The graph represents a network of 739 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, 05 March 2021 at 03:48 UTC.
The requested start date was Friday, 05 March 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 60-day, 22-hour, 15-minute period from Saturday, 02 January 2021 at 00:00 UTC to Wednesday, 03 March 2021 at 22:15 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 : 739
Unique Edges : 567
Edges With Duplicates : 1148
Total Edges : 1715
Number of Edge Types : 5
Tweet : 231
Retweet : 500
MentionsInRetweet : 723
Replies to : 9
Mentions : 252
Self-Loops : 291
Reciprocated Vertex Pair Ratio : 0.0466830466830467
Reciprocated Edge Ratio : 0.0892018779342723
Connected Components : 167
Single-Vertex Connected Components : 71
Maximum Vertices in a Connected Component : 260
Maximum Edges in a Connected Component : 896
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 5.383309
Graph Density : 0.00156220777363389
Modularity : 0.493739
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 739 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, 05 March 2021 at 03:48 UTC.
The requested start date was Friday, 05 March 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 60-day, 22-hour, 15-minute period from Saturday, 02 January 2021 at 00:00 UTC to Wednesday, 03 March 2021 at 22:15 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:
[63] analyse,twistbioscience [63] twistbioscience,whole [63] whole,exome [63] exome,sequencing [63] sequencing,kit [63] kit,fully [63] fully,automated [63] automated,seamless [63] seamless,ngs [63] ngs,platform Top Word Pairs in Tweet in G1:
[63] analyse,twistbioscience [63] twistbioscience,whole [63] whole,exome [63] exome,sequencing [63] sequencing,kit [63] kit,fully [63] fully,automated [63] automated,seamless [63] seamless,ngs [63] ngs,platform Top Word Pairs in Tweet in G2:
[11] personalized,medicine [10] #personalizedmedicine,call [7] visit,website [6] learn,more [6] life,science [6] call,today [5] #personalizedmedicine,#genetics [5] #genomics,#medicine [5] #medicine,#healthcare [5] #personalizedmedicine,visit Top Word Pairs in Tweet in G3:
[7] collaborator,astellas [7] astellas,pharma [7] pharma,highlighted [7] highlighted,focus [7] focus,#targetedradiotherapy [7] #targetedradiotherapy,#theranostics [7] gene,therapy [6] actiniumpharma,collaborator [5] join,online [5] online,debate Top Word Pairs in Tweet in G4:
[9] application,#personalizedmedicine [9] showcasing,discoveries [8] discoveries,#webinar [8] #webinar,application [8] #personalizedmedicine,patients [7] #lymphoblastic,#leukemia [6] today,15 [6] 15,00pm [5] 15,00h [5] 00h,cell Top Word Pairs in Tweet in G5:
[18] #digitalhealth,#personalizedmedicine [16] story,behind [16] behind,#dhpsp [16] #dhpsp,creation [16] creation,highlighted [16] highlighted,interview [16] interview,_atanas_ [16] _atanas_,s_jungmann [16] s_jungmann,#digitalhealth [15] dhpsp,story Top Word Pairs in Tweet in G6:
[13] cancer_cell,published [13] published,paper [13] paper,describing [13] describing,aims [13] aims,#tupro [13] #tupro,trial [13] trial,great [13] great,collaboration [13] collaboration,between [13] between,roche Top Word Pairs in Tweet in G7:
[14] additional,#biozhena [14] #biozhena,file [12] #impinv,#vc [10] file,downloads [10] #vc,#obgyn [9] edd,edc [9] #ehealth,#fertilityawareness [9] #fertilityawareness,#femtech [9] #femtech,developer [9] developer,replace Top Word Pairs in Tweet in G8:
[12] breast,cancer [11] molecular,imaging [11] imaging,determines [11] determines,effectiveness [11] effectiveness,novel [11] novel,metastatic [11] metastatic,breast [11] cancer,treatment [11] treatment,according [11] according,research Top Word Pairs in Tweet in G9:
[10] #medicaldecision,age [10] age,#bigdata [7] margo,bernelin [6] call,papers [6] papers,prediction [6] prediction,factor [6] factor,#medicaldecision [6] #bigdata,co [6] co,organized [6] organized,margo Top Word Pairs in Tweet in G10:
[5] tenet,providence [5] providence,health [5] health,giants [5] giants,band [5] band,together [5] together,form [5] form,health [5] health,data [5] data,startup [5] startup,called Top Replied-To in Entire Graph:
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: