The graph represents a network of 1,768 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 February 2022 at 03:46 UTC.
The requested start date was Friday, 04 February 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 124-day, 14-hour, 11-minute period from Friday, 01 October 2021 at 08:37 UTC to Wednesday, 02 February 2022 at 22:49 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 : 1768
Unique Edges : 1388
Edges With Duplicates : 3267
Total Edges : 4655
Number of Edge Types : 5
Retweet : 1330
MentionsInRetweet : 2040
Mentions : 703
Tweet : 549
Replies to : 33
Self-Loops : 624
Reciprocated Vertex Pair Ratio : 0.0512007249660172
Reciprocated Edge Ratio : 0.0974137931034483
Connected Components : 292
Single-Vertex Connected Components : 127
Maximum Vertices in a Connected Component : 670
Maximum Edges in a Connected Component : 2481
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.641858
Graph Density : 0.000742624331958198
Modularity : 0.484425
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,768 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 February 2022 at 03:46 UTC.
The requested start date was Friday, 04 February 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 124-day, 14-hour, 11-minute period from Friday, 01 October 2021 at 08:37 UTC to Wednesday, 02 February 2022 at 22:49 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:
[124] transforming,healthcare [123] ai,transforming [123] healthcare,those [123] those,changes [123] changes,happening [123] happening,inside [121] drgauravchandra,ai [119] inside,microbiome [119] microbiome,level [113] level,tak Top Word Pairs in Tweet in G1:
[46] analyse,twistbioscience [46] twistbioscience,whole [46] whole,exome [46] exome,sequencing [46] sequencing,kit [46] kit,fully [46] fully,automated [46] automated,seamless [46] seamless,ngs [46] ngs,platform Top Word Pairs in Tweet in G2:
[122] ai,transforming [122] transforming,healthcare [122] healthcare,those [122] those,changes [122] changes,happening [122] happening,inside [121] drgauravchandra,ai [118] inside,microbiome [118] microbiome,level [113] level,tak Top Word Pairs in Tweet in G3:
[43] î,î [42] #personalizedmedicine,call [25] visit,website [20] call,today [17] personalized,medicine [15] learn,more [14] wondering,#personalizedmedicine [14] call,visit [14] website,find [14] today,find Top Word Pairs in Tweet in G4:
[14] personalized,medicine [10] tragically,uneven [10] festival,genomics [10] genomics,biodata [10] biodata,#fog2022 [8] genetics,podcast [8] #bioengineering,#drugdesign [8] #drugdesign,#bioinformatics [8] #bioinformatics,researchers [8] researchers,developed Top Word Pairs in Tweet in G5:
[39] digital,health [36] impacts,biomedical [36] biomedical,hashtag [36] hashtag,based [36] based,twitter [36] twitter,campaign [36] campaign,#dhpsp [36] #dhpsp,utilization [36] utilization,promotion [36] promotion,open Top Word Pairs in Tweet in G6:
[31] science,health [29] data,science [28] #personalizedmedicine,#sfh2021 [19] #ai,#bigdata [18] learn,more [18] #datascience,#ai [17] #event,#personalizedmedicine [16] #bigdata,#healthcare [16] #healthcare,#event [13] health,2021 Top Word Pairs in Tweet in G7:
[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 G8:
[22] pet,ct [14] according,research [14] research,published [13] ct,artificial [13] artificial,intelligence [13] intelligence,model [13] model,ideal [13] ideal,predicting [13] predicting,risk [13] risk,future Top Word Pairs in Tweet in G9:
[26] early,stage [26] stage,researcher [25] tipat,early [19] #tipat,#amr [19] #amr,#personalizedmedicine [14] free,time [8] #personalizedmedicine,mscactions [7] researcher,uppsala [7] uppsala,university [7] university,uu_university Top Word Pairs in Tweet in G10:
[8] #personalizedmedicine,#biobanking [7] #biobanking,provides [7] provides,fundamental [7] fundamental,infrastructure [7] infrastructure,#personalizedmedicine [7] #personalizedmedicine,prevention [7] prevention,diagnostics [7] diagnostics,treatment [6] #fh,#bestpractice [6] #bestpractice,#personalizedmedicine Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: