The graph represents a network of 2,532 Twitter users whose recent tweets contained "personalizedmedicine", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/9/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 10 March 2023 at 03:26 UTC.
The tweets in the network were tweeted over the 1348-day, 4-hour, 13-minute period from Sunday, 30 June 2019 at 18:16 UTC to Thursday, 09 March 2023 at 22:30 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 2532
Unique Edges : 1973
Edges With Duplicates : 11318
Total Edges : 13291
Number of Edge Types : 9
Retweet : 2973
MentionsInRetweet : 4726
Tweet : 975
Quote : 627
Mentions : 1585
MentionsInQuote : 1861
MentionsInReplyTo : 325
Replies to : 216
MentionsInQuoteReply : 3
Self-Loops : 2725
Reciprocated Vertex Pair Ratio : 0.0619354838709677
Reciprocated Edge Ratio : 0.116646415552855
Connected Components : 404
Single-Vertex Connected Components : 202
Maximum Vertices in a Connected Component : 1546
Maximum Edges in a Connected Component : 11552
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.412118
Graph Density : 0.000513693393079058
Modularity : 0.240543
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,532 Twitter users whose recent tweets contained "personalizedmedicine", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/9/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 10 March 2023 at 03:26 UTC.
The tweets in the network were tweeted over the 1348-day, 4-hour, 13-minute period from Sunday, 30 June 2019 at 18:16 UTC to Thursday, 09 March 2023 at 22:30 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : personalizedmedicine
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:
[893] #digitalhealth,#personalizedmedicine [640] #meded,#telemednow [576] #smarthit,#imagingai [575] #healthcareai,#smarthit [570] #globalhealth,#meded [564] #machinelearning,#globalhealth [553] #artificialintelligence,#machinelearning [553] #personalizedmedicine,#patientsafety [552] #publichealth,#datascience [552] publichealthbot,#publichealth Top Word Pairs in Tweet in G1:
[81] #personalizedmedicine,call [56] visit,website [49] #genetics,#genomics [46] #genomics,#genetictesting [44] #personalizedmedicine,#hyderabad [41] call,today [40] #internalmedicine,#personalizedmedicine [40] #genetictesting,#genometesting [39] #precisionmedicine,#internalmedicine [39] #genometesting,#pharmacogenomics Top Word Pairs in Tweet in G2:
[881] #digitalhealth,#personalizedmedicine [630] #meded,#telemednow [566] #healthcareai,#smarthit [565] #smarthit,#imagingai [559] #globalhealth,#meded [552] #machinelearning,#globalhealth [547] #publichealth,#datascience [547] publichealthbot,#publichealth [547] #datascience,#digitalhealth [540] #artificialintelligence,#machinelearning Top Word Pairs in Tweet in G3:
[29] personalized,medicine [24] #custommedications,#personalizedmedicine [22] #compounding,#custommedications [17] #hormonereplacement,#compounding [15] learn,more [13] #precisionmedicine,#personalizedmedicine [13] #hormonereplacementtherapy,#hormonereplacement [13] #compoundingpharmacy,#wellness [12] #premenopause,#womenshealth [12] #postmenopause,#perimenopause Top Word Pairs in Tweet in G4:
[25] read,more [13] single,cell [10] precision,medicine [10] learn,more [10] research,read [10] #personalizedmedicine,#precisionmedicine [8] personalized,medicine [8] #healthcare,#medicine [8] cell,sequencing [7] complete,dna Top Word Pairs in Tweet in G5:
[26] personalized,medicine [13] health,care [11] medicine,today [10] #precisionhealth,forward [10] permedcoalition,conference [10] move,#personalizedmedicine [10] conference,discussed [10] pmc,today [10] discussed,needed [10] #personalizedmedicine,#precisionhealth Top Word Pairs in Tweet in G6:
[22] drug,target [16] psychtoday,co [16] identify,#cancer [16] #ai,#multiomics [16] #biomarker,drug [16] tweetycami,psychtoday [16] #multiomics,identify [16] #cancer,#biomarker [16] target,tweetycami [15] enilev,#ai Top Word Pairs in Tweet in G7:
[30] psma,imaging [25] profkherrmann,drmhofman [25] #prostatecancer,profkherrmann [25] elila74,stefanofanti4 [25] metastatic,#prostatecancer [25] role,psma [25] drmhofman,elila74 [25] imaging,metastatic [24] journalofnucmed,role [15] radiopharmaceutical,therapy Top Word Pairs in Tweet in G8:
[7] nicolekuderer,stoverlab [7] dr_rshatsky,ptarantinomd [7] hoperugo,nicolekuderer [7] tumorboardtues,dr_rshatsky [7] ptarantinomd,hoperugo [6] favour,#personalizedmedicine [6] relevant,health [6] share,relevant [6] biomedical,ai [6] maryam_lustberg,#personalizedmedicine Top Word Pairs in Tweet in G9:
[11] arcadinavarro,crgenomica [11] crgenomica,egaarchive [8] join,webinar [8] #infection,seeking [8] highly,motivated [8] #personalizedmedicine,#infection [8] seeking,highly [8] genomic,data [7] egaarchive,#prbbellipse [7] #personalizedmedicine,co Top Word Pairs in Tweet in G10:
[7] learn,more [5] wisdom,study [5] breast,cancer [4] help,improve [4] find,insights [4] insights,nervous [4] draw,attention [4] trail,feature [4] attention,#native [4] re,read Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 G5:
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Top Tweeters in G10: