The graph represents a network of 1,385 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, 15 April 2022 at 02:45 UTC.
The requested start date was Friday, 15 April 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 102-day, 17-hour, 30-minute period from Saturday, 01 January 2022 at 03:44 UTC to Wednesday, 13 April 2022 at 21:15 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 : 1385
Unique Edges : 1158
Edges With Duplicates : 3861
Total Edges : 5019
Number of Edge Types : 5
Mentions : 866
Retweet : 1275
MentionsInRetweet : 2307
Replies to : 42
Tweet : 529
Self-Loops : 565
Reciprocated Vertex Pair Ratio : 0.0470647773279352
Reciprocated Edge Ratio : 0.0898985016916385
Connected Components : 203
Single-Vertex Connected Components : 87
Maximum Vertices in a Connected Component : 811
Maximum Edges in a Connected Component : 4099
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.337866
Graph Density : 0.00107938064731537
Modularity : 0.377036
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,385 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, 15 April 2022 at 02:45 UTC.
The requested start date was Friday, 15 April 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 102-day, 17-hour, 30-minute period from Saturday, 01 January 2022 at 03:44 UTC to Wednesday, 13 April 2022 at 21:15 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:
[228] #digitalhealth,#personalizedmedicine [214] #personalizedmedicine,#patientsafety [186] #publichealth,#datascience [170] #datascience,#digitalhealth [146] #colombia,#ecuador [143] #ecuador,#peru [124] #peru,#bolivia [115] #bolivia,#venezuela [113] #venezuela,#chile [112] #patientsafety,sciencecommuni2 Top Word Pairs in Tweet in G1:
[216] #digitalhealth,#personalizedmedicine [205] #personalizedmedicine,#patientsafety [178] #publichealth,#datascience [164] #datascience,#digitalhealth [139] #colombia,#ecuador [136] #ecuador,#peru [120] #peru,#bolivia [111] #bolivia,#venezuela [109] #venezuela,#chile [107] #patientsafety,sciencecommuni2 Top Word Pairs in Tweet in G2:
[37] #personalizedmedicine,call [26] read,more [23] visit,website [21] find,more [18] single,cell [18] call,today [17] personalized,medicine [17] #personalizedmedicine,#precisionmedicine [16] genomsys,shares [15] 2021,recap Top Word Pairs in Tweet in G3:
[16] personalized,medicine [4] learn,more [3] predicine,welcomes [3] global,predicine [3] predicine,family [3] family,#diagnostics [3] #diagnostics,#healthcare [3] #cancerawareness,#personalizedmedicine [3] #genomics,#personalizedmedicine [3] #ad,#personalizedmedicine Top Word Pairs in Tweet in G4:
[50] #augmentedreality,#ai [50] #ai,#quantumcomputing [45] 10,innovative [45] innovative,tech [45] tech,change [45] change,world [45] world,wef [45] wef,#augmentedreality [42] yuhelenyu,10 [42] #quantumcomputing,#personalizedmedici Top Word Pairs in Tweet in G5:
[14] personalized,medicine [12] opinion,piece [9] chris,wells [9] pnasnews,opinion [9] clinical,research [9] research,studies [8] need,include [8] include,more [8] more,individuals [7] ceo,co Top Word Pairs in Tweet in G6:
[24] psma,617 [24] 617,administered [24] administered,immediately [24] immediately,following [24] following,androgen [24] androgen,deprivation [24] deprivation,therapy [24] therapy,highly [24] highly,effective [23] journalofnucmed,treatment Top Word Pairs in Tweet in G7:
[36] please,re [36] re,tweet [36] tweet,terrific [36] terrific,infographic [36] infographic,exploring [36] exploring,#personalizedmedicine [36] #personalizedmedicine,#dementia [36] #dementia,image [36] image,3spirituknz [35] lead_coalition,please Top Word Pairs in Tweet in G8:
[26] editor,choice [26] choice,state [26] state,art [26] art,review [26] review,organ [26] organ,chip [26] chip,technology [26] technology,including [26] including,latest [26] latest,#research Top Word Pairs in Tweet in G9:
[9] festival,genomics [9] genomics,biodata [9] biodata,#fog2022 [7] full,potential [6] great,start [6] start,festival [6] #fog2022,r2 [6] r2,platform [6] platform,co [6] co,zbd1i6lyzg Top Word Pairs in Tweet in G10:
[7] precision,medicine [6] artificial,intelligence [5] featured,inside [5] inside,precision [5] medicine,world [5] world,data [5] data,ai [5] ai,bridging [5] bridging,gap [5] gap,population Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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:
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Top Tweeters in G9:
Top Tweeters in G10: