The graph represents a network of 880 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 Sunday, 21 February 2021 at 03:48 UTC.
The requested start date was Friday, 19 February 2021 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 79-day, 20-hour, 42-minute period from Tuesday, 01 December 2020 at 00:47 UTC to Thursday, 18 February 2021 at 21:29 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 : 880
Unique Edges : 650
Edges With Duplicates : 1409
Total Edges : 2059
Number of Edge Types : 5
Tweet : 264
Retweet : 594
MentionsInRetweet : 845
Mentions : 347
Replies to : 9
Self-Loops : 340
Reciprocated Vertex Pair Ratio : 0.0434332988624612
Reciprocated Edge Ratio : 0.0832507433102081
Connected Components : 197
Single-Vertex Connected Components : 83
Maximum Vertices in a Connected Component : 296
Maximum Edges in a Connected Component : 1067
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.772141
Graph Density : 0.0013044265177371
Modularity : 0.483888
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 880 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 Sunday, 21 February 2021 at 03:48 UTC.
The requested start date was Friday, 19 February 2021 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 79-day, 20-hour, 42-minute period from Tuesday, 01 December 2020 at 00:47 UTC to Thursday, 18 February 2021 at 21:29 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:
[76] analyse,twistbioscience [76] twistbioscience,whole [76] whole,exome [76] exome,sequencing [76] sequencing,kit [76] kit,fully [76] fully,automated [76] automated,seamless [76] seamless,ngs [76] ngs,platform Top Word Pairs in Tweet in G1:
[13] personalized,medicine [7] learn,more [6] #personalizedmedicine,#genetics [6] #genomics,#medicine [6] #medicine,#healthcare [6] life,science [5] submit,abstract [5] abstract,huge [5] huge,waive [5] waive,registrations Top Word Pairs in Tweet in G2:
[28] read,more [19] single,cell [15] cell,analysis [12] #personalizedmedicine,read [12] more,#research [10] #personalizedmedicine,call [9] analysis,market [8] growing,demand [8] demand,#personalizedmedicine [8] visit,website Top Word Pairs in Tweet in G3:
[14] cancer_cell,published [14] published,paper [14] paper,describing [14] describing,aims [14] aims,#tupro [14] #tupro,trial [14] trial,great [14] great,collaboration [14] collaboration,between [14] between,roche Top Word Pairs in Tweet in G4:
[6] founding,members [5] introducing,founding [4] covid,19 [4] accelerate,benefits [4] benefits,#personalizedmedicine [4] #personalizedmedicine,#precisionmedicine [4] generating,better [4] better,evidence [4] focusing,#personalizedmedicine [4] #personalizedmedicine,potential Top Word Pairs in Tweet in G5:
[33] ambitious,plan [33] plan,#ohbm2021 [33] #ohbm2021,virtual [33] virtual,#brainart [33] #brainart,exhibit [33] exhibit,bridge [33] bridge,space [33] space,between [33] between,#bigdata [32] ohbm_brainart,ambitious Top Word Pairs in Tweet in G6:
[72] analyse,twistbioscience [72] twistbioscience,whole [72] whole,exome [72] exome,sequencing [72] sequencing,kit [72] kit,fully [72] fully,automated [72] automated,seamless [72] seamless,ngs [72] ngs,platform Top Word Pairs in Tweet in G7:
[15] edd,edc [15] #ehealth,#fertilityawareness [15] #fertilityawareness,#femtech [15] #femtech,developer [15] developer,replace [15] replace,lmp [15] lmp,naegele [13] edc,assesment [13] assesment,#ehealth [13] naegele,approach Top Word Pairs in Tweet in G8:
[7] call,papers [7] papers,prediction [7] prediction,factor [7] factor,#medicaldecision [7] #medicaldecision,age [7] age,#bigdata [7] #bigdata,co [7] co,organized [7] organized,margo [7] margo,bernelin Top Word Pairs in Tweet in G9:
[14] 2020,project [13] leads,#caixaimpulse [13] project,aims [13] aims,boost [13] boost,#personalizedmedicine [10] #caixaimpulse,2020 [9] upfbarcelona,researcher [9] researcher,sacostav [9] sacostav,leads [7] last,paper Top Word Pairs in Tweet in G10:
[8] very,glad [8] glad,present [8] present,#dhpsp [8] #dhpsp,list [8] list,attention [8] attention,following [8] following,twitter [7] _atanas_,very [7] twitter,communitie [4] collaborative,research Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G9:
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: