The graph represents a network of 1,306 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 March 2022 at 02:45 UTC.
The requested start date was Friday, 18 March 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 105-day, 22-hour, 28-minute period from Wednesday, 01 December 2021 at 00:15 UTC to Wednesday, 16 March 2022 at 22:43 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 : 1306
Unique Edges : 963
Edges With Duplicates : 3065
Total Edges : 4028
Number of Edge Types : 5
Replies to : 38
Mentions : 730
MentionsInRetweet : 1722
Retweet : 1051
Tweet : 487
Self-Loops : 526
Reciprocated Vertex Pair Ratio : 0.0403669724770642
Reciprocated Edge Ratio : 0.0776014109347443
Connected Components : 232
Single-Vertex Connected Components : 108
Maximum Vertices in a Connected Component : 684
Maximum Edges in a Connected Component : 3049
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.449681
Graph Density : 0.000998046153033743
Modularity : 0.401473
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,306 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 March 2022 at 02:45 UTC.
The requested start date was Friday, 18 March 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 105-day, 22-hour, 28-minute period from Wednesday, 01 December 2021 at 00:15 UTC to Wednesday, 16 March 2022 at 22:43 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:
[133] #digitalhealth,#personalizedmedicine [103] #publichealth,#datascience [100] #personalizedmedicine,#patientsafety [100] personalized,medicine [78] #precisionmedicine,#personalizedmedicine [77] #datascience,#digitalhealth [72] publichealthbot,#publichealth [65] #5g,publichealthbot [56] livescience_t,_inpst [53] _inpst,stefaniaarciell Top Word Pairs in Tweet in G1:
[35] #personalizedmedicine,call [23] visit,website [17] call,today [14] personalized,medicine [13] thinking,#personalizedmedicine [13] more,#transformlouisville [12] health,#personalizedmedicine [12] today,find [11] call,visit [11] website,find Top Word Pairs in Tweet in G2:
[43] î,î [17] personalized,medicine [8] #precisionmedicine,#personalizedmedicine [6] î,îµï [5] îµï,î [4] precision,medicine [4] #personalizedmedicine,#genetics [4] îµ,î [3] learn,more [3] î,îµî Top Word Pairs in Tweet in G3:
[125] #digitalhealth,#personalizedmedicine [101] #publichealth,#datascience [99] #personalizedmedicine,#patientsafety [77] #datascience,#digitalhealth [71] publichealthbot,#publichealth [64] #5g,publichealthbot [55] livescience_t,_inpst [52] _inpst,stefaniaarciell [52] stefaniaarciell,#5g [52] #ia,livescience_t 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:
[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] treatment,ac Top Word Pairs in Tweet in G6:
[21] personalized,medicine [9] chris,wells [8] genetics,podcast [7] edition,personalized [7] patrick_j_short,host [7] host,genetics [7] ceo,co [7] co,founder [6] medicine,today [6] recent,guest Top Word Pairs in Tweet in G7:
[17] read,more [15] single,cell [15] cell,analysis [10] gajanans7,single [10] festival,genomics [10] genomics,biodata [10] biodata,#fog2022 [9] #personalizedmedicine,effect [9] effect,#multiomics [9] #multiomics,subtyping Top Word Pairs in Tweet in G8:
[17] #personalizedmedicine,#precisionmedicine [15] 2021,recap [15] genomsys,shares [14] recap,outlook [14] find,more [12] outlook,2022 [12] #precisionmedicine,#squadgoals [11] #genomsys,#genomics [11] shares,2021 [10] #genomics,#mpegg Top Word Pairs in Tweet in G9:
[32] digital,solutions [32] gene,therapy [29] solutions,cellular [29] cellular,gene [29] therapy,#cell [29] #cell,#gene [29] #gene,therapies [29] therapies,part [29] part,#personalizedmedicine [27] irmaraste,digital 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 G3:
Top Replied-To in G8:
Top Replied-To in G9:
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: