The graph represents a network of 1,074 Twitter users whose tweets in the requested range contained "personalizedmedicine", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 24 September 2021 at 02:45 UTC.
The requested start date was Friday, 24 September 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 83-day, 11-hour, 59-minute period from Thursday, 01 July 2021 at 08:00 UTC to Wednesday, 22 September 2021 at 20:00 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 1074
Unique Edges : 734
Edges With Duplicates : 2319
Total Edges : 3053
Number of Edge Types : 5
Retweet : 965
MentionsInRetweet : 1287
Tweet : 406
Mentions : 372
Replies to : 23
Self-Loops : 513
Reciprocated Vertex Pair Ratio : 0.054635761589404
Reciprocated Edge Ratio : 0.103610675039246
Connected Components : 218
Single-Vertex Connected Components : 86
Maximum Vertices in a Connected Component : 420
Maximum Edges in a Connected Component : 1877
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.721324
Graph Density : 0.00110551699840854
Modularity : 0.407313
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,074 Twitter users whose tweets in the requested range contained "personalizedmedicine", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 24 September 2021 at 02:45 UTC.
The requested start date was Friday, 24 September 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 83-day, 11-hour, 59-minute period from Thursday, 01 July 2021 at 08:00 UTC to Wednesday, 22 September 2021 at 20:00 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[162] #digitalhealth,#personalizedmedicine [150] #imagingai,#artificialintelligence [148] #artificialintelligence,#machinelearning [147] #smarthit,#imagingai [144] #isaml,#healthcareai [142] #healthcareai,#smarthit [135] #redaichat,#isaml [130] #globalhealth,#meded [128] #machinelearning,#globalhealth [127] #personalizedmedicine,#bigdata Top Word Pairs in Tweet in G1:
[24] #personalizedmedicine,call [17] visit,website [13] call,today [12] personalized,medicine [11] learn,more [10] thinking,#personalizedmedicine [10] #personalizedmedicine,visit [10] website,learn [10] more,#transformlouisville [9] today,find Top Word Pairs in Tweet in G2:
[145] #digitalhealth,#personalizedmedicine [140] #imagingai,#artificialintelligence [138] #smarthit,#imagingai [137] #artificialintelligence,#machinelearning [135] #isaml,#healthcareai [133] #healthcareai,#smarthit [126] #redaichat,#isaml [119] #globalhealth,#meded [118] #machinelearning,#globalhealth [117] #personalizedmedicine,#bigdata Top Word Pairs in Tweet in G3:
[23] single,cell [18] samir,ounzain [18] ounzain,ispiyou [15] hyper,personalized [15] #precisionmedicine,#genomics [12] read,more [11] #genomics,#aacr [10] personalized,medicines [9] one,#datamatters [9] #datamatters,instructors Top Word Pairs in Tweet in G4:
[8] predictors,net [8] net,clinical [8] clinical,benefit [8] benefit,adding [8] adding,inhaled [8] inhaled,corticosteroids [8] corticosteroids,laba [8] laba,lama [8] lama,therapy [8] therapy,#copd Top Word Pairs in Tweet in G5:
[7] #bcsm,oncoalert [7] oncoalert,#personalizedmedicine [7] #personalizedmedicine,using [7] using,residual [7] residual,disease [7] disease,#breastcancer [7] #breastcancer,findings [7] findings,advanced [7] advanced,greatly [6] special,thanks Top Word Pairs in Tweet in G6:
[19] atocha,romero [19] romero,colleagues [19] colleagues,liquidbiopsylab [19] liquidbiopsylab,identify [19] identify,mechanisms [19] mechanisms,resistance [19] resistance,alk [19] alk,inhibitors [19] inhibitors,using [19] using,ngs Top Word Pairs in Tweet in G7:
[10] targeted,gene [10] gene,therapy [10] therapy,hcm [10] hcm,becoming [10] becoming,reality [10] reality,exciting [10] exciting,times [10] times,treatment [10] treatment,#hcm [10] #hcm,#personalizedmedicine Top Word Pairs in Tweet in G8:
[14] welcome,ft3 [14] ft3,testing [14] testing,targeted [14] targeted,treatments [14] treatments,program [14] program,collective [14] collective,program [14] program,make [14] make,targeted [14] targeted,#medicine Top Word Pairs in Tweet in G9:
[12] #personalizedmedicine,#digitalhealth [11] #digitalhealth,#ehealth [9] 21,ways [9] #ehealth,#medicalcare [8] #medicalcare,#selfcare [7] #healthcare,#healthquestions [6] twins,transform [6] #selfcare,#raiseawareness [5] transform,#healthcare [5] #medofficedirect,#healthlynked Top Word Pairs in Tweet in G10:
[22] amazing,talk [22] talk,rblument1 [22] rblument1,cac [22] cac,used [22] used,identify [22] identify,pts [22] pts,benefit [22] benefit,therapies [22] therapies,high [21] ronblankstein,amazing Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G4:
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Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: