated Edge Ratio : 0.145164078979218
Connected Components : 244
Single-Vertex Connected Components : 150
Maximum Vertices in a Connected Component : 5362
Maximum Edges in a Connected Component : 50386
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.445211
Graph Density : 0.000853616276179799
Modularity : 0.31293
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 5,821 Twitter users whose recent tweets contained "#GoASCO20 OR #ASCO20 until:2020-05-30", 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 Tuesday, 02 June 2020 at 07:11 UTC.
The tweets in the network were tweeted over the 3-day, 6-hour, 18-minute period from Tuesday, 26 May 2020 at 17:41 UTC to Friday, 29 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:2020-05-30
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:
[507] #asco20,virtual [501] asco,#asco20 [405] scientific,program [358] virtual,scientific [270] lung,cancer [212] cancer,patients [208] learn,more [189] #asco20,asco [182] featured,voices [173] follow,twitter Top Word Pairs in Tweet in G3:
[161] asco,#asco20 [112] #asco20,asco [97] https,t [93] t,co [77] #asco20,abstract [71] #asco20,virtual [69] looking,forward [63] ipi,nivo [48] #asco20,plenary [47] ansto,adacap_news Top Word Pairs in Tweet in G4:
[438] congress,#asco20 [223] r,r [200] car,t [200] phase,iii [147] high,risk [110] virtual,#asco20 [102] lung,cancer [96] iii,trial [94] #mmsm,#asco20 [92] vrd,vs Top Word Pairs in Tweet in G5:
[196] stage,4 [113] 4,#lungcancer [102] #lungcancer,diagnosis [92] diagnosis,came [92] came,shock [92] shock,steve [83] steve,behan [79] behan,s [79] s,inspires [72] inspires,learn Top Word Pairs in Tweet in G6:
[55] #asco20,virtual [53] virtual,meeting [53] oral,abstract [53] during,#asco20 [53] abstract,session [53] smilowcancer,yalemed [53] yalemed,ynhh [53] #radonc,#oncoalert [53] present,oral [53] looking,forward Top Word Pairs in Tweet in G7:
[33] #asco20,#cancer [32] #asco2020,#asco20 [25] learn,more [25] virtual,#asco20 [20] #cancer,#aml [18] #aml,#bio20 [18] #bio20,#bio2020 [17] annual,meeting [16] nel,2019 [15] tumore,polmone Top Word Pairs in Tweet in G8:
[12] patients,cancer [10] risk,factors [10] covid,19 [10] clinical,impact [8] patients,#cancer [8] 19,patients [8] cohort,study [7] #cancer,#covid19 [7] #covid19,30 [7] 30,day Top Word Pairs in Tweet in G9:
[115] overall,survival [112] 2nd,gt [74] #asco20,#asco2020 [58] control,arm [57] disease,#asco20 [57] approximately,15 [57] 15,20 [56] 20,gastric [56] gastric,adenocarcinomas [56] adenocarcinomas,express Top Word Pairs in Tweet in G10:
[31] reimagining,cancer [28] novartis,boldly [26] boldly,committed [22] committed,reimagining [22] cancer,blood [21] blood,disorders [21] disorders,#asco20 [21] bcmafacts,virtual [21] virtual,booth [21] multiple,myeloma 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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