The graph represents a network of 2,337 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 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 03:27 UTC.
The tweets in the network were tweeted over the 1292-day, 2-hour, 13-minute period from Sunday, 30 June 2019 at 18:16 UTC to Thursday, 12 January 2023 at 20:30 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 : 2337
Unique Edges : 1934
Edges With Duplicates : 12042
Total Edges : 13976
Number of Edge Types : 9
Retweet : 3072
MentionsInRetweet : 5148
Mentions : 1618
Tweet : 886
MentionsInReplyTo : 279
Replies to : 163
Quote : 702
MentionsInQuote : 2105
MentionsInQuoteReply : 3
Self-Loops : 2825
Reciprocated Vertex Pair Ratio : 0.063595068137573
Reciprocated Edge Ratio : 0.119585112873703
Connected Components : 310
Single-Vertex Connected Components : 147
Maximum Vertices in a Connected Component : 1609
Maximum Edges in a Connected Component : 12711
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.88172
Graph Density : 0.000600450759374212
Modularity : 0.22213
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,337 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 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 03:27 UTC.
The tweets in the network were tweeted over the 1292-day, 2-hour, 13-minute period from Sunday, 30 June 2019 at 18:16 UTC to Thursday, 12 January 2023 at 20:30 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:
[1058] #digitalhealth,#personalizedmedicine [726] #datascience,#digitalhealth [715] #publichealth,#datascience [698] publichealthbot,#publichealth [675] #meded,#telemednow [673] #personalizedmedicine,#patientsafety [560] #smarthit,#imagingai [559] #globalhealth,#meded [559] #healthcareai,#smarthit [557] #machinelearning,#globalhealth Top Word Pairs in Tweet in G1:
[101] #personalizedmedicine,call [75] visit,website [52] call,today [35] website,find [35] call,visit [35] more,#transformlouisville [35] thinking,#personalizedmedicine [34] health,#personalizedmedicine [33] today,find [32] considering,#personalizedmedicine Top Word Pairs in Tweet in G2:
[1040] #digitalhealth,#personalizedmedicine [716] #datascience,#digitalhealth [704] #publichealth,#datascience [688] publichealthbot,#publichealth [665] #meded,#telemednow [654] #personalizedmedicine,#patientsafety [550] #healthcareai,#smarthit [549] #smarthit,#imagingai [548] #globalhealth,#meded [545] #machinelearning,#globalhealth Top Word Pairs in Tweet in G3:
[18] personalized,medicine [17] #custommedications,#personalizedmedicine [15] #compounding,#custommedications [15] #precisionmedicine,#personalizedmedicine [14] together,advance [14] advance,scientific [14] development,drugs [14] volumes,data [14] scientists,technology [14] understanding,disease Top Word Pairs in Tweet in G4:
[21] read,more [20] symposium,anaconesa [20] opening,symposium [20] #escs2022,alfons_valencia [20] confirmed,#keynotespeakers [20] alfons_valencia,opening [20] #keynotespeakers,#escs2022 [19] iscb_escs,confirmed [19] anaconesa,closi [11] arcadinavarro,crgenomica Top Word Pairs in Tweet in G5:
[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 [20] promising,theranostic Top Word Pairs in Tweet in G6:
[18] personalized,medicine [10] conference,discussed [10] #precisionhealth,forward [10] discussed,needed [10] #personalizedmedicine,#precisionhealth [10] needed,move [10] pmc,today [10] permedcoalition,conference [10] move,#personalizedmedicine [9] #fh,#fishawackhealth Top Word Pairs in Tweet in G7:
[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 G8:
[23] drug,target [17] #multiomics,identify [17] tweetycami,psychtoday [17] psychtoday,co [17] target,tweetycami [17] #biomarker,drug [17] #ai,#multiomics [17] #cancer,#biomarker [17] identify,#cancer [16] enilev,#ai Top Word Pairs in Tweet in G9:
[10] experiences,discuss [10] discuss,opportunities [10] invited,join [10] abcap,project [10] join,nov [10] share,experiences [10] webinar,share [10] nov,23 [10] opportunities,challenges [10] 23,webinar Top Word Pairs in Tweet in G10:
[15] read,more [9] #visitingprofessor,parhamsendi [9] antibiotic,therapy [9] early,switch [9] switch,iv [9] iv,oral [9] today,#visitingprofessor [9] #mayomgr,today [9] single,cell [9] oral,antibiotic 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 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: