The graph represents a network of 2,605 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 3/16/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 17 March 2023 at 02:26 UTC.
The tweets in the network were tweeted over the 1355-day, 3-hour, 43-minute period from Sunday, 30 June 2019 at 18:16 UTC to Thursday, 16 March 2023 at 22:00 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 : 2605
Unique Edges : 2009
Edges With Duplicates : 11157
Total Edges : 13166
Number of Edge Types : 8
Retweet : 2959
MentionsInRetweet : 4654
Tweet : 995
Quote : 606
Mentions : 1583
MentionsInQuote : 1828
MentionsInReplyTo : 325
Replies to : 216
Self-Loops : 2676
Reciprocated Vertex Pair Ratio : 0.0628371945414154
Reciprocated Edge Ratio : 0.118244252015527
Connected Components : 415
Single-Vertex Connected Components : 206
Maximum Vertices in a Connected Component : 1545
Maximum Edges in a Connected Component : 11303
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.466496
Graph Density : 0.000493703765946971
Modularity : 0.24785
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,605 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 3/16/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 17 March 2023 at 02:26 UTC.
The tweets in the network were tweeted over the 1355-day, 3-hour, 43-minute period from Sunday, 30 June 2019 at 18:16 UTC to Thursday, 16 March 2023 at 22:00 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:
[853] #digitalhealth,#personalizedmedicine [624] #meded,#telemednow [581] #smarthit,#imagingai [580] #healthcareai,#smarthit [571] #globalhealth,#meded [565] #machinelearning,#globalhealth [554] #artificialintelligence,#machinelearning [547] #telemednow,#capchat [533] #imagingai,#artificialintelligence [518] publichealthbot,#publichealth Top Word Pairs in Tweet in G1:
[77] #personalizedmedicine,call [54] visit,website [52] #genetics,#genomics [49] #genomics,#genetictesting [47] #personalizedmedicine,#hyderabad [43] #internalmedicine,#personalizedmedicine [43] #genetictesting,#genometesting [42] #precisionmedicine,#internalmedicine [42] #genometesting,#pharmacogenomics [40] call,today Top Word Pairs in Tweet in G2:
[32] personalized,medicine [24] #custommedications,#personalizedmedicine [22] #compounding,#custommedications [17] #hormonereplacement,#compounding [16] learn,more [14] #precisionmedicine,#personalizedmedicine [13] #compoundingpharmacy,#wellness [13] #hormonereplacementtherapy,#hormonereplacement [12] #perimenopause,#premenopause [12] #postmenopause,#perimenopause Top Word Pairs in Tweet in G3:
[842] #digitalhealth,#personalizedmedicine [614] #meded,#telemednow [571] #healthcareai,#smarthit [570] #smarthit,#imagingai [560] #globalhealth,#meded [553] #machinelearning,#globalhealth [541] #artificialintelligence,#machinelearning [538] #telemednow,#capchat [522] #imagingai,#artificialintelligence [513] publichealthbot,#publichealth Top Word Pairs in Tweet in G4:
[17] read,more [14] precision,medicine [12] #personalizedmedicine,#precisionmedicine [9] learn,more [8] personalized,medicine [8] research,using [8] #healthcare,#medicine [7] bladder,cancer [7] monitoring,bladder [7] team's,research Top Word Pairs in Tweet in G5:
[22] drug,target [16] #cancer,#biomarker [16] #ai,#multiomics [16] #multiomics,identify [16] #biomarker,drug [16] target,tweetycami [16] psychtoday,co [16] identify,#cancer [16] tweetycami,psychtoday [15] enilev,#ai Top Word Pairs in Tweet in G6:
[23] personalized,medicine [11] medicine,today [10] #precisionhealth,forward [10] permedcoalition,conference [10] move,#personalizedmedicine [10] conference,discussed [10] pmc,today [10] discussed,needed [10] health,care [10] #personalizedmedicine,#precisionhealth 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 [15] radiopharmaceutical,therapy Top Word Pairs in Tweet in G8:
[10] drug,development [7] steps,share [7] nicolekuderer,stoverlab [7] ptarantinomd,hoperugo [7] ai,next [7] multimodal,biomedical [7] tumorboardtues,dr_rshatsky [7] favour,#personalizedmedicine [7] biomedical,ai [7] health,info Top Word Pairs in Tweet in G9:
[17] #copd,#lung [17] #asthma,#copd [17] #lung,#pneumology [14] #pneumology,#breath [14] #breath,#healthcare [13] #allergology,#personalizedmedicine [13] #personalizedmedicine,#rarediseases [13] #healthcare,#asthma [13] #asthma,#allergology [11] arcadinavarro,crgenomica Top Word Pairs in Tweet in G10:
[27] year,ahead [27] things,store [27] ahead,#personalizedmedicine [27] science,year [27] 2023,predictions [27] big,things [27] store,2023 [27] predictions,science [26] stephenquake,big [7] dna,test Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G10: