The graph represents a network of 1,351 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, 18 February 2022 at 03:45 UTC.
The requested start date was Friday, 18 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 107-day, 19-hour, 51-minute period from Monday, 01 November 2021 at 07:42 UTC to Thursday, 17 February 2022 at 03:33 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 : 1351
Unique Edges : 1164
Edges With Duplicates : 2609
Total Edges : 3773
Number of Edge Types : 5
Retweet : 971
MentionsInRetweet : 1686
Mentions : 625
Replies to : 35
Tweet : 456
Self-Loops : 511
Reciprocated Vertex Pair Ratio : 0.0525414049114792
Reciprocated Edge Ratio : 0.0998372219207813
Connected Components : 251
Single-Vertex Connected Components : 112
Maximum Vertices in a Connected Component : 612
Maximum Edges in a Connected Component : 2409
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.798099
Graph Density : 0.00101049976697645
Modularity : 0.474156
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,351 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, 18 February 2022 at 03:45 UTC.
The requested start date was Friday, 18 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 107-day, 19-hour, 51-minute period from Monday, 01 November 2021 at 07:42 UTC to Thursday, 17 February 2022 at 03:33 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:
[81] personalized,medicine [69] #precisionmedicine,#personalizedmedicine [54] #digitalhealth,#personalizedmedicine [43] î,î [39] digital,health [37] #healthtech,#medtech [36] impacts,biomedical [36] biomedical,hashtag [36] hashtag,based [36] based,twitter Top Word Pairs in Tweet in G1:
[19] personalized,medicine [14] read,more [10] single,cell [10] cell,analysis [10] analysis,market [10] market,projected [10] projected,reach [10] festival,genomics [10] genomics,biodata [10] biodata,#fog2022 Top Word Pairs in Tweet in G2:
[43] î,î [36] #personalizedmedicine,call [22] visit,website [17] personalized,medicine [17] call,today [13] wondering,#personalizedmedicine [12] today,find [12] call,visit [12] website,find [12] health,#personalizedmedicine Top Word Pairs in Tweet in G3:
[30] precision,dosing [27] patient,dosed [27] dosed,minute [27] minute,using [27] using,precision [27] dosing,platform [27] platform,2021 [27] 2021,tripled [27] tripled,number [27] democratized,research Top Word Pairs in Tweet in G4:
[43] #digitalhealth,#personalizedmedicine [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 Top Word Pairs in Tweet in G5:
[17] analyse,twistbioscience [17] twistbioscience,whole [17] whole,exome [17] exome,sequencing [17] sequencing,kit [17] kit,fully [17] fully,automated [17] automated,seamless [17] seamless,ngs [17] ngs,platform Top Word Pairs in Tweet in G6:
[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 G7:
[22] data,science [17] science,health [13] #ai,#bigdata [13] #datascience,#ai [13] health,2021 [11] #bigdata,#healthcare [11] #personalizedmedicine,#sfh2021 [10] november,19 [10] #healthcare,#event [10] #event,#personalizedmedicine Top Word Pairs in Tweet in G8:
[15] clinically,appropriate [15] appropriate,18 [15] 18,fdg [15] fdg,scans [15] scans,women [15] women,cancer [15] cancer,safe [15] safe,withheld [15] withheld,pregnancy [14] journalofnucmed,clinically Top Word Pairs in Tweet in G9:
[34] gave,kred [34] kred,healthtechtalkn [34] healthtechtalkn,kred [34] kred,#influence [34] #influence,#precisionmedicine [34] #precisionmedicine,#personalizedmedicine [34] #personalizedmedicine,#healthtech [34] #healthtech,#medtech [20] eli_krumova,gave [17] #medtech,#health 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:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: