The graph represents a network of 1,297 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, 24 December 2021 at 03:45 UTC.
The requested start date was Friday, 24 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 79-day, 18-hour, 54-minute period from Friday, 01 October 2021 at 08:37 UTC to Monday, 20 December 2021 at 03:31 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 : 1297
Unique Edges : 1088
Edges With Duplicates : 2279
Total Edges : 3367
Number of Edge Types : 5
Mentions : 510
Tweet : 355
Retweet : 943
MentionsInRetweet : 1538
Replies to : 21
Self-Loops : 418
Reciprocated Vertex Pair Ratio : 0.0511739915713426
Reciprocated Edge Ratio : 0.0973654066437572
Connected Components : 222
Single-Vertex Connected Components : 92
Maximum Vertices in a Connected Component : 487
Maximum Edges in a Connected Component : 1770
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.503706
Graph Density : 0.00103872183671721
Modularity : 0.504713
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,297 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, 24 December 2021 at 03:45 UTC.
The requested start date was Friday, 24 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 79-day, 18-hour, 54-minute period from Friday, 01 October 2021 at 08:37 UTC to Monday, 20 December 2021 at 03:31 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 [27] #personalizedmedicine,call [17] visit,website [14] learn,more [13] call,today [10] today,find [9] personalized,medicine [9] call,visit [9] website,find [9] wondering,#personalizedmedicine Top Word Pairs in Tweet in G3:
[26] #healthcareai,#smarthit [23] digital,health [21] #redaichat,#isaml [21] #isaml,#healthcareai [20] impacts,biomedical [20] biomedical,hashtag [20] hashtag,based [20] based,twitter [20] twitter,campaign [20] campaign,#dhpsp Top Word Pairs in Tweet in G4:
[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 G5:
[24] digital,solutions [24] solutions,cellular [24] cellular,gene [24] gene,therapy [24] therapy,#cell [24] #cell,#gene [24] #gene,therapies [24] therapies,part [24] part,#personalizedmedicine [23] irmaraste,digital Top Word Pairs in Tweet in G6:
[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 G7:
[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 [8] computational,method 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:
[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 [6] #personalizedmedicine,icpermed 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: