The graph represents a network of 1,061 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, 18 September 2020 at 02:44 UTC.
The requested start date was Friday, 18 September 2020 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 78-day, 14-hour, 19-minute period from Wednesday, 01 July 2020 at 07:52 UTC to Thursday, 17 September 2020 at 22:11 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 : 1061
Unique Edges : 861
Edges With Duplicates : 1562
Total Edges : 2423
Number of Edge Types : 5
Tweet : 293
MentionsInRetweet : 1003
Mentions : 489
Retweet : 611
Replies to : 27
Self-Loops : 302
Reciprocated Vertex Pair Ratio : 0.0389197776012708
Reciprocated Edge Ratio : 0.0749235474006116
Connected Components : 223
Single-Vertex Connected Components : 92
Maximum Vertices in a Connected Component : 303
Maximum Edges in a Connected Component : 1015
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.2796
Graph Density : 0.00116301815659844
Modularity : 0.536326
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 1,061 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, 18 September 2020 at 02:44 UTC.
The requested start date was Friday, 18 September 2020 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 78-day, 14-hour, 19-minute period from Wednesday, 01 July 2020 at 07:52 UTC to Thursday, 17 September 2020 at 22:11 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:
[93] personalized,medicine [52] read,more [42] cutting,edge [41] learn,more [35] centres,excellence [34] approves,two [34] two,centres [34] excellence,hpc [34] hpc,applications [34] applications,led Top Word Pairs in Tweet in G1:
[11] ai,eliminate [11] eliminate,chronic [11] chronic,disease [11] disease,help [11] help,iot [11] iot,#personalizedmedicine [11] #personalizedmedicine,viome [11] viome,thinks [11] thinks,eradication [11] eradication,possible Top Word Pairs in Tweet in G2:
[24] personalized,medicine [13] genomic,testing [13] covid,19 [10] ai,eliminate [10] eliminate,chronic [10] chronic,disease [10] disease,help [10] help,iot [10] iot,#personalizedmedicine [10] #personalizedmedicine,viome Top Word Pairs in Tweet in G3:
[15] episode,season [12] implementation,patient [12] patient,centric [12] centric,value [12] value,network [12] network,future [12] #personalizedmedicine,#precisionmedicine [11] finale,episode [10] #pharma,#biotech [9] help,implementation Top Word Pairs in Tweet in G4:
[33] eu_commission,approves [33] centres,excellence [32] approves,two [32] two,centres [32] excellence,hpc [32] hpc,applications [32] applications,led [32] led,bsc [32] bsc,specialized [31] bsc_cns,eu_commission Top Word Pairs in Tweet in G5:
[10] kind,#personalizedmedicine [10] #personalizedmedicine,#asco20 [10] #asco20,landmark [10] landmark,year [10] year,geriatric [10] geriatric,oncology [10] oncology,latest [10] latest,ascopost [10] ascopost,smith__giri [9] ishwariamd,kind Top Word Pairs in Tweet in G6:
[21] please,re [21] re,tweet [21] tweet,terrific [21] terrific,infographic [21] infographic,exploring [21] exploring,#personalizedmedicine [21] #personalizedmedicine,#dementia [21] #dementia,image [21] image,3spirituknz [20] lead_coalition,please Top Word Pairs in Tweet in G7:
[29] interested,career [29] career,cutting [29] cutting,edge [29] edge,#healthcare [29] #healthcare,limited [29] limited,places [29] places,left [28] personalmedni,interested [27] left,#personalizedmedicine [27] #personalizedmedicine,bsc Top Word Pairs in Tweet in G8:
[14] looking,interesting [14] interesting,place [14] place,doctoral [14] doctoral,#machinelearning [14] #machinelearning,#personalizedmedicine [14] #personalizedmedicine,beautiful [14] beautiful,#sevilla [13] xdopazo,looking [9] #oncology,#machinelearning [9] #machinelearning,researchers Top Word Pairs in Tweet in G9:
[4] #folliculogenesis,vivo [3] #ehealth,#menstrualcycle [3] #menstrualcycle,monitor [3] monitor,bring [3] bring,#personalizedmedicine [3] #personalizedmedicine,insight [3] insight,#obgyn [3] #obgyn,clinical [3] clinical,trials [3] trials,#pcos Top Word Pairs in Tweet in G10:
[20] researchers,jncasr [20] jncasr,developed [20] developed,diagnostic [20] diagnostic,#lungcancer [20] #lungcancer,detect [20] detect,disease [20] disease,early [20] early,stage [20] stage,paving [20] paving,way Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
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: