The graph represents a network of 1,582 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, 08 April 2022 at 02:45 UTC.
The requested start date was Friday, 08 April 2022 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 126-day, 23-hour, 2-minute period from Wednesday, 01 December 2021 at 00:15 UTC to Wednesday, 06 April 2022 at 23:17 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 : 1582
Unique Edges : 1253
Edges With Duplicates : 4069
Total Edges : 5322
Number of Edge Types : 5
Retweet : 1369
MentionsInRetweet : 2378
Replies to : 51
Mentions : 921
Tweet : 603
Self-Loops : 648
Reciprocated Vertex Pair Ratio : 0.0438842203548086
Reciprocated Edge Ratio : 0.0840787119856887
Connected Components : 260
Single-Vertex Connected Components : 122
Maximum Vertices in a Connected Component : 879
Maximum Edges in a Connected Component : 4231
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.378848
Graph Density : 0.000893991624625871
Modularity : 0.390347
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,582 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, 08 April 2022 at 02:45 UTC.
The requested start date was Friday, 08 April 2022 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 126-day, 23-hour, 2-minute period from Wednesday, 01 December 2021 at 00:15 UTC to Wednesday, 06 April 2022 at 23:17 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:
[206] #digitalhealth,#personalizedmedicine [190] #personalizedmedicine,#patientsafety [159] #publichealth,#datascience [145] #datascience,#digitalhealth [122] #colombia,#ecuador [119] #ecuador,#peru [111] #peru,#bolivia [110] personalized,medicine [102] #bolivia,#venezuela [102] #venezuela,#chile Top Word Pairs in Tweet in G1:
[46] #personalizedmedicine,call [30] visit,website [28] #functionalmedicine,#personalizedmedicine [26] read,more [24] find,more [22] call,today [19] personalized,medicine [18] single,cell [17] #personalizedmedicine,#precisionmedicine [16] genomsys,shares Top Word Pairs in Tweet in G2:
[190] #digitalhealth,#personalizedmedicine [181] #personalizedmedicine,#patientsafety [152] #publichealth,#datascience [140] #datascience,#digitalhealth [117] #colombia,#ecuador [114] #ecuador,#peru [107] #peru,#bolivia [98] #bolivia,#venezuela [98] #venezuela,#chile [94] publichealthbot,#publichealth Top Word Pairs in Tweet in G3:
[43] î,î [20] personalized,medicine [6] #precisionmedicine,#personalizedmedicine [6] î,îµï [5] learn,more [5] îµï,î [4] precision,medicine [4] #personalizedmedicine,#genetics [4] îµ,î [3] î,îµî Top Word Pairs in Tweet in G4:
[31] precision,dosing [27] patient,dosed [27] dosed,minute [27] minute,using [27] using,precision [27] dosing,platform [27] platform,2021 [27] 2021,tripled [27] tripled,number [27] democratized,research Top Word Pairs in Tweet in G5:
[21] personalized,medicine [9] chris,wells [8] genetics,podcast [7] 2021,#personalizedmedicine [7] patrick_j_short,host [7] host,genetics [7] ceo,co [7] co,founder [7] edition,personalized [6] recent,guest Top Word Pairs in Tweet in G6:
[46] #augmentedreality,#ai [46] #ai,#quantumcomputing [41] gave,kred [41] kred,healthtechtalkn [41] healthtechtalkn,kred [41] kred,#influence [41] #influence,#precisionmedicine [41] #precisionmedicine,#personalizedmedicine [41] #personalizedmedicine,#healthtech [41] #healthtech,#medtech Top Word Pairs in Tweet in G7:
[24] psma,617 [24] 617,administered [24] administered,immediately [24] immediately,following [24] following,androgen [24] androgen,deprivation [24] deprivation,therapy [24] therapy,highly [24] highly,effective [23] journalofnucmed,treatment Top Word Pairs in Tweet in G8:
[33] digital,solutions [33] gene,therapy [30] solutions,cellular [30] cellular,gene [30] therapy,#cell [30] #cell,#gene [30] #gene,therapies [30] therapies,part [30] part,#personalizedmedicine [28] irmaraste,digital Top Word Pairs in Tweet in G9:
[36] please,re [36] re,tweet [36] tweet,terrific [36] terrific,infographic [36] infographic,exploring [36] exploring,#personalizedmedicine [36] #personalizedmedicine,#dementia [36] #dementia,image [36] image,3spirituknz [35] lead_coalition,please Top Word Pairs in Tweet in G10:
[26] editor,choice [26] choice,state [26] state,art [26] art,review [26] review,organ [26] organ,chip [26] chip,technology [26] technology,including [26] including,latest [26] latest,#research Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G8:
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: