The graph represents a network of 1,219 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, 23 October 2020 at 02:45 UTC.
The requested start date was Friday, 23 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 82-day, 21-hour, 11-minute period from Saturday, 01 August 2020 at 00:46 UTC to Thursday, 22 October 2020 at 21:58 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 : 1219
Unique Edges : 944
Edges With Duplicates : 2004
Total Edges : 2948
Number of Edge Types : 5
Retweet : 785
MentionsInRetweet : 1253
Tweet : 367
Replies to : 22
Mentions : 521
Self-Loops : 381
Reciprocated Vertex Pair Ratio : 0.0471380471380471
Reciprocated Edge Ratio : 0.090032154340836
Connected Components : 221
Single-Vertex Connected Components : 76
Maximum Vertices in a Connected Component : 367
Maximum Edges in a Connected Component : 1301
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.328243
Graph Density : 0.00104732000576531
Modularity : 0.517298
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,219 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, 23 October 2020 at 02:45 UTC.
The requested start date was Friday, 23 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 82-day, 21-hour, 11-minute period from Saturday, 01 August 2020 at 00:46 UTC to Thursday, 22 October 2020 at 21:58 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:
[74] personalized,medicine [42] 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:
[20] #ehealth,#femtech [12] #folliculogenesis,vivo [11] latest,amplify [10] overview,biozhena's [10] biozhena's,#ehealth [10] monitoring,help [10] high,information [10] information,content [10] content,inherent [10] inherent,#folliculogenesis Top Word Pairs in Tweet in G2:
[8] personalized,medicine [8] learn,more [8] #personalizedmedicine,call [7] #personalizedmedicine,#compounding [6] #compounding,#pharmacy [5] read,more [5] #compoundingpharmacy,#independentpharmacy [5] #independentpharmacy,#personalizedmedicine [5] visit,website [5] cancer,treatments Top Word Pairs in Tweet in G3:
[25] personalized,medicine [15] genomic,testing [15] research,agenda [14] medicine,coalition [10] patient,centered [9] pmc,president [9] covid,19 [8] #personalizedmedicine,pmc [8] #covid19,#personalizedmedicine [7] #patientcentered,research Top Word Pairs in Tweet in G4:
[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] #precisionmedicine,#podcast [11] season,pmedcast 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:
[18] investoimme,23mâ [18] 23mâ,ja [18] ja,palkkaamme [18] palkkaamme,22 [18] 22,ihmistã [18] ihmistã,lisã [18] lisã,tampereelle [18] tampereelle,laser [18] laser,perheeseen [18] perheeseen,orsila Top Word Pairs in Tweet in G10:
[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 Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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: