The graph represents a network of 1,523 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, 14 January 2022 at 03:46 UTC.
The requested start date was Friday, 14 January 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 103-day, 14-hour, 11-minute period from Friday, 01 October 2021 at 08:37 UTC to Wednesday, 12 January 2022 at 22:48 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 : 1523
Unique Edges : 1224
Edges With Duplicates : 2748
Total Edges : 3972
Number of Edge Types : 5
Retweet : 1134
MentionsInRetweet : 1782
Tweet : 437
Mentions : 592
Replies to : 27
Self-Loops : 507
Reciprocated Vertex Pair Ratio : 0.0511627906976744
Reciprocated Edge Ratio : 0.0973451327433628
Connected Components : 249
Single-Vertex Connected Components : 109
Maximum Vertices in a Connected Component : 577
Maximum Edges in a Connected Component : 2087
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.918184
Graph Density : 0.000877478315414197
Modularity : 0.496155
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,523 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, 14 January 2022 at 03:46 UTC.
The requested start date was Friday, 14 January 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 103-day, 14-hour, 11-minute period from Friday, 01 October 2021 at 08:37 UTC to Wednesday, 12 January 2022 at 22:48 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 [35] #personalizedmedicine,call [19] visit,website [17] call,today [14] learn,more [13] today,find [12] thinking,#personalizedmedicine [12] more,#transformlouisville [11] wondering,#personalizedmedicine [11] call,visit Top Word Pairs in Tweet in G3:
[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 G4:
[34] digital,health [31] impacts,biomedical [31] biomedical,hashtag [31] hashtag,based [31] based,twitter [31] twitter,campaign [31] campaign,#dhpsp [31] #dhpsp,utilization [31] utilization,promotion [31] promotion,open Top Word Pairs in Tweet in G5:
[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 G6:
[10] #bioinformatics,#personalizedmedicine [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 Top Word Pairs in Tweet in G7:
[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 G8:
[8] tragically,uneven [8] personalized,medicine [7] advances,#personalizedmedicine [6] pandemic's,tragically [6] uneven,impact [6] latest,article [6] article,permedcoalition [6] permedcoalition,discuss [6] discuss,potential [6] potential,exciting 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:
[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 Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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:
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Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: