The graph represents a network of 945 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, 22 January 2021 at 03:48 UTC.
The requested start date was Friday, 22 January 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 80-day, 14-hour, 39-minute period from Sunday, 01 November 2020 at 15:00 UTC to Thursday, 21 January 2021 at 05:39 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 : 945
Unique Edges : 656
Edges With Duplicates : 1587
Total Edges : 2243
Number of Edge Types : 5
Tweet : 273
Retweet : 654
MentionsInRetweet : 889
Mentions : 416
Replies to : 11
Self-Loops : 338
Reciprocated Vertex Pair Ratio : 0.0509125840537944
Reciprocated Edge Ratio : 0.0968921389396709
Connected Components : 188
Single-Vertex Connected Components : 68
Maximum Vertices in a Connected Component : 327
Maximum Edges in a Connected Component : 1148
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 4.513197
Graph Density : 0.00122634741278809
Modularity : 0.472441
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 945 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, 22 January 2021 at 03:48 UTC.
The requested start date was Friday, 22 January 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 80-day, 14-hour, 39-minute period from Sunday, 01 November 2020 at 15:00 UTC to Thursday, 21 January 2021 at 05:39 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] whole,exome [61] analyse,twistbioscience [61] twistbioscience,whole [61] exome,sequencing [61] sequencing,kit [61] kit,fully [61] fully,automated [61] automated,seamless [61] seamless,ngs [61] ngs,platform Top Word Pairs in Tweet in G1:
[61] analyse,twistbioscience [61] twistbioscience,whole [61] whole,exome [61] exome,sequencing [61] sequencing,kit [61] kit,fully [61] fully,automated [61] automated,seamless [61] seamless,ngs [61] ngs,platform Top Word Pairs in Tweet in G2:
[11] personalized,medicine [6] life,science [5] submit,abstract [5] abstract,huge [5] huge,waive [5] waive,registrations [5] registrations,great [5] great,opportunity [5] opportunity,students [5] students,#personalizedmedicine Top Word Pairs in Tweet in G3:
[36] collaborative,research [36] research,aiming [36] aiming,twitter [36] twitter,based [36] based,manuscript [36] manuscript,preparation [36] preparation,#digitalhealth [35] _atanas_,collaborative [31] #digitalhealth,#personalized [27] very,glad Top Word Pairs in Tweet in G4:
[15] 2020,project [13] leads,#caixaimpulse [13] project,aims [13] aims,boost [13] boost,#personalizedmedicine [12] read,more [11] #caixaimpulse,2020 [10] #personalizedmedicine,call [9] upfbarcelona,researcher [9] researcher,sacostav Top Word Pairs in Tweet in G5:
[45] #brainart,exhibit [45] exhibit,bridge [34] bridge,space [34] space,between [34] between,#bigdata [33] ambitious,plan [33] plan,#ohbm2021 [33] #ohbm2021,virtual [33] virtual,#brainart [32] ohbm_brainart,ambitious Top Word Pairs in Tweet in G6:
[12] personalized,medicine [10] landscape,rapidly [10] rapidly,changing [9] collective,program [9] program,make [8] targeted,#medicine [7] make,targeted [6] #medicine,reality [6] introducing,founding [6] founding,members Top Word Pairs in Tweet in G7:
[13] #janissue,machine [13] machine,learning [13] learning,approaches [13] approaches,applied [13] applied,genomic [13] genomic,datasets [13] datasets,offer [13] offer,great [13] great,promise [13] promise,deliver Top Word Pairs in Tweet in G8:
[15] weillcornell,nyphospital [15] nyphospital,nygenome [15] nygenome,illumina [15] illumina,collaborating [15] collaborating,study [15] study,large [15] large,scale [15] scale,whole [15] whole,genome [15] genome,sequencing Top Word Pairs in Tweet in G9:
[14] #now,#aha20 [14] #aha20,dr [14] dr,bonnie [14] bonnie,ky [14] ky,#personalizedmedicine [14] #personalizedmedicine,#aha20 [14] #aha20,#cardioonc [14] #cardioonc,#cardiooncology [14] #cardiooncology,novel [14] novel,practical Top Word Pairs in Tweet in G10:
[8] scientists,developed [6] #personalizedmedicine,scientists [6] developed,#machinelearning [6] #machinelearning,method [6] method,predict [6] predict,responses [6] responses,drug [6] drug,combinations [5] role,natural [5] natural,language Top Replied-To in Entire Graph:
Top Replied-To in G1:
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: