The graph represents a network of 2,322 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 12/29/2022 5:00:32 PM. The network was obtained from Twitter on Friday, 30 December 2022 at 03:27 UTC.
The tweets in the network were tweeted over the 1278-day, 0-hour, 44-minute period from Sunday, 30 June 2019 at 18:16 UTC to Thursday, 29 December 2022 at 19:01 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 : 2322
Unique Edges : 1935
Edges With Duplicates : 12275
Total Edges : 14210
Number of Edge Types : 9
Retweet : 3096
MentionsInRetweet : 5229
Mentions : 1636
Replies to : 156
MentionsInReplyTo : 272
Tweet : 864
Quote : 711
MentionsInQuote : 2243
MentionsInQuoteReply : 3
Self-Loops : 2834
Reciprocated Vertex Pair Ratio : 0.0629032258064516
Reciprocated Edge Ratio : 0.118361153262519
Connected Components : 295
Single-Vertex Connected Components : 141
Maximum Vertices in a Connected Component : 1592
Maximum Edges in a Connected Component : 12972
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.627646
Graph Density : 0.000611389622741987
Modularity : 0.219373
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,322 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 12/29/2022 5:00:32 PM. The network was obtained from Twitter on Friday, 30 December 2022 at 03:27 UTC.
The tweets in the network were tweeted over the 1278-day, 0-hour, 44-minute period from Sunday, 30 June 2019 at 18:16 UTC to Thursday, 29 December 2022 at 19:01 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:
[1073] #digitalhealth,#personalizedmedicine [743] #datascience,#digitalhealth [731] #publichealth,#datascience [714] publichealthbot,#publichealth [685] #personalizedmedicine,#patientsafety [678] #meded,#telemednow [563] #smarthit,#imagingai [562] #healthcareai,#smarthit [559] #globalhealth,#meded [557] #machinelearning,#globalhealth Top Word Pairs in Tweet in G1:
[104] #personalizedmedicine,call [71] visit,website [53] call,today [37] more,#transformlouisville [37] call,visit [37] thinking,#personalizedmedicine [37] website,find [34] wondering,#personalizedmedicine [34] #personalizedmedicine,visit [34] health,#personalizedmedicine Top Word Pairs in Tweet in G2:
[1053] #digitalhealth,#personalizedmedicine [732] #datascience,#digitalhealth [719] #publichealth,#datascience [703] publichealthbot,#publichealth [666] #personalizedmedicine,#patientsafety [663] #meded,#telemednow [546] #healthcareai,#smarthit [545] #smarthit,#imagingai [543] #globalhealth,#meded [540] #patientsafety,sciencecommuni2 Top Word Pairs in Tweet in G3:
[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 G4:
[19] personalized,medicine [18] #precisionmedicine,#personalizedmedicine [14] together,advance [14] data,available [14] vast,volumes [14] technology,expediting [14] advance,scientific [14] scientists,technology [14] genetic,research [14] disease,vast Top Word Pairs in Tweet in G5:
[29] psma,imaging [24] role,psma [24] drmhofman,elila74 [24] #prostatecancer,profkherrmann [24] profkherrmann,drmhofman [24] metastatic,#prostatecancer [24] imaging,metastatic [24] elila74,stefanofanti4 [23] journalofnucmed,role [20] promising,theranostic Top Word Pairs in Tweet in G6:
[17] personalized,medicine [10] #precisionhealth,forward [10] permedcoalition,conference [10] move,#personalizedmedicine [10] conference,discussed [10] pmc,today [10] discussed,needed [10] #personalizedmedicine,#precisionhealth [10] needed,move [9] dramyabernethy,permedcoalition Top Word Pairs in Tweet in G7:
[7] favour,#personalizedmedicine [7] relevant,health [7] share,relevant [7] biomedical,ai [7] nicolekuderer,stoverlab [7] dr_rshatsky,ptarantinomd [7] supportive,care [7] hoperugo,nicolekuderer [7] next,steps [7] steps,share Top Word Pairs in Tweet in G8:
[30] unleashing,future [30] platform,transform [30] today,robust [29] transform,know [28] #ai,platform [28] robust,#ai [28] #genomics,today [28] future,#genomics [28] #nvidia,unleashing [28] hpe,#nvidia Top Word Pairs in Tweet in G9:
[23] drug,target [17] #multiomics,identify [17] #biomarker,drug [17] tweetycami,psychtoday [17] #cancer,#biomarker [17] #ai,#multiomics [17] target,tweetycami [17] psychtoday,co [17] identify,#cancer [16] enilev,#ai Top Word Pairs in Tweet in G10:
[10] opportunities,challenges [10] abcap,project [10] webinar,share [10] experiences,discuss [10] discuss,opportunities [10] nov,23 [10] 23,webinar [10] join,nov [10] share,experiences [10] invited,join Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: