The graph represents a network of 1,367 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, 10 June 2022 at 02:22 UTC.
The requested start date was Friday, 10 June 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 99-day, 10-hour, 7-minute period from Tuesday, 01 March 2022 at 13:57 UTC to Thursday, 09 June 2022 at 00:04 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 : 1367
Unique Edges : 1277
Edges With Duplicates : 3400
Total Edges : 4677
Number of Edge Types : 5
Retweet : 1171
MentionsInRetweet : 2088
Tweet : 512
Mentions : 874
Replies to : 32
Self-Loops : 532
Reciprocated Vertex Pair Ratio : 0.0488778054862843
Reciprocated Edge Ratio : 0.0932001902044698
Connected Components : 185
Single-Vertex Connected Components : 85
Maximum Vertices in a Connected Component : 882
Maximum Edges in a Connected Component : 3917
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.873886
Graph Density : 0.00112621176208495
Modularity : 0.400738
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,367 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, 10 June 2022 at 02:22 UTC.
The requested start date was Friday, 10 June 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 99-day, 10-hour, 7-minute period from Tuesday, 01 March 2022 at 13:57 UTC to Thursday, 09 June 2022 at 00:04 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:
[229] #personalizedmedicine,#patientsafety [220] #digitalhealth,#personalizedmedicine [191] #datascience,#digitalhealth [178] #publichealth,#datascience [178] #colombia,#ecuador [175] #ecuador,#peru [149] #peru,#bolivia [137] #bolivia,#venezuela [135] #venezuela,#chile [132] #patientsafety,sciencecommuni2 Top Word Pairs in Tweet in G1:
[219] #personalizedmedicine,#patientsafety [208] #digitalhealth,#personalizedmedicine [182] #datascience,#digitalhealth [171] #colombia,#ecuador [168] #publichealth,#datascience [168] #ecuador,#peru [145] #peru,#bolivia [133] #bolivia,#venezuela [131] #venezuela,#chile [126] #patientsafety,sciencecommuni2 Top Word Pairs in Tweet in G2:
[47] #personalizedmedicine,call [38] personalized,medicine [28] visit,website [26] call,today [20] today,find [17] wondering,#personalizedmedicine [17] thinking,#personalizedmedicine [17] more,#transformlouisville [16] call,visit [16] website,find Top Word Pairs in Tweet in G3:
[16] personalized,medicine [6] learn,more [4] #precisionmedicine,#personalizedmedicine [3] patients,#personalizedmedicine [3] next,generation [3] generation,sequencing [3] more,#personalizedmedicine [3] precision,medicine [3] research,tools [3] #personalizedmedicine,#precisionmedicine Top Word Pairs in Tweet in G4:
[21] #antibodydiscovery,#bioinformatics [21] #bioinformatics,#omics [21] #omics,#biotherapeutics [18] magicienderiga,ipa [13] #personalizedmedicine,#ai [12] ipa,biostrandbv [12] #biotherapeutics,#biotechnology [12] #biotechnology,#omics [10] contribute,important [10] important,work Top Word Pairs in Tweet in G5:
[19] personalized,medicine [12] medicine,conference [10] #fh,#fishawackhealth [9] #personalizedmedicine,conference [9] 3d,bioprinting [7] 16th,annual [7] thanks,permedcoalition [7] #fishawackhealth,#precisionmedicine [6] 28,#personalizedmedicine [6] #personalizedmedicine,caucus Top Word Pairs in Tweet in G6:
[52] #augmentedreality,#ai [52] #ai,#quantumcomputing [47] 10,innovative [47] innovative,tech [47] tech,change [47] change,world [47] world,wef [47] wef,#augmentedreality [44] yuhelenyu,10 [44] #quantumcomputing,#personalizedmedici 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:
[15] emerging,areas [15] areas,#cardiology [15] #cardiology,including [13] gave,kred [13] kred,healthtechtalkn [13] healthtechtalkn,kred [13] kred,#influence [13] #influence,#precisionmedicine [13] #precisionmedicine,#personalizedmedicine [13] #personalizedmedicine,#healthtech Top Word Pairs in Tweet in G9:
[12] opinion,piece [9] pnasnews,opinion [9] clinical,research [9] research,studies [8] need,include [8] include,more [8] more,individuals [7] piece,insufficient [7] insufficient,#geneticdiversity [7] #geneticdiversity,clinical Top Word Pairs in Tweet in G10:
[6] #amr,#personalizedmedicine [4] training,provided [4] provided,unique [4] unique,cross [4] cross,disciplinary [4] disciplinary,team [4] team,academic [4] academic,experts [4] experts,hospitals [4] hospitals,startups Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G4:
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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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: