The graph represents a network of 2,485 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 3/2/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 03 March 2023 at 03:26 UTC.
The tweets in the network were tweeted over the 1341-day, 1-hour, 13-minute period from Sunday, 30 June 2019 at 18:16 UTC to Thursday, 02 March 2023 at 19:30 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 : 2485
Unique Edges : 1939
Edges With Duplicates : 11400
Total Edges : 13339
Number of Edge Types : 9
Tweet : 963
Retweet : 2989
MentionsInRetweet : 4758
Quote : 641
Mentions : 1607
MentionsInQuote : 1896
MentionsInReplyTo : 283
Replies to : 199
MentionsInQuoteReply : 3
Self-Loops : 2750
Reciprocated Vertex Pair Ratio : 0.0626434896687438
Reciprocated Edge Ratio : 0.117901234567901
Connected Components : 393
Single-Vertex Connected Components : 193
Maximum Vertices in a Connected Component : 1532
Maximum Edges in a Connected Component : 11676
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.268588
Graph Density : 0.000524888461201995
Modularity : 0.235154
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,485 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 3/2/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 03 March 2023 at 03:26 UTC.
The tweets in the network were tweeted over the 1341-day, 1-hour, 13-minute period from Sunday, 30 June 2019 at 18:16 UTC to Thursday, 02 March 2023 at 19:30 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:
[922] #digitalhealth,#personalizedmedicine [645] #meded,#telemednow [578] #personalizedmedicine,#patientsafety [576] #datascience,#digitalhealth [576] #smarthit,#imagingai [575] #healthcareai,#smarthit [572] #publichealth,#datascience [570] #globalhealth,#meded [569] publichealthbot,#publichealth [564] #machinelearning,#globalhealth Top Word Pairs in Tweet in G1:
[84] #personalizedmedicine,call [57] visit,website [46] #genetics,#genomics [44] #genomics,#genetictesting [43] call,today [43] #personalizedmedicine,#hyderabad [38] #genetictesting,#genometesting [38] #internalmedicine,#personalizedmedicine [37] #genometesting,#pharmacogenomics [37] #precisionmedicine,#internalmedicine Top Word Pairs in Tweet in G2:
[909] #digitalhealth,#personalizedmedicine [635] #meded,#telemednow [572] #datascience,#digitalhealth [567] #publichealth,#datascience [566] #healthcareai,#smarthit [565] #smarthit,#imagingai [564] publichealthbot,#publichealth [559] #globalhealth,#meded [555] #personalizedmedicine,#patientsafety [552] #machinelearning,#globalhealth Top Word Pairs in Tweet in G3:
[29] personalized,medicine [24] #custommedications,#personalizedmedicine [22] #compounding,#custommedications [17] #hormonereplacement,#compounding [13] #compoundingpharmacy,#wellness [13] #hormonereplacementtherapy,#hormonereplacement [13] learn,more [12] #perimenopause,#premenopause [12] #postmenopause,#perimenopause [12] #premenopause,#womenshealth Top Word Pairs in Tweet in G4:
[28] read,more [13] learn,more [13] single,cell [11] personalized,medicine [11] crgenomica,egaarchive [11] arcadinavarro,crgenomica [11] research,read [10] precision,medicine [10] #personalizedmedicine,#precisionmedicine [9] genomic,data 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] #multiomics,identify [16] tweetycami,psychtoday [16] psychtoday,co [16] target,tweetycami [16] #biomarker,drug [16] #ai,#multiomics [16] #cancer,#biomarker [16] identify,#cancer [15] enilev,#ai Top Word Pairs in Tweet in G7:
[30] psma,imaging [25] role,psma [25] drmhofman,elila74 [25] #prostatecancer,profkherrmann [25] profkherrmann,drmhofman [25] metastatic,#prostatecancer [25] imaging,metastatic [25] elila74,stefanofanti4 [24] journalofnucmed,role [14] radiopharmaceutical,therapy Top Word Pairs in Tweet in G8:
[7] nicolekuderer,stoverlab [7] ptarantinomd,hoperugo [7] tumorboardtues,dr_rshatsky [7] hoperugo,nicolekuderer [7] dr_rshatsky,ptarantinomd [6] steps,share [6] ai,next [6] multimodal,biomedical [6] jasminesukumar,tumorboardtues [6] favour,#personalizedmedicine Top Word Pairs in Tweet in G9:
[6] learn,more [5] breast,cancer [5] wisdom,study [4] particularly,affected [4] #indigenous,pink [4] #native,women [4] pink,day [4] today,#indigenous [4] read,bbc's [4] #breastcancer,screenings Top Word Pairs in Tweet in G10:
[15] issue,introduces [14] special,issue [11] thehdsr,special [8] introduces,personalized [8] fascinating,paper [8] paper,issue [8] science,scientific [8] data,science [8] investigation,individual [8] personalized,data Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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 Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: