The graph represents a network of 1,233 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 Saturday, 26 June 2021 at 02:44 UTC.
The requested start date was Friday, 25 June 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 84-day, 23-hour, 9-minute period from Thursday, 01 April 2021 at 00:46 UTC to Thursday, 24 June 2021 at 23:55 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 : 1233
Unique Edges : 880
Edges With Duplicates : 2388
Total Edges : 3268
Number of Edge Types : 5
Replies to : 26
Mentions : 494
Tweet : 402
Retweet : 973
MentionsInRetweet : 1373
Self-Loops : 481
Reciprocated Vertex Pair Ratio : 0.0520760028149191
Reciprocated Edge Ratio : 0.0989966555183946
Connected Components : 245
Single-Vertex Connected Components : 100
Maximum Vertices in a Connected Component : 496
Maximum Edges in a Connected Component : 1983
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 6.27547
Graph Density : 0.000984163849127353
Modularity : 0.446986
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,233 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 Saturday, 26 June 2021 at 02:44 UTC.
The requested start date was Friday, 25 June 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 84-day, 23-hour, 9-minute period from Thursday, 01 April 2021 at 00:46 UTC to Thursday, 24 June 2021 at 23:55 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:
[79] campaign,#dhpsp [75] whole,exome [75] exome,sequencing [74] analyse,twistbioscience [74] twistbioscience,whole [74] sequencing,kit [74] kit,fully [74] fully,automated [74] automated,seamless [74] seamless,ngs Top Word Pairs in Tweet in G1:
[20] personalized,medicine [18] #personalizedmedicine,call [13] visit,website [10] best,approaches [10] approaches,technologies [10] technologies,producing [10] producing,#personalizedmedicine [10] #personalizedmedicine,fight [10] fight,cancer [10] cancer,rare Top Word Pairs in Tweet in G2:
[74] analyse,twistbioscience [74] twistbioscience,whole [74] whole,exome [74] exome,sequencing [74] sequencing,kit [74] kit,fully [74] fully,automated [74] automated,seamless [74] seamless,ngs [74] ngs,platform Top Word Pairs in Tweet in G3:
[74] campaign,#dhpsp [59] #dhpsp,utilization [59] utilization,promotion [58] impacts,biomedical [58] promotion,open [58] open,innovation [58] hashtag,based [42] biomedical,hashtag [42] based,twitter [42] twitter,campaign Top Word Pairs in Tweet in G4:
[10] awesome,interview [10] interview,jeremyjbarr [10] jeremyjbarr,#bacteriophages [10] #bacteriophages,we_talk_science [10] we_talk_science,phages [10] phages,being [10] being,utilized [10] utilized,solve [10] solve,issues [9] shebaaj,awesome Top Word Pairs in Tweet in G5:
[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 G6:
[16] working,together [14] eatriseric,#cebr [13] transfer,adoption [12] together,accelerating [11] toni,andreu [9] #biocat,eatriseric [9] looking,forward [8] manoel,barral [8] barral,netto [8] netto,fundação Top Word Pairs in Tweet in G7:
[7] moved,toward [7] toward,personalized [7] personalized,approaches [7] approaches,corresponding [7] corresponding,need [7] need,exists [7] exists,using [7] using,decision [7] decision,making [7] making,science Top Word Pairs in Tweet in G8:
[8] video,available [8] available,discover [8] discover,strategic [8] strategic,project [8] project,#pharmanagen [8] #pharmanagen,#personalizedmedicine [8] #personalizedmedicine,iniciative [8] iniciative,funded [8] funded,gob_na [8] ensure,#patient Top Word Pairs in Tweet in G9:
[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 G10:
[25] addreditors,addr [18] addr,press [15] translating,3d [15] 3d,printed [15] printed,pharmaceuticals [15] pharmaceuticals,hype [15] hype,world [15] world,clinical [15] clinical,applications [14] abdul,basit Top Replied-To in Entire Graph:
Top Replied-To in G2:
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: