The graph represents a network of 1,274 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, 06 August 2021 at 02:46 UTC.
The requested start date was Friday, 06 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 93-day, 19-hour, 10-minute period from Saturday, 01 May 2021 at 06:54 UTC to Tuesday, 03 August 2021 at 02:04 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 : 1274
Unique Edges : 903
Edges With Duplicates : 2549
Total Edges : 3452
Number of Edge Types : 5
Tweet : 398
Retweet : 1035
MentionsInRetweet : 1492
Mentions : 494
Replies to : 33
Self-Loops : 483
Reciprocated Vertex Pair Ratio : 0.0504313205043132
Reciprocated Edge Ratio : 0.0960202147820594
Connected Components : 245
Single-Vertex Connected Components : 93
Maximum Vertices in a Connected Component : 482
Maximum Edges in a Connected Component : 1998
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.014585
Graph Density : 0.000976074761284053
Modularity : 0.445841
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,274 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, 06 August 2021 at 02:46 UTC.
The requested start date was Friday, 06 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 93-day, 19-hour, 10-minute period from Saturday, 01 May 2021 at 06:54 UTC to Tuesday, 03 August 2021 at 02:04 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:
[86] campaign,#dhpsp [75] analyse,twistbioscience [75] twistbioscience,whole [75] whole,exome [75] exome,sequencing [75] sequencing,kit [75] kit,fully [75] fully,automated [75] automated,seamless [75] seamless,ngs Top Word Pairs in Tweet in G1:
[75] analyse,twistbioscience [75] twistbioscience,whole [75] whole,exome [75] exome,sequencing [75] sequencing,kit [75] kit,fully [75] fully,automated [75] automated,seamless [75] seamless,ngs [75] ngs,platform Top Word Pairs in Tweet in G2:
[22] personalized,medicine [21] #personalizedmedicine,call [15] visit,website [10] call,today [9] learn,more [9] thinking,#personalizedmedicine [9] more,#transformlouisville [8] žð,œð [8] #personalizedmedicine,visit [8] website,learn Top Word Pairs in Tweet in G3:
[80] campaign,#dhpsp [66] #dhpsp,utilization [66] utilization,promotion [65] impacts,biomedical [65] promotion,open [65] open,innovation [64] hashtag,based [49] biomedical,hashtag [49] based,twitter [49] twitter,campaign Top Word Pairs in Tweet in G4:
[63] please,re [63] re,tweet [63] tweet,terrific [63] terrific,infographic [63] infographic,exploring [63] exploring,#personalizedmedicine [63] #personalizedmedicine,#dementia [63] #dementia,image [63] image,3spirituknz [62] lead_coalition,please Top Word Pairs in Tweet in G5:
[11] precision,antigen [11] antigen,selection [11] selection,being [11] being,used [11] used,create [11] create,personalized [11] personalized,cancer [11] cancer,vaccines [11] vaccines,cell [11] cell,therapy Top Word Pairs in Tweet in G6:
[9] #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 [7] moved,toward Top Word Pairs in Tweet in G7:
[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 G8:
[9] personalized,medicine [7] interested,applying [7] applying,european [7] european,postdoctoral [7] postdoctoral,grant [7] grant,part [7] part,personalized [7] medicine,#biostatistics [7] #biostatistics,#ehealth [6] know,more Top Word Pairs in Tweet in G9:
[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 Word Pairs in Tweet in G10:
[27] #digitalhealth,#ehealth [24] #healthlynked,#personalizedmedicine [21] #personalizedmedicine,#personalizedhealthcare [19] #personalizedmedicine,#digitalhealth [17] #personalizedhealthcare,#customizedmedicine [17] #ehealth,#medicalcare [17] #medicalcare,#selfcare [14] #selfcare,#raiseawareness [12] #customizedmedicine,#digitalhealth [8] #healthinnovations,#wellness Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G6:
Top Replied-To in G8:
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: