The graph represents a network of 1,506 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, 04 March 2022 at 03:45 UTC.
The requested start date was Friday, 04 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 121-day, 15-hour, 18-minute period from Monday, 01 November 2021 at 07:42 UTC to Wednesday, 02 March 2022 at 23:00 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 : 1506
Unique Edges : 1313
Edges With Duplicates : 3213
Total Edges : 4526
Number of Edge Types : 5
Retweet : 1157
MentionsInRetweet : 2009
Tweet : 519
Mentions : 800
Replies to : 41
Self-Loops : 578
Reciprocated Vertex Pair Ratio : 0.0504451038575668
Reciprocated Edge Ratio : 0.096045197740113
Connected Components : 257
Single-Vertex Connected Components : 118
Maximum Vertices in a Connected Component : 745
Maximum Edges in a Connected Component : 3180
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.308673
Graph Density : 0.000937115326071131
Modularity : 0.44994
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,506 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, 04 March 2022 at 03:45 UTC.
The requested start date was Friday, 04 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 121-day, 15-hour, 18-minute period from Monday, 01 November 2021 at 07:42 UTC to Wednesday, 02 March 2022 at 23:00 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:
[92] personalized,medicine [79] #digitalhealth,#personalizedmedicine [77] #precisionmedicine,#personalizedmedicine [54] publichealthbot,#publichealth [51] #publichealth,#datascience [45] #5g,publichealthbot [43] digital,health [43] î,î [42] livescience_t,_inpst [42] #personalizedmedicine,#patientsafety Top Word Pairs in Tweet in G1:
[41] #personalizedmedicine,call [23] visit,website [22] personalized,medicine [21] call,today [16] read,more [15] today,find [14] thinking,#personalizedmedicine [14] more,#transformlouisville [14] wondering,#personalizedmedicine [14] health,#personalizedmedicine Top Word Pairs in Tweet in G2:
[43] î,î [17] personalized,medicine [8] #precisionmedicine,#personalizedmedicine [6] learn,more [6] precision,medicine [6] î,îµï [5] #ad,#personalizedmedicine [5] îµï,î [5] #genesavvy,#getsavvy [4] read,more Top Word Pairs in Tweet in G3:
[68] #digitalhealth,#personalizedmedicine [53] publichealthbot,#publichealth [50] #publichealth,#datascience [44] #5g,publichealthbot [42] digital,health [41] #ia,livescience_t [41] livescience_t,_inpst [39] #personalizedmedicine,#patientsafety [39] _inpst,stefaniaarciell [39] stefaniaarciell,#5g 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:
[18] #personalizedmedicine,#precisionmedicine [17] analyse,twistbioscience [17] twistbioscience,whole [17] whole,exome [17] exome,sequencing [17] sequencing,kit [17] kit,fully [17] fully,automated [17] automated,seamless [17] seamless,ngs Top Word Pairs in Tweet in G6:
[27] digital,solutions [27] gene,therapy [24] solutions,cellular [24] cellular,gene [24] therapy,#cell [24] #cell,#gene [24] #gene,therapies [24] therapies,part [24] part,#personalizedmedicine [23] irmaraste,digital Top Word Pairs in Tweet in G7:
[24] treatment,ac [24] ac,psma [24] psma,617 [24] 617,administered [24] administered,immediately [24] immediately,following [24] following,androgen [24] androgen,deprivation [24] deprivation,therapy [24] therapy,highly Top Word Pairs in Tweet in G8:
[12] read,more [8] #biobanking,provides [8] provides,fundamental [8] fundamental,infrastructure [8] infrastructure,#personalizedmedicine [8] #personalizedmedicine,prevention [8] prevention,diagnostics [8] diagnostics,treatment [8] #personalizedmedicine,#biobanking [7] bbmrieric,#biobanking Top Word Pairs in Tweet in G9:
[10] welcome,ft3 [10] ft3,testing [10] testing,targeted [10] targeted,treatments [10] treatments,program [10] program,collective [10] collective,program [10] program,make [10] make,targeted [10] targeted,#medicine 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:
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Top Replied-To in G5:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: