The graph represents a network of 2,457 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 2/16/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 17 February 2023 at 03:27 UTC.
The tweets in the network were tweeted over the 3180-day, 7-hour, 33-minute period from Tuesday, 03 June 2014 at 16:43 UTC to Friday, 17 February 2023 at 00:16 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 : 2457
Unique Edges : 1909
Edges With Duplicates : 11506
Total Edges : 13415
Number of Edge Types : 9
Retweet : 3003
MentionsInRetweet : 4793
Mentions : 1610
Quote : 659
Tweet : 950
Replies to : 190
MentionsInReplyTo : 277
MentionsInQuote : 1923
MentionsInQuoteReply : 10
Self-Loops : 2773
Reciprocated Vertex Pair Ratio : 0.0644736842105263
Reciprocated Edge Ratio : 0.121137206427689
Connected Components : 365
Single-Vertex Connected Components : 180
Maximum Vertices in a Connected Component : 1605
Maximum Edges in a Connected Component : 11959
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.377278
Graph Density : 0.000536259493914217
Modularity : 0.232186
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,457 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 2/16/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 17 February 2023 at 03:27 UTC.
The tweets in the network were tweeted over the 3180-day, 7-hour, 33-minute period from Tuesday, 03 June 2014 at 16:43 UTC to Friday, 17 February 2023 at 00:16 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:
[956] #digitalhealth,#personalizedmedicine [656] #meded,#telemednow [610] #datascience,#digitalhealth [608] #personalizedmedicine,#patientsafety [602] #publichealth,#datascience [591] publichealthbot,#publichealth [572] #smarthit,#imagingai [571] #healthcareai,#smarthit [565] #globalhealth,#meded [563] #machinelearning,#globalhealth Top Word Pairs in Tweet in G1:
[89] #personalizedmedicine,call [61] visit,website [47] call,today [42] #genetics,#genomics [40] #genomics,#genetictesting [40] #personalizedmedicine,#hyderabad [34] #internalmedicine,#personalizedmedicine [34] #genetictesting,#genometesting [33] #precisionmedicine,#internalmedicine [33] #genometesting,#pharmacogenomics Top Word Pairs in Tweet in G2:
[940] #digitalhealth,#personalizedmedicine [646] #meded,#telemednow [604] #datascience,#digitalhealth [595] #publichealth,#datascience [586] #personalizedmedicine,#patientsafety [584] publichealthbot,#publichealth [562] #healthcareai,#smarthit [561] #smarthit,#imagingai [554] #globalhealth,#meded [551] #machinelearning,#globalhealth Top Word Pairs in Tweet in G3:
[26] personalized,medicine [24] #custommedications,#personalizedmedicine [22] #compounding,#custommedications [17] #hormonereplacement,#compounding [14] understanding,disease [14] vast,volumes [14] disease,vast [14] research,data [14] advance,scientific [14] learn,more Top Word Pairs in Tweet in G4:
[27] read,more [16] personalized,medicine [14] precision,medicine [13] single,cell [12] learn,more [11] research,read [11] crgenomica,egaarchive [11] arcadinavarro,crgenomica [9] #personalizedmedicine,#precisionmedicine [9] genomic,data Top Word Pairs in Tweet in G5:
[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 [20] theranostic,approach Top Word Pairs in Tweet in G6:
[23] personalized,medicine [13] health,care [11] medicine,today [10] #personalizedmedicine,#precisionhealth [10] discussed,needed [10] needed,move [10] permedcoalition,conference [10] pmc,today [10] #precisionhealth,forward [10] move,#personalizedmedicine Top Word Pairs in Tweet in G7:
[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 G8:
[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 [7] share,relevant Top Word Pairs in Tweet in G9:
[6] learn,more [6] #precisionmedicine,#personalizedmedicine [5] wisdom,study [5] personalized,medicine [5] breast,cancer [4] clinical,trail [4] trail,feature [4] attention,#native [4] help,improve [4] pink,day Top Word Pairs in Tweet in G10:
[9] switch,iv [9] #mayomgr,today [9] parhamsendi,early [9] iv,oral [9] #visitingprofessor,parhamsendi [9] oral,antibiotic [9] antibiotic,therapy [9] early,switch [9] today,#visitingprofessor [8] summer,school 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 Replied-To in G9:
Top Replied-To in G10:
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: