The graph represents a network of 1,446 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, 25 February 2022 at 03:45 UTC.
The requested start date was Friday, 25 February 2022 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 114-day, 19-hour, 35-minute period from Monday, 01 November 2021 at 07:42 UTC to Thursday, 24 February 2022 at 03:18 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 : 1446
Unique Edges : 1263
Edges With Duplicates : 2978
Total Edges : 4241
Number of Edge Types : 5
Retweet : 1084
MentionsInRetweet : 1898
Tweet : 488
Mentions : 731
Replies to : 40
Self-Loops : 544
Reciprocated Vertex Pair Ratio : 0.0508298755186722
Reciprocated Edge Ratio : 0.0967423494570582
Connected Components : 254
Single-Vertex Connected Components : 115
Maximum Vertices in a Connected Component : 697
Maximum Edges in a Connected Component : 2914
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.380812
Graph Density : 0.000969623875911116
Modularity : 0.46042
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,446 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, 25 February 2022 at 03:45 UTC.
The requested start date was Friday, 25 February 2022 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 114-day, 19-hour, 35-minute period from Monday, 01 November 2021 at 07:42 UTC to Thursday, 24 February 2022 at 03:18 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:
[85] personalized,medicine [73] #precisionmedicine,#personalizedmedicine [70] #digitalhealth,#personalizedmedicine [47] publichealthbot,#publichealth [44] #publichealth,#datascience [43] î,î [41] digital,health [39] #personalizedmedicine,call [39] #5g,publichealthbot [39] #healthtech,#medtech Top Word Pairs in Tweet in G1:
[39] #personalizedmedicine,call [23] visit,website [22] personalized,medicine [20] call,today [14] thinking,#personalizedmedicine [14] today,find [14] more,#transformlouisville [14] read,more [13] wondering,#personalizedmedicine [13] health,#personalizedmedicine Top Word Pairs in Tweet in G2:
[43] î,î [17] personalized,medicine [7] #precisionmedicine,#personalizedmedicine [6] precision,medicine [6] î,îµï [5] #ad,#personalizedmedicine [5] learn,more [5] îµï,î [5] #genesavvy,#getsavvy [4] read,more Top Word Pairs in Tweet in G3:
[31] precision,dosing [27] patient,dosed [27] dosed,minute [27] minute,using [27] using,precision [27] dosing,platform [27] platform,2021 [27] 2021,tripled [27] tripled,number [27] democratized,research Top Word Pairs in Tweet in G4:
[59] #digitalhealth,#personalizedmedicine [47] publichealthbot,#publichealth [44] #publichealth,#datascience [40] digital,health [39] #5g,publichealthbot [37] impacts,biomedical [37] biomedical,hashtag [37] hashtag,based [37] based,twitter [37] twitter,campaign Top Word Pairs in Tweet in G5:
[18] #personalizedmedicine,#precisionmedicine [17] analyse,twistbioscience [17] twistbioscience,whole [17] whole,exome [17] exome,sequencing [17] sequencing,kit [17] kit,fully [17] fully,automated [17] automated,seamless [17] seamless,ngs Top Word Pairs in Tweet in G6:
[27] digital,solutions [27] gene,therapy [24] solutions,cellular [24] cellular,gene [24] therapy,#cell [24] #cell,#gene [24] #gene,therapies [24] therapies,part [24] part,#personalizedmedicine [23] irmaraste,digital Top Word Pairs in Tweet in G7:
[23] treatment,ac [23] ac,psma [23] psma,617 [23] 617,administered [23] administered,immediately [23] immediately,following [23] following,androgen [23] androgen,deprivation [23] deprivation,therapy [23] therapy,highly Top Word Pairs in Tweet in G8:
[8] #biobanking,provides [8] provides,fundamental [8] fundamental,infrastructure [8] infrastructure,#personalizedmedicine [8] #personalizedmedicine,prevention [8] prevention,diagnostics [8] diagnostics,treatment [8] #personalizedmedicine,#biobanking [7] bbmrieric,#biobanking [6] #fh,#bestpractice Top Word Pairs in Tweet in G9:
[36] gave,kred [36] kred,healthtechtalkn [36] healthtechtalkn,kred [36] kred,#influence [36] #influence,#precisionmedicine [36] #precisionmedicine,#personalizedmedicine [36] #personalizedmedicine,#healthtech [36] #healthtech,#medtech [20] eli_krumova,gave [17] #medtech,#health Top Word Pairs in Tweet in G10:
[26] editor,choice [26] choice,state [26] state,art [26] art,review [26] review,organ [26] organ,chip [26] chip,technology [26] technology,including [26] including,latest [26] latest,#research Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: