The graph represents a network of 2,455 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 03:26 UTC.
The tweets in the network were tweeted over the 1319-day, 23-hour, 42-minute period from Sunday, 30 June 2019 at 18:16 UTC to Thursday, 09 February 2023 at 17:59 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 : 2455
Unique Edges : 1949
Edges With Duplicates : 11560
Total Edges : 13509
Number of Edge Types : 9
Retweet : 3015
MentionsInRetweet : 4851
Tweet : 936
Quote : 665
Mentions : 1636
MentionsInQuote : 1943
MentionsInReplyTo : 276
Replies to : 184
MentionsInQuoteReply : 3
Self-Loops : 2780
Reciprocated Vertex Pair Ratio : 0.0645894190197988
Reciprocated Edge Ratio : 0.121341463414634
Connected Components : 359
Single-Vertex Connected Components : 174
Maximum Vertices in a Connected Component : 1597
Maximum Edges in a Connected Component : 12047
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.233882
Graph Density : 0.000544437196347623
Modularity : 0.233139
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,455 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 03:26 UTC.
The tweets in the network were tweeted over the 1319-day, 23-hour, 42-minute period from Sunday, 30 June 2019 at 18:16 UTC to Thursday, 09 February 2023 at 17:59 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:
[975] #digitalhealth,#personalizedmedicine [653] #meded,#telemednow [630] #datascience,#digitalhealth [622] #publichealth,#datascience [616] #personalizedmedicine,#patientsafety [610] publichealthbot,#publichealth [572] #smarthit,#imagingai [571] #healthcareai,#smarthit [559] #globalhealth,#meded [557] #machinelearning,#globalhealth Top Word Pairs in Tweet in G1:
[90] #personalizedmedicine,call [62] visit,website [47] call,today [40] #genetics,#genomics [39] #personalizedmedicine,#hyderabad [38] #genomics,#genetictesting [32] more,#transformlouisville [32] call,visit [32] thinking,#personalizedmedicine [32] #internalmedicine,#personalizedmedicine Top Word Pairs in Tweet in G2:
[959] #digitalhealth,#personalizedmedicine [643] #meded,#telemednow [624] #datascience,#digitalhealth [615] #publichealth,#datascience [603] publichealthbot,#publichealth [595] #personalizedmedicine,#patientsafety [562] #healthcareai,#smarthit [561] #smarthit,#imagingai [548] #globalhealth,#meded [545] #machinelearning,#globalhealth Top Word Pairs in Tweet in G3:
[25] personalized,medicine [23] #custommedications,#personalizedmedicine [21] #compounding,#custommedications [16] #hormonereplacement,#compounding [14] understanding,disease [14] vast,volumes [14] disease,vast [14] research,data [14] advance,scientific [14] scientific,understanding Top Word Pairs in Tweet in G4:
[19] read,more [16] symposium,anaconesa [16] opening,symposium [16] #escs2022,alfons_valencia [16] confirmed,#keynotespeakers [16] alfons_valencia,opening [16] #keynotespeakers,#escs2022 [15] iscb_escs,confirmed [15] anaconesa,closi [12] learn,more 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:
[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] psychtoday,co [16] identify,#cancer [16] #ai,#multiomics [16] #biomarker,drug [16] tweetycami,psychtoday [16] #multiomics,identify [16] #cancer,#biomarker [16] target,tweetycami [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:
[21] personalized,medicine [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 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:
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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: