The graph represents a network of 1,469 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, 03 December 2021 at 03:45 UTC.
The requested start date was Friday, 03 December 2021 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 91-day, 21-hour, 14-minute period from Wednesday, 01 September 2021 at 03:29 UTC to Thursday, 02 December 2021 at 00:44 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 : 1469
Unique Edges : 1220
Edges With Duplicates : 2762
Total Edges : 3982
Number of Edge Types : 5
Mentions : 575
Retweet : 1165
MentionsInRetweet : 1787
Tweet : 436
Replies to : 19
Self-Loops : 543
Reciprocated Vertex Pair Ratio : 0.0534473543559594
Reciprocated Edge Ratio : 0.101471334348047
Connected Components : 237
Single-Vertex Connected Components : 92
Maximum Vertices in a Connected Component : 527
Maximum Edges in a Connected Component : 2193
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 6.276356
Graph Density : 0.000913984378332959
Modularity : 0.480224
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,469 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, 03 December 2021 at 03:45 UTC.
The requested start date was Friday, 03 December 2021 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 91-day, 21-hour, 14-minute period from Wednesday, 01 September 2021 at 03:29 UTC to Thursday, 02 December 2021 at 00:44 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:
[123] ai,transforming [123] transforming,healthcare [123] healthcare,those [123] those,changes [123] changes,happening [123] happening,inside [121] drgauravchandra,ai [119] inside,microbiome [119] microbiome,level [113] level,tak Top Word Pairs in Tweet in G1:
[122] ai,transforming [122] transforming,healthcare [122] healthcare,those [122] those,changes [122] changes,happening [122] happening,inside [121] drgauravchandra,ai [118] inside,microbiome [118] microbiome,level [113] level,tak Top Word Pairs in Tweet in G2:
[71] analyse,twistbioscience [71] twistbioscience,whole [71] whole,exome [71] exome,sequencing [71] sequencing,kit [71] kit,fully [71] fully,automated [71] automated,seamless [71] seamless,ngs [71] ngs,platform Top Word Pairs in Tweet in G3:
[28] #personalizedmedicine,call [16] visit,website [15] learn,more [14] call,today [10] today,find [9] health,#personalizedmedicine [9] considering,#personalizedmedicine [9] call,visit [9] website,find [9] wondering,#personalizedmedicine Top Word Pairs in Tweet in G4:
[84] #healthcareai,#smarthit [83] #globalhealth,#meded [82] #machinelearning,#globalhealth [81] #personalizedmedicine,#bigdata [80] #redaichat,#isaml [80] #isaml,#healthcareai [77] #digitalhealth,#personalizedmedicine [75] #smarthit,#imagingai [75] #imagingai,#artificialintelligence [75] #artificialintelligence,#machinelearning Top Word Pairs in Tweet in G5:
[17] single,cell [11] #personalizedmedicine,#precisionmedicine [11] read,more [9] cell,analysis [8] more,#research [7] gang,song [7] take,future [6] co,selected [6] selected,dr [6] dr,mary Top Word Pairs in Tweet in G6:
[19] jbarbosapr,enricomolinari [19] enricomolinari,raconteur [19] raconteur,evankirstel [19] evankirstel,johnnosta [19] johnnosta,jolaburnett [19] jolaburnett,michelleragusa [19] michelleragusa,tylercohenwood [19] tylercohenwood,trippbraden [18] irmaraste,jbarbosapr [18] trippbraden,ra Top Word Pairs in Tweet in G7:
[8] thrilled,see [8] see,convo [8] convo,ginakolata [8] ginakolata,nytimes [8] nytimes,therapy [8] therapy,chemo [8] chemo,#lungcancer [8] #lungcancer,reality [7] collaborations,yalecancer [7] yalecancer,network Top Word Pairs in Tweet in G8:
[9] breast,cancer [8] cancer,database [8] personalized,medicine [7] uc,san [7] san,diego [7] diego,health [7] health,acquired [7] acquired,million [7] million,gift [7] gift,create Top Word Pairs in Tweet in G9:
[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 G10:
[7] advances,#personalizedmedicine [6] pandemic's,tragically [6] tragically,uneven [6] uneven,impact [6] latest,article [6] article,permedcoalition [6] permedcoalition,discuss [6] discuss,potential [6] potential,exciting [6] exciting,advances Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: