The graph represents a network of 1,624 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, 03 June 2022 at 02:22 UTC.
The requested start date was Friday, 03 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 120-day, 12-hour, 33-minute period from Tuesday, 01 February 2022 at 09:08 UTC to Wednesday, 01 June 2022 at 21:41 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 : 1624
Unique Edges : 1460
Edges With Duplicates : 4506
Total Edges : 5966
Number of Edge Types : 5
Mentions : 1084
Tweet : 615
Retweet : 1493
MentionsInRetweet : 2726
Replies to : 48
Self-Loops : 651
Reciprocated Vertex Pair Ratio : 0.0460389879717959
Reciprocated Edge Ratio : 0.0880253766851705
Connected Components : 206
Single-Vertex Connected Components : 91
Maximum Vertices in a Connected Component : 1082
Maximum Edges in a Connected Component : 5103
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.947395
Graph Density : 0.000956842677156273
Modularity : 0.378145
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,624 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, 03 June 2022 at 02:22 UTC.
The requested start date was Friday, 03 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 120-day, 12-hour, 33-minute period from Tuesday, 01 February 2022 at 09:08 UTC to Wednesday, 01 June 2022 at 21:41 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:
[262] #digitalhealth,#personalizedmedicine [259] #personalizedmedicine,#patientsafety [223] #publichealth,#datascience [216] #datascience,#digitalhealth [183] #colombia,#ecuador [180] #ecuador,#peru [156] #patientsafety,sciencecommuni2 [154] #peru,#bolivia [141] #bolivia,#venezuela [139] #venezuela,#chile Top Word Pairs in Tweet in G1:
[249] #digitalhealth,#personalizedmedicine [249] #personalizedmedicine,#patientsafety [214] #publichealth,#datascience [208] #datascience,#digitalhealth [176] #colombia,#ecuador [173] #ecuador,#peru [150] #peru,#bolivia [150] #patientsafety,sciencecommuni2 [137] #bolivia,#venezuela [135] #venezuela,#chile Top Word Pairs in Tweet in G2:
[50] #personalizedmedicine,call [44] personalized,medicine [31] visit,website [27] call,today [20] learn,more [20] today,find [19] thinking,#personalizedmedicine [19] more,#transformlouisville [18] read,more [16] health,#personalizedmedicine Top Word Pairs in Tweet in G3:
[20] personalized,medicine [7] learn,more [3] #ad,#personalizedmedicine [3] #precisionmedicine,#personalizedmedicine [3] #personalizednutrition,#personalizednutrients [3] #personalizednutrients,#personalizedmedicine [3] #personalizedmedicine,#freedomtoformulate [3] #freedomtoformulate,#personalizedhealthcare [3] #customize,#nutritional [3] #nutritional,#healthcareproducts Top Word Pairs in Tweet in G4:
[19] personalized,medicine [11] medicine,conference [10] #fh,#fishawackhealth [9] #personalizedmedicine,conference [8] 3d,bioprinting [7] 16th,annual [7] precision,medicine [7] thanks,permedcoalition [7] #fishawackhealth,#precisionmedicine [6] pmc,president Top Word Pairs in Tweet in G5:
[8] #bioinformatics,#personalizedmedicine [8] first,time [8] personalized,medicine [7] #cancerresearch,#cancergenomics [7] #cancergenomics,#bioinformatics [7] #personalizedmedicine,#dnanalysis [7] colleague,working [7] working,#proteomics [7] #proteomics,#personalizedmedicine [7] #personalizedmedicine,looking 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:
[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] treatment,ac Top Word Pairs in Tweet in G8:
[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 G9:
[11] opinion,piece [8] clinical,research [8] research,studies [8] pnasnews,opinion [7] need,include [7] include,more [7] more,individuals [6] #amr,#personalizedmedicine [6] piece,insufficient [6] insufficient,#geneticdiversity Top Word Pairs in Tweet in G10:
[26] gave,kred [26] kred,healthtechtalkn [26] healthtechtalkn,kred [26] kred,#influence [26] #influence,#precisionmedicine [26] #precisionmedicine,#personalizedmedicine [26] #personalizedmedicine,#healthtech [26] #healthtech,#medtech [18] #iot,#iiot [15] emerging,areas 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:
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:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: