The graph represents a network of 1,260 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, 17 December 2021 at 03:45 UTC.
The requested start date was Friday, 17 December 2021 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 75-day, 15-hour, 10-minute period from Friday, 01 October 2021 at 08:37 UTC to Wednesday, 15 December 2021 at 23:48 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 : 1260
Unique Edges : 1050
Edges With Duplicates : 2205
Total Edges : 3255
Number of Edge Types : 5
Mentions : 494
Tweet : 340
Retweet : 913
MentionsInRetweet : 1488
Replies to : 20
Self-Loops : 403
Reciprocated Vertex Pair Ratio : 0.0516490354698195
Reciprocated Edge Ratio : 0.0982248520710059
Connected Components : 218
Single-Vertex Connected Components : 87
Maximum Vertices in a Connected Component : 401
Maximum Edges in a Connected Component : 1512
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.912356
Graph Density : 0.00106534538623498
Modularity : 0.505388
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,260 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, 17 December 2021 at 03:45 UTC.
The requested start date was Friday, 17 December 2021 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 75-day, 15-hour, 10-minute period from Friday, 01 October 2021 at 08:37 UTC to Wednesday, 15 December 2021 at 23:48 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:
[123] ai,transforming [123] transforming,healthcare [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:
[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 G2:
[43] î,î [26] #personalizedmedicine,call [15] visit,website [13] learn,more [13] call,today [10] today,find [9] wondering,#personalizedmedicine [8] personalized,medicine [8] call,visit [8] website,find Top Word Pairs in Tweet in G3:
[23] #healthcareai,#smarthit [21] digital,health [18] impacts,biomedical [18] biomedical,hashtag [18] hashtag,based [18] based,twitter [18] twitter,campaign [18] campaign,#dhpsp [18] #dhpsp,utilization [18] utilization,promotion Top Word Pairs in Tweet in G4:
[21] digital,solutions [21] solutions,cellular [21] cellular,gene [21] gene,therapy [21] therapy,#cell [21] #cell,#gene [21] #gene,therapies [21] therapies,part [21] part,#personalizedmedicine [21] jbarbosapr,enricomolinari Top Word Pairs in Tweet in G5:
[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 G6:
[31] science,health [28] #personalizedmedicine,#sfh2021 [28] data,science [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:
[7] advances,#personalizedmedicine [6] pandemic's,tragically [6] tragically,uneven [6] uneven,impact [6] latest,article [6] article,permedcoalition [6] permedcoalition,discuss [6] discuss,potential [6] potential,exciting [6] exciting,advances Top Word Pairs in Tweet in G8:
[8] #bioengineering,#drugdesign [8] #drugdesign,#bioinformatics [8] #bioinformatics,researchers [8] researchers,developed [8] developed,machine [8] machine,learning [8] learning,based [8] based,computational [8] computational,method [7] founders,ochrebio Top Word Pairs in Tweet in G9:
[8] #biobanking,provides [8] provides,fundamental [8] fundamental,infrastructure [8] infrastructure,#personalizedmedicine [8] #personalizedmedicine,prevention [8] prevention,diagnostics [8] diagnostics,treatment [7] bbmrieric,#biobanking [6] #fh,#bestpractice [6] #bestpractice,#personalizedmedicine Top Word Pairs in Tweet in G10:
[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 Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
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: