The graph represents a network of 1,149 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, 16 December 2022 at 03:22 UTC.
The requested start date was Friday, 16 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 104-day, 6-hour, 9-minute period from Thursday, 01 September 2022 at 11:17 UTC to Wednesday, 14 December 2022 at 17:27 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 : 1149
Unique Edges : 970
Edges With Duplicates : 2532
Total Edges : 3502
Number of Edge Types : 5
Retweet : 908
MentionsInRetweet : 1427
Mentions : 689
Tweet : 441
Replies to : 37
Self-Loops : 455
Reciprocated Vertex Pair Ratio : 0.0736842105263158
Reciprocated Edge Ratio : 0.137254901960784
Connected Components : 217
Single-Vertex Connected Components : 109
Maximum Vertices in a Connected Component : 650
Maximum Edges in a Connected Component : 2678
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.724362
Graph Density : 0.00115992394537895
Modularity : 0.411655
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,149 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, 16 December 2022 at 03:22 UTC.
The requested start date was Friday, 16 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 104-day, 6-hour, 9-minute period from Thursday, 01 September 2022 at 11:17 UTC to Wednesday, 14 December 2022 at 17:27 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:
[88] #digitalhealth,#personalizedmedicine [78] personalized,medicine [68] publichealthbot,#publichealth [66] #publichealth,#datascience [60] #appstoreexpert,#productsbranding [60] #productsbranding,#googleads [58] #healthcareai,#smarthit [57] #datascience,#digitalhealth [56] #meded,#telemednow [55] #smarthit,#imagingai Top Word Pairs in Tweet in G1:
[8] personalized,medicine [7] #custommedications,#personalizedmedicine [7] #compounding,#custommedications [5] #precisionmedicine,#personalizedmedicine [5] #hormonereplacementtherapy,#hormonereplacement [5] #womenshealthandwellness,#hormonereplacementtherapy [5] #personalizedmedicine,#precisionmedicine [5] #hormonereplacement,#compounding [4] #womenshealth,#womenshealthandwellness [4] #compoundingpharmacy,#wellness Top Word Pairs in Tweet in G2:
[42] #personalizedmedicine,call [37] visit,website [22] learn,more [22] œð,žð [22] call,today [18] website,learn [17] more,#transformlouisville [17] thinking,#personalizedmedicine [17] #personalizedmedicine,visit [16] health,#personalizedmedicine Top Word Pairs in Tweet in G3:
[84] #digitalhealth,#personalizedmedicine [65] publichealthbot,#publichealth [63] #publichealth,#datascience [57] #productsbranding,#googleads [57] #appstoreexpert,#productsbranding [56] #datascience,#digitalhealth [52] #healthcareai,#smarthit [52] #googleads,#influencer [51] #meded,#telemednow [51] #smarthit,#imagingai Top Word Pairs in Tweet in G4:
[9] ferrari,alberta [9] bioaro's,launch [9] met,number [9] event,thankful [9] thank,ferrari [9] number,life [9] hosting,bioaro's [9] launch,event [9] life,saving [9] alberta,hosting 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:
[14] personalized,medicine [10] #personalizedmedicine,#precisionhealth [10] discussed,needed [10] needed,move [10] permedcoalition,conference [10] #precisionhealth,forward [10] move,#personalizedmedicine [10] conference,discussed [9] dramyabernethy,permedcoalition [8] pmc,today Top Word Pairs in Tweet in G7:
[23] drug,target [17] #multiomics,identify [17] #biomarker,drug [17] tweetycami,psychtoday [17] #cancer,#biomarker [17] #ai,#multiomics [17] target,tweetycami [17] identify,#cancer [16] enilev,#ai [16] psychtoday,co Top Word Pairs in Tweet in G8:
[8] primary,aim [8] outcomes,applying [8] #personalizedmedicine,three [8] legacyh2020's,primary [8] applying,#personalizedmedicine [8] cancer,outcomes [8] three,levels [8] gastric,cancer [8] improve,gastric [8] aim,improve Top Word Pairs in Tweet in G9:
[7] #cholangiocarcinoma,greatdebatescme [7] become,mainstream [7] providing,updates [7] #drugdiscovery,#drugdevelopment [7] mainstream,part [7] development,#longevity [7] updates,#cholangiocarcinoma [7] part,drug [7] drug,development [7] right,javlemilind Top Word Pairs in Tweet in G10:
[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 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:
Top Tweeters in G1:
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Top Tweeters in G10: