The graph represents a network of 1,243 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, 11 March 2022 at 03:45 UTC.
The requested start date was Friday, 11 March 2022 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 98-day, 23-hour, 3-minute period from Wednesday, 01 December 2021 at 00:15 UTC to Wednesday, 09 March 2022 at 23:19 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 : 1243
Unique Edges : 891
Edges With Duplicates : 2841
Total Edges : 3732
Number of Edge Types : 5
Retweet : 983
MentionsInRetweet : 1602
Mentions : 667
Replies to : 37
Tweet : 443
Self-Loops : 480
Reciprocated Vertex Pair Ratio : 0.0400262467191601
Reciprocated Edge Ratio : 0.0769716088328076
Connected Components : 221
Single-Vertex Connected Components : 103
Maximum Vertices in a Connected Component : 649
Maximum Edges in a Connected Component : 2793
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.997459
Graph Density : 0.00102668340452103
Modularity : 0.413028
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,243 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, 11 March 2022 at 03:45 UTC.
The requested start date was Friday, 11 March 2022 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 98-day, 23-hour, 3-minute period from Wednesday, 01 December 2021 at 00:15 UTC to Wednesday, 09 March 2022 at 23:19 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:
[98] #digitalhealth,#personalizedmedicine [97] personalized,medicine [76] #publichealth,#datascience [73] #precisionmedicine,#personalizedmedicine [69] publichealthbot,#publichealth [66] #personalizedmedicine,#patientsafety [62] #5g,publichealthbot [55] livescience_t,_inpst [52] _inpst,stefaniaarciell [52] stefaniaarciell,#5g Top Word Pairs in Tweet in G1:
[43] î,î [15] personalized,medicine [7] #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 G2:
[90] #digitalhealth,#personalizedmedicine [74] #publichealth,#datascience [68] publichealthbot,#publichealth [65] #personalizedmedicine,#patientsafety [61] #5g,publichealthbot [54] livescience_t,_inpst [51] _inpst,stefaniaarciell [51] stefaniaarciell,#5g [51] #ia,livescience_t [49] #datascience,#digitalhealth Top Word Pairs in Tweet in G3:
[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 G4:
[35] #personalizedmedicine,call [21] visit,website [17] call,today [12] thinking,#personalizedmedicine [12] today,find [12] more,#transformlouisville [12] health,#personalizedmedicine [11] call,visit [11] website,find [11] wondering,#personalizedmedicine Top Word Pairs in Tweet in G5:
[21] personalized,medicine [9] chris,wells [8] genetics,podcast [7] edition,personalized [7] 2021,#personalizedmedicine [7] patrick_j_short,host [7] host,genetics [7] ceo,co [7] co,founder [6] medicine,today Top Word Pairs in Tweet in G6:
[14] read,more [10] pmm,volunteer [9] #personalizedmedicine,#precisionmedicine [9] single,cell [9] cell,analysis [9] analysis,market [9] market,projected [9] projected,reach [7] read,article [7] precision,medicine 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] treatment,ac Top Word Pairs in Tweet in G8:
[10] festival,genomics [10] genomics,biodata [10] biodata,#fog2022 [9] #personalizedmedicine,effect [9] effect,#multiomics [9] #multiomics,subtyping [9] subtyping,methods [9] methods,#cancer [9] #cancer,prognosis [9] #bioengineering,#drugdesign Top Word Pairs in Tweet in G9:
[28] digital,solutions [28] gene,therapy [25] solutions,cellular [25] cellular,gene [25] therapy,#cell [25] #cell,#gene [25] #gene,therapies [25] therapies,part [25] part,#personalizedmedicine [24] irmaraste,digital Top Word Pairs in Tweet in G10:
[17] #personalizedmedicine,#precisionmedicine [14] 2021,recap [14] find,more [14] genomsys,shares [13] recap,outlook [12] #precisionmedicine,#squadgoals [11] outlook,2022 [11] #genomsys,#genomics [10] #genomics,#mpegg [10] #dna,#personalizedmedicine Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
Top Replied-To in G10:
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: