The graph represents a network of 1,002 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, 13 August 2021 at 02:45 UTC.
The requested start date was Friday, 13 August 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 71-day, 16-hour, 44-minute period from Tuesday, 01 June 2021 at 04:58 UTC to Wednesday, 11 August 2021 at 21:42 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 : 1002
Unique Edges : 677
Edges With Duplicates : 1965
Total Edges : 2642
Number of Edge Types : 5
Retweet : 794
MentionsInRetweet : 1105
Tweet : 321
Mentions : 398
Replies to : 24
Self-Loops : 388
Reciprocated Vertex Pair Ratio : 0.0575730735163862
Reciprocated Edge Ratio : 0.108877721943049
Connected Components : 204
Single-Vertex Connected Components : 78
Maximum Vertices in a Connected Component : 367
Maximum Edges in a Connected Component : 1501
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.326171
Graph Density : 0.00119042634012694
Modularity : 0.445914
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,002 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, 13 August 2021 at 02:45 UTC.
The requested start date was Friday, 13 August 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 71-day, 16-hour, 44-minute period from Tuesday, 01 June 2021 at 04:58 UTC to Wednesday, 11 August 2021 at 21:42 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:
[68] impacts,biomedical [68] campaign,#dhpsp [68] #dhpsp,utilization [68] utilization,promotion [68] promotion,open [68] open,innovation [58] personalized,medicine [56] analyse,twistbioscience [56] twistbioscience,whole [56] whole,exome Top Word Pairs in Tweet in G1:
[20] personalized,medicine [15] #personalizedmedicine,call [11] visit,website [10] learn,more [8] žð,œð [8] call,today [7] thinking,#personalizedmedicine [7] #personalizedmedicine,visit [7] website,learn [7] more,#transformlouisville Top Word Pairs in Tweet in G2:
[67] impacts,biomedical [67] campaign,#dhpsp [67] #dhpsp,utilization [67] utilization,promotion [67] promotion,open [67] open,innovation [48] biomedical,hashtag [48] hashtag,based [48] based,twitter [48] twitter,campaign Top Word Pairs in Tweet in G3:
[56] analyse,twistbioscience [56] twistbioscience,whole [56] whole,exome [56] exome,sequencing [56] sequencing,kit [56] kit,fully [56] fully,automated [56] automated,seamless [56] seamless,ngs [56] ngs,platform Top Word Pairs in Tweet in G4:
[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 G5:
[23] 50,#nsclc [23] #nsclc,pts [23] pts,getting [23] getting,tested [23] tested,immediately [23] immediately,actionable [23] actionable,mutations [23] mutations,shocking [23] shocking,everyone [23] everyone,need Top Word Pairs in Tweet in G6:
[19] #personalizedmedicine,#digitalhealth [17] #digitalhealth,#ehealth [15] #selfcare,#raiseawareness [14] #ehealth,#medicalcare [14] #medicalcare,#selfcare [9] #healthcare,#healthquestions [9] 21,ways [8] #healthlynked,#personalizedmedicine [7] #healthinnovations,#wellness [6] #healthylifestyle,#healthcare Top Word Pairs in Tweet in G7:
[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 G8:
[15] working,together [15] eatriseric,#cebr [12] transfer,adoption [11] together,accelerating [11] toni,andreu [10] #biocat,eatriseric [9] european,clusters [8] last,call [8] biocat_en,#personalizedmedicine [7] manoel,barral Top Word Pairs in Tweet in G9:
[25] please,re [25] re,tweet [25] tweet,terrific [25] terrific,infographic [25] infographic,exploring [25] exploring,#personalizedmedicine [25] #personalizedmedicine,#dementia [25] #dementia,image [25] image,3spirituknz [24] lead_coalition,please Top Word Pairs in Tweet in G10:
[13] strategies,personalized [13] personalized,control [13] control,postprandial [13] postprandial,glucose [13] glucose,worth [13] worth,effort [13] effort,expense [13] expense,clinically [13] clinically,meaningful [12] danieljdrucker,strategies Top Replied-To in Entire Graph:
Top Replied-To in G6:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: