The graph represents a network of 2,448 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 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 03:27 UTC.
The tweets in the network were tweeted over the 3166-day, 5-hour, 0-minute period from Tuesday, 03 June 2014 at 16:43 UTC to Thursday, 02 February 2023 at 21:44 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 : 2448
Unique Edges : 1962
Edges With Duplicates : 11685
Total Edges : 13647
Number of Edge Types : 9
Retweet : 3026
MentionsInRetweet : 4905
Mentions : 1640
Tweet : 924
Replies to : 188
MentionsInReplyTo : 293
Quote : 679
MentionsInQuote : 1982
MentionsInQuoteReply : 10
Self-Loops : 2800
Reciprocated Vertex Pair Ratio : 0.0628809752967597
Reciprocated Edge Ratio : 0.118321762752792
Connected Components : 349
Single-Vertex Connected Components : 166
Maximum Vertices in a Connected Component : 1605
Maximum Edges in a Connected Component : 12203
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.11639
Graph Density : 0.000553064843973279
Modularity : 0.232485
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,448 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 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 03:27 UTC.
The tweets in the network were tweeted over the 3166-day, 5-hour, 0-minute period from Tuesday, 03 June 2014 at 16:43 UTC to Thursday, 02 February 2023 at 21:44 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:
[995] #digitalhealth,#personalizedmedicine [661] #meded,#telemednow [654] #datascience,#digitalhealth [645] #publichealth,#datascience [632] publichealthbot,#publichealth [630] #personalizedmedicine,#patientsafety [572] #smarthit,#imagingai [571] #healthcareai,#smarthit [559] #globalhealth,#meded [557] #machinelearning,#globalhealth Top Word Pairs in Tweet in G1:
[94] #personalizedmedicine,call [63] visit,website [48] call,today [40] #genetics,#genomics [39] #personalizedmedicine,#hyderabad [38] #genomics,#genetictesting [33] website,find [33] call,visit [33] more,#transformlouisville [33] thinking,#personalizedmedicine Top Word Pairs in Tweet in G2:
[979] #digitalhealth,#personalizedmedicine [651] #meded,#telemednow [646] #datascience,#digitalhealth [636] #publichealth,#datascience [623] publichealthbot,#publichealth [609] #personalizedmedicine,#patientsafety [562] #healthcareai,#smarthit [561] #smarthit,#imagingai [548] #globalhealth,#meded [545] #machinelearning,#globalhealth Top Word Pairs in Tweet in G3:
[22] personalized,medicine [21] #custommedications,#personalizedmedicine [19] #compounding,#custommedications [14] understanding,disease [14] vast,volumes [14] disease,vast [14] research,data [14] #hormonereplacement,#compounding [14] advance,scientific [14] scientific,understanding Top Word Pairs in Tweet in G4:
[20] 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 [12] learn,more Top Word Pairs in Tweet in G5:
[23] 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:
[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 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:
[11] personalized,medicine [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 Top Word Pairs in Tweet in G10:
[12] read,more [9] #visitingprofessor,parhamsendi [9] antibiotic,therapy [9] early,switch [9] switch,iv [9] iv,oral [9] today,#visitingprofessor [9] #mayomgr,today [9] oral,antibiotic [9] parhamsendi,early Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: