The graph represents a network of 1,375 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, 25 March 2022 at 02:45 UTC.
The requested start date was Friday, 25 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 113-day, 0-hour, 54-minute period from Wednesday, 01 December 2021 at 00:15 UTC to Thursday, 24 March 2022 at 01:09 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 : 1375
Unique Edges : 1030
Edges With Duplicates : 3330
Total Edges : 4360
Number of Edge Types : 5
Retweet : 1131
MentionsInRetweet : 1872
Replies to : 41
Mentions : 783
Tweet : 533
Self-Loops : 574
Reciprocated Vertex Pair Ratio : 0.0410490307867731
Reciprocated Edge Ratio : 0.0788608981380066
Connected Components : 240
Single-Vertex Connected Components : 111
Maximum Vertices in a Connected Component : 723
Maximum Edges in a Connected Component : 3328
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.396308
Graph Density : 0.000966521106259098
Modularity : 0.394891
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,375 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, 25 March 2022 at 02:45 UTC.
The requested start date was Friday, 25 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 113-day, 0-hour, 54-minute period from Wednesday, 01 December 2021 at 00:15 UTC to Thursday, 24 March 2022 at 01:09 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:
[161] #digitalhealth,#personalizedmedicine [133] #personalizedmedicine,#patientsafety [127] #publichealth,#datascience [104] #datascience,#digitalhealth [101] personalized,medicine [82] #precisionmedicine,#personalizedmedicine [75] publichealthbot,#publichealth [74] #colombia,#ecuador [71] #ecuador,#peru [69] #5g,publichealthbot Top Word Pairs in Tweet in G1:
[40] #personalizedmedicine,call [26] read,more [25] visit,website [21] single,cell [19] call,today [18] personalized,medicine [18] cell,analysis [14] call,visit [14] website,find [13] thinking,#personalizedmedicine Top Word Pairs in Tweet in G2:
[43] î,î [18] personalized,medicine [11] #precisionmedicine,#personalizedmedicine [6] î,îµï [5] îµï,î [5] #personalizedmedicine,#health [4] precision,medicine [4] #personalizedmedicine,#genetics [4] îµ,î [4] read,more Top Word Pairs in Tweet in G3:
[150] #digitalhealth,#personalizedmedicine [131] #personalizedmedicine,#patientsafety [124] #publichealth,#datascience [103] #datascience,#digitalhealth [74] #colombia,#ecuador [74] publichealthbot,#publichealth [71] #ecuador,#peru [68] #5g,publichealthbot [65] #peru,#bolivia [58] #bolivia,#venezuela 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:
[17] #personalizedmedicine,#precisionmedicine [15] genomsys,shares [15] 2021,recap [14] recap,outlook [14] find,more [12] outlook,2022 [12] #precisionmedicine,#squadgoals [11] opinion,piece [11] shares,2021 [11] #genomsys,#genomics Top Word Pairs in Tweet in G6:
[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 G7:
[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 G8:
[9] festival,genomics [9] genomics,biodata [9] biodata,#fog2022 [9] drug,discovery [8] #bioengineering,#drugdesign [8] #drugdesign,#bioinformatics [8] #bioinformatics,researchers [8] researchers,developed [8] developed,machine [8] machine,learning Top Word Pairs in Tweet in G9:
[15] personalized,medicine [7] edition,personalized [6] medicine,today [5] today,shows [5] today,personalized [5] medicine,issue [5] issue,unites [5] unites,industry [5] industry,leaders [5] leaders,provide 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 G5:
Top Replied-To in G7:
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:
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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:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: