The graph represents a network of 1,354 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, 31 December 2021 at 03:45 UTC.
The requested start date was Friday, 31 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 89-day, 10-hour, 28-minute period from Friday, 01 October 2021 at 08:37 UTC to Wednesday, 29 December 2021 at 19:05 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 : 1354
Unique Edges : 1125
Edges With Duplicates : 2397
Total Edges : 3522
Number of Edge Types : 5
Retweet : 992
MentionsInRetweet : 1593
Tweet : 382
Mentions : 532
Replies to : 23
Self-Loops : 449
Reciprocated Vertex Pair Ratio : 0.0539756239117818
Reciprocated Edge Ratio : 0.102422907488987
Connected Components : 230
Single-Vertex Connected Components : 98
Maximum Vertices in a Connected Component : 511
Maximum Edges in a Connected Component : 1855
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.279482
Graph Density : 0.000991286937174461
Modularity : 0.50057
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,354 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, 31 December 2021 at 03:45 UTC.
The requested start date was Friday, 31 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 89-day, 10-hour, 28-minute period from Friday, 01 October 2021 at 08:37 UTC to Wednesday, 29 December 2021 at 19:05 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 [31] #personalizedmedicine,call [18] visit,website [15] call,today [13] learn,more [11] today,find [10] personalized,medicine [10] wondering,#personalizedmedicine [10] call,visit [10] website,find 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:
[27] digital,health [26] #healthcareai,#smarthit [24] impacts,biomedical [24] biomedical,hashtag [24] hashtag,based [24] based,twitter [24] twitter,campaign [24] campaign,#dhpsp [24] #dhpsp,utilization [24] utilization,promotion Top Word Pairs in Tweet in G5:
[25] digital,solutions [25] solutions,cellular [25] cellular,gene [25] gene,therapy [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 [9] drug,discovery [8] #bioengineering,#drugdesign [8] #drugdesign,#bioinformatics [8] #bioinformatics,researchers [8] researchers,developed [8] developed,machine [8] machine,learning [8] learning,based [8] based,computational Top Word Pairs in Tweet in G7:
[29] science,health [28] #personalizedmedicine,#sfh2021 [28] data,science [18] #datascience,#ai [18] #ai,#bigdata [17] learn,more [17] #event,#personalizedmedicine [16] #bigdata,#healthcare [16] #healthcare,#event [12] november,19 Top Word Pairs in Tweet in G8:
[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 G9:
[7] although,#artificialintelligence [7] #artificialintelligence,#augmentedintelligence [7] #augmentedintelligence,both [7] both,effective [7] effective,enhancing [7] enhancing,quality [7] quality,care [7] care,offer [6] septweets,although [6] offer,differ Top Word Pairs in Tweet in G10:
[10] bostongene,nec_corp [10] nec_corp,formed [10] formed,global [10] global,partnership [10] partnership,aimed [10] aimed,accelerate [10] accelerate,commercialization [10] commercialization,adoption [9] precision,medicine [9] bostongenecorp,bostongene 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:
Top Mentioned in G8:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: