The graph represents a network of 1,386 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, 09 December 2022 at 03:22 UTC.
The requested start date was Friday, 09 December 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 128-day, 22-hour, 45-minute period from Monday, 01 August 2022 at 02:34 UTC to Thursday, 08 December 2022 at 01:19 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 : 1386
Unique Edges : 1137
Edges With Duplicates : 3437
Total Edges : 4574
Number of Edge Types : 5
Mentions : 845
Retweet : 1225
MentionsInRetweet : 1913
Tweet : 548
Replies to : 43
Self-Loops : 566
Reciprocated Vertex Pair Ratio : 0.0681945220793739
Reciprocated Edge Ratio : 0.127681841967556
Connected Components : 229
Single-Vertex Connected Components : 114
Maximum Vertices in a Connected Component : 822
Maximum Edges in a Connected Component : 3616
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.436329
Graph Density : 0.000995514713926266
Modularity : 0.383993
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,386 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, 09 December 2022 at 03:22 UTC.
The requested start date was Friday, 09 December 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 128-day, 22-hour, 45-minute period from Monday, 01 August 2022 at 02:34 UTC to Thursday, 08 December 2022 at 01:19 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:
[139] #digitalhealth,#personalizedmedicine [90] #meded,#telemednow [85] personalized,medicine [85] #telemednow,#capchat [82] #personalizedmedicine,#patientsafety [78] #healthcareai,#smarthit [78] #smarthit,#imagingai [76] #personalizedmedicine,#bigdata [74] #globalhealth,#meded [73] #artificialintelligence,#machinelearning Top Word Pairs in Tweet in G1:
[135] #digitalhealth,#personalizedmedicine [85] #meded,#telemednow [82] #personalizedmedicine,#patientsafety [80] #telemednow,#capchat [75] #smarthit,#imagingai [75] #healthcareai,#smarthit [73] publichealthbot,#publichealth [72] #personalizedmedicine,#bigdata [71] #publichealth,#datascience [70] #globalhealth,#meded Top Word Pairs in Tweet in G2:
[11] personalized,medicine [7] #precisionmedicine,#personalizedmedicine [5] #custommedications,#personalizedmedicine [5] #compounding,#custommedications [4] #hormonereplacementtherapy,#hormonereplacement [4] learn,more [4] #womenshealthandwellness,#hormonereplacementtherapy [4] #personalizedmedicine,#precisionmedicine [4] #hormonereplacement,#compounding [3] #womenshealth,#womenshealthandwellness Top Word Pairs in Tweet in G3:
[12] read,more [9] alberta,hosting [9] number,life [9] 25,2022 [9] event,thankful [9] hosting,bioaro's [9] life,saving [9] 24,25 [9] personalized,medicine [9] met,number Top Word Pairs in Tweet in G4:
[11] personalized,medicine [10] #precisionhealth,forward [10] discussed,needed [10] permedcoalition,conference [10] move,#personalizedmedicine [10] needed,move [10] conference,discussed [10] #personalizedmedicine,#precisionhealth [10] pmc,today [9] dramyabernethy,permedcoalition Top Word Pairs in Tweet in G5:
[26] psma,imaging [21] profkherrmann,drmhofman [21] #prostatecancer,profkherrmann [21] elila74,stefanofanti4 [21] metastatic,#prostatecancer [21] role,psma [21] drmhofman,elila74 [21] imaging,metastatic [20] journalofnucmed,role [14] radiopharmaceutical,therapy Top Word Pairs in Tweet in G6:
[9] dr,julie [9] ceo,dr [9] julie,rosser [7] javlemilind,mdandersonnews [7] mdandersonnews,providing [7] updates,#cholangiocarcinoma [7] right,javlemilind [7] #cholangiocarcinoma,greatdebatescme [7] greatdebatescme,#gdugi2022 [7] providing,updates Top Word Pairs in Tweet in G7:
[22] drug,target [16] #multiomics,identify [16] #biomarker,drug [16] tweetycami,psychtoday [16] #cancer,#biomarker [16] #ai,#multiomics [16] target,tweetycami [16] psychtoday,co [16] identify,#cancer [15] enilev,#ai Top Word Pairs in Tweet in G8:
[15] special,issue [14] issue,introduces [12] thehdsr,special [8] introduces,personalized [8] fascinating,paper [8] paper,issue [8] science,scientific [8] data,science [8] investigation,individual [8] personalized,data Top Word Pairs in Tweet in G9:
[3] genetic,profile [3] awareness,month [3] month,pm [3] #personalizedmedicine,awareness [3] guide,decisions [3] pm,uses [3] november,#personalizedmedicine [3] decisions,made [3] profile,guide [3] individual's,genetic Top Word Pairs in Tweet in G10:
[6] œtowards,broadly [6] join,webinar [6] approaches,#personalizedmedicineâ [6] standards,silico [6] #personalizedmedicineâ,co [6] applicable,standards [6] broadly,applicable [6] genomic,data [6] silico,approaches [6] webinar,œtowards Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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