The graph represents a network of 1,445 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 Saturday, 07 November 2020 at 03:49 UTC.
The requested start date was Friday, 06 November 2020 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 96-day, 21-hour, 59-minute period from Saturday, 01 August 2020 at 00:46 UTC to Thursday, 05 November 2020 at 22:46 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 : 1445
Unique Edges : 1070
Edges With Duplicates : 2420
Total Edges : 3490
Number of Edge Types : 5
Tweet : 436
Retweet : 969
MentionsInRetweet : 1476
Mentions : 585
Replies to : 24
Self-Loops : 452
Reciprocated Vertex Pair Ratio : 0.0473714615829001
Reciprocated Edge Ratio : 0.090457804743519
Connected Components : 254
Single-Vertex Connected Components : 88
Maximum Vertices in a Connected Component : 495
Maximum Edges in a Connected Component : 1658
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.399591
Graph Density : 0.000868885928169541
Modularity : 0.509966
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,445 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 Saturday, 07 November 2020 at 03:49 UTC.
The requested start date was Friday, 06 November 2020 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 96-day, 21-hour, 59-minute period from Saturday, 01 August 2020 at 00:46 UTC to Thursday, 05 November 2020 at 22:46 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:
[78] personalized,medicine [76] collaborative,research [76] research,aiming [76] aiming,twitter [76] twitter,based [76] based,manuscript [76] manuscript,preparation [75] _atanas_,collaborative [74] preparation,#digitalhealth [72] #digitalhealth,#personalized Top Word Pairs in Tweet in G1:
[27] #ehealth,#femtech [16] #folliculogenesis,vivo [14] high,information [14] information,content [14] content,inherent [14] inherent,#folliculogenesis [14] cyclic,profile [14] profile,#ehealth [11] vivo,cyclic [10] read,more Top Word Pairs in Tweet in G2:
[11] personalized,medicine [9] #personalizedmedicine,call [7] learn,more [7] #personalizedmedicine,#compounding [6] read,more [6] #compounding,#pharmacy [6] visit,website [5] #compoundingpharmacy,#independentpharmacy [5] #independentpharmacy,#personalizedmedicine [5] call,today Top Word Pairs in Tweet in G3:
[75] collaborative,research [75] research,aiming [75] aiming,twitter [75] twitter,based [75] based,manuscript [75] manuscript,preparation [74] _atanas_,collaborative [73] preparation,#digitalhealth [71] #digitalhealth,#personalized [18] introductory,overview Top Word Pairs in Tweet in G4:
[21] personalized,medicine [16] genomic,testing [10] pmc,president [10] research,agenda [9] medicine,coalition [9] covid,19 [8] #personalizedmedicine,pmc [8] #covid19,#personalizedmedicine [7] virtual,discussion [7] #patientcentered,research Top Word Pairs in Tweet in G5:
[21] episode,season [18] #personalizedmedicine,#precisionmedicine [16] season,pmedcast [13] finale,episode [12] #precisionmedicine,#podcast [12] implementation,patient [12] patient,centric [12] centric,value [12] value,network [12] network,future Top Word Pairs in Tweet in G6:
[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 G7:
[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 G8:
[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 Word Pairs in Tweet in G9:
[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 G10:
[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 Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G4:
Top Mentioned in G5:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G10: