The graph represents a network of 1,535 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, 24 June 2022 at 02:23 UTC.
The requested start date was Friday, 24 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 113-day, 9-hour, 31-minute period from Tuesday, 01 March 2022 at 13:57 UTC to Wednesday, 22 June 2022 at 23:28 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 : 1535
Unique Edges : 1390
Edges With Duplicates : 3984
Total Edges : 5374
Number of Edge Types : 5
Retweet : 1375
MentionsInRetweet : 2378
Mentions : 1020
Replies to : 34
Tweet : 567
Self-Loops : 589
Reciprocated Vertex Pair Ratio : 0.048758865248227
Reciprocated Edge Ratio : 0.0929839391377853
Connected Components : 192
Single-Vertex Connected Components : 89
Maximum Vertices in a Connected Component : 1044
Maximum Edges in a Connected Component : 4613
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.886235
Graph Density : 0.00100480318003644
Modularity : 0.390576
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,535 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, 24 June 2022 at 02:23 UTC.
The requested start date was Friday, 24 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 113-day, 9-hour, 31-minute period from Tuesday, 01 March 2022 at 13:57 UTC to Wednesday, 22 June 2022 at 23:28 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:
[261] #digitalhealth,#personalizedmedicine [258] #personalizedmedicine,#patientsafety [234] #datascience,#digitalhealth [220] #publichealth,#datascience [199] #colombia,#ecuador [196] #ecuador,#peru [168] #peru,#bolivia [155] #patientsafety,sciencecommuni2 [153] #bolivia,#venezuela [150] #venezuela,#chile Top Word Pairs in Tweet in G1:
[56] #personalizedmedicine,call [47] personalized,medicine [36] visit,website [30] call,today [23] many,healthcare [23] healthcare,organizations [23] organizations,talk [23] talk,focused [23] focused,overcoming [23] overcoming,barriers Top Word Pairs in Tweet in G2:
[247] #personalizedmedicine,#patientsafety [245] #digitalhealth,#personalizedmedicine [222] #datascience,#digitalhealth [207] #publichealth,#datascience [191] #colombia,#ecuador [188] #ecuador,#peru [164] #peru,#bolivia [149] #patientsafety,sciencecommuni2 [149] #bolivia,#venezuela [146] #venezuela,#chile Top Word Pairs in Tweet in G3:
[17] personalized,medicine [6] learn,more [5] #personalizedmedicine,#precisionmedicine [4] #precisionmedicine,#personalizedmedicine [4] next,generation [4] research,tools [3] patients,#personalizedmedicine [3] generation,sequencing [3] more,#personalizedmedicine [3] precision,medicine 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 [9] contribute,important [9] important,work Top Word Pairs in Tweet in G5:
[20] personalized,medicine [12] medicine,conference [10] #fh,#fishawackhealth [9] gene,therapies [9] #personalizedmedicine,conference [9] 3d,bioprinting [7] 16th,annual [7] thanks,permedcoalition [7] #fishawackhealth,#precisionmedicine [6] 28,#personalizedmedicine 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:
[11] opinion,piece [8] clinical,research [8] research,studies [8] pnasnews,opinion [7] need,include [7] include,more [7] more,individuals [6] piece,insufficient [6] insufficient,#geneticdiversity [6] #geneticdiversity,clinical Top Word Pairs in Tweet in G9:
[21] know,lower [21] lower,activity [21] activity,need [21] need,know [21] know,much [21] much,higher [21] higher,go [20] journalofnucmed,know [20] go,#p [6] #snmmi,abstract Top Word Pairs in Tweet in G10:
[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 Replied-To in Entire Graph:
Top Replied-To in G2:
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: