The graph represents a network of 998 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, 11 June 2021 at 02:44 UTC.
The requested start date was Friday, 11 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 69-day, 22-hour, 35-minute period from Thursday, 01 April 2021 at 00:46 UTC to Wednesday, 09 June 2021 at 23:22 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 : 998
Unique Edges : 682
Edges With Duplicates : 1824
Total Edges : 2506
Number of Edge Types : 5
Retweet : 748
MentionsInRetweet : 1049
Tweet : 350
Replies to : 21
Mentions : 338
Self-Loops : 410
Reciprocated Vertex Pair Ratio : 0.046918123275069
Reciprocated Edge Ratio : 0.0896309314586995
Connected Components : 214
Single-Vertex Connected Components : 90
Maximum Vertices in a Connected Component : 284
Maximum Edges in a Connected Component : 1222
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.180055
Graph Density : 0.00114371169621088
Modularity : 0.453007
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 998 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, 11 June 2021 at 02:44 UTC.
The requested start date was Friday, 11 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 69-day, 22-hour, 35-minute period from Thursday, 01 April 2021 at 00:46 UTC to Wednesday, 09 June 2021 at 23:22 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:
[62] please,re [62] re,tweet [62] tweet,terrific [62] terrific,infographic [62] infographic,exploring [62] exploring,#personalizedmedicine [62] #personalizedmedicine,#dementia [62] #dementia,image [62] image,3spirituknz [61] whole,exome Top Word Pairs in Tweet in G1:
[17] #personalizedmedicine,call [13] visit,website [12] personalized,medicine [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:
[60] analyse,twistbioscience [60] twistbioscience,whole [60] whole,exome [60] exome,sequencing [60] sequencing,kit [60] kit,fully [60] fully,automated [60] automated,seamless [60] seamless,ngs [60] ngs,platform Top Word Pairs in Tweet in G3:
[62] please,re [62] re,tweet [62] tweet,terrific [62] terrific,infographic [62] infographic,exploring [62] exploring,#personalizedmedicine [62] #personalizedmedicine,#dementia [62] #dementia,image [62] image,3spirituknz [61] lead_coalition,please Top Word Pairs in Tweet in G4:
[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 G5:
[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 G6:
[8] market,worth [7] recent,guest [7] looking,forward [7] #proteomics,#multiomics [7] #multiomics,positioned [7] positioned,dominate [7] dominate,advances [7] advances,#medicine [7] #medicine,#healthcare [7] #healthcare,#lifesciences Top Word Pairs in Tweet in G7:
[16] #digitalhealth,#personalizedmedicine [16] chk,#research [16] #research,collab [16] collab,co [16] co,gytoa0evzx [16] gytoa0evzx,impacts [16] impacts,#biomedical [16] #biomedical,hashtag [16] hashtag,based [16] based,#twitter 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 [7] ensure,#patient Top Word Pairs in Tweet in G9:
[48] add'l,biozhena [48] biozhena,files [41] files,downloads [33] #ehealth,#impinv [33] #impinv,#vc [33] #vc,#obgyn [33] #obgyn,#emergingtech [33] #emergingtech,#fertility [33] #fertility,#precisionmedicine [33] #precisionmedicine,#digitalmedicine Top Word Pairs in Tweet in G10:
[18] addr,press [17] addreditors,addr [11] abdul,basit [11] basit,coworkers [9] drug,delivery [7] press,translating [7] translating,3d [7] 3d,printed [7] printed,pharmaceuticals [7] pharmaceuticals,hype Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
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: