The graph represents a network of 1,079 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, 16 October 2020 at 02:44 UTC.
The requested start date was Friday, 16 October 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 75-day, 19-hour, 19-minute period from Saturday, 01 August 2020 at 00:46 UTC to Thursday, 15 October 2020 at 20:06 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 : 1079
Unique Edges : 861
Edges With Duplicates : 1781
Total Edges : 2642
Number of Edge Types : 5
MentionsInRetweet : 1143
Replies to : 17
Retweet : 692
Mentions : 474
Tweet : 316
Self-Loops : 327
Reciprocated Vertex Pair Ratio : 0.0427728613569322
Reciprocated Edge Ratio : 0.082036775106082
Connected Components : 193
Single-Vertex Connected Components : 68
Maximum Vertices in a Connected Component : 340
Maximum Edges in a Connected Component : 1197
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.220082
Graph Density : 0.00121565181806146
Modularity : 0.52334
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,079 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, 16 October 2020 at 02:44 UTC.
The requested start date was Friday, 16 October 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 75-day, 19-hour, 19-minute period from Saturday, 01 August 2020 at 00:46 UTC to Thursday, 15 October 2020 at 20:06 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:
[70] personalized,medicine [40] learn,more [36] cutting,edge [35] centres,excellence [34] approves,two [34] two,centres [34] excellence,hpc [34] hpc,applications [34] applications,led [34] led,bsc Top Word Pairs in Tweet in G1:
[14] #ehealth,#femtech [10] overview,biozhena's [10] biozhena's,#ehealth [10] monitoring,help [9] today,launched [9] launched,podcast [9] podcast,amplify [9] amplify,hosted [9] hosted,tinacarmillia [9] tinacarmillia,hearing Top Word Pairs in Tweet in G2:
[7] personalized,medicine [7] learn,more [7] #personalizedmedicine,#compounding [7] #personalizedmedicine,call [6] #compounding,#pharmacy [5] #compoundingpharmacy,#independentpharmacy [5] #independentpharmacy,#personalizedmedicine [5] visit,website [4] health,#personalizedmedicine [4] read,more Top Word Pairs in Tweet in G3:
[18] episode,season [17] #personalizedmedicine,#precisionmedicine [13] finale,episode [12] implementation,patient [12] patient,centric [12] centric,value [12] value,network [12] network,future [11] season,pmedcast [11] #precisionmedicine,#podcast Top Word Pairs in Tweet in G4:
[23] personalized,medicine [13] research,agenda [13] genomic,testing [12] medicine,coalition [9] pmc,president [9] covid,19 [8] patient,centered [8] #personalizedmedicine,pmc [8] #covid19,#personalizedmedicine [7] #patientcentered,research Top Word Pairs in Tweet in G5:
[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 G6:
[22] deadline,submit [22] submit,abstract [22] abstract,special [22] special,interest [22] interest,group [22] group,drug [22] drug,design [22] design,october [22] october,10th [22] 10th,miss Top Word Pairs in Tweet in G7:
[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 G8:
[30] interested,career [30] career,cutting [30] cutting,edge [30] edge,#healthcare [30] #healthcare,limited [30] limited,places [30] places,left [29] personalmedni,interested [28] left,#personalizedmedicine [28] #personalizedmedicine,bsc Top Word Pairs in Tweet in G9:
[16] such,honour [16] honour,doing [16] doing,accintouch [16] accintouch,session [16] session,heart [16] heart,women's [16] women's,health [16] health,friends [16] friends,mentors [15] drmarthagulati,such Top Word Pairs in Tweet in G10:
[11] kind,#personalizedmedicine [11] #personalizedmedicine,#asco20 [11] #asco20,landmark [11] landmark,year [11] year,geriatric [11] geriatric,oncology [11] oncology,latest [11] latest,ascopost [11] ascopost,smith__giri [10] ishwariamd,kind Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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: