The graph represents a network of 1,508 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, 05 November 2021 at 02:45 UTC.
The requested start date was Friday, 05 November 2021 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 94-day, 5-hour, 54-minute period from Sunday, 01 August 2021 at 19:24 UTC to Thursday, 04 November 2021 at 01:18 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 : 1508
Unique Edges : 1029
Edges With Duplicates : 3122
Total Edges : 4151
Number of Edge Types : 5
Retweet : 1314
MentionsInRetweet : 1785
Mentions : 535
Tweet : 497
Replies to : 20
Self-Loops : 627
Reciprocated Vertex Pair Ratio : 0.0487664945496271
Reciprocated Edge Ratio : 0.0929978118161926
Connected Components : 260
Single-Vertex Connected Components : 98
Maximum Vertices in a Connected Component : 526
Maximum Edges in a Connected Component : 2336
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.858575
Graph Density : 0.000804380618123382
Modularity : 0.431346
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,508 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, 05 November 2021 at 02:45 UTC.
The requested start date was Friday, 05 November 2021 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 94-day, 5-hour, 54-minute period from Sunday, 01 August 2021 at 19:24 UTC to Thursday, 04 November 2021 at 01:18 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:
[174] #digitalhealth,#personalizedmedicine [160] #healthcareai,#smarthit [159] #imagingai,#artificialintelligence [157] #artificialintelligence,#machinelearning [156] #isaml,#healthcareai [156] #smarthit,#imagingai [150] #personalizedmedicine,#bigdata [147] #redaichat,#isaml [141] #bigdata,#analytics [140] #globalhealth,#meded Top Word Pairs in Tweet in G1:
[122] ai,transforming [122] transforming,healthcare [122] healthcare,those [122] those,changes [122] changes,happening [122] happening,inside [121] drgauravchandra,ai [118] inside,microbiome [118] microbiome,level [113] level,tak Top Word Pairs in Tweet in G2:
[154] #healthcareai,#smarthit [153] #digitalhealth,#personalizedmedicine [152] #imagingai,#artificialintelligence [150] #isaml,#healthcareai [150] #smarthit,#imagingai [149] #artificialintelligence,#machinelearning [141] #redaichat,#isaml [139] #personalizedmedicine,#bigdata [131] #globalhealth,#meded [130] #bigdata,#analytics Top Word Pairs in Tweet in G3:
[29] #personalizedmedicine,call [18] visit,website [16] learn,more [15] call,today [11] personalized,medicine [11] today,find [11] considering,#personalizedmedicine [10] wondering,#personalizedmedicine [9] health,#personalizedmedicine [9] #personalizedmedicine,visit Top Word Pairs in Tweet in G4:
[28] single,cell [22] samir,ounzain [22] ounzain,ispiyou [14] cell,analysis [14] read,more [13] #personalizedmedicine,#precisionmedicine [9] analysis,market [9] more,#research [8] ispiyou,talks [8] talks,movie Top Word Pairs in Tweet in G5:
[81] analyse,twistbioscience [81] twistbioscience,whole [81] whole,exome [81] exome,sequencing [81] sequencing,kit [81] kit,fully [81] fully,automated [81] automated,seamless [81] seamless,ngs [81] ngs,platform Top Word Pairs in Tweet in G6:
[15] top,#healthcare [15] #healthcare,improvements [15] improvements,more [15] more,focus [15] focus,#prevention [15] #prevention,#wholepersoncare [15] #wholepersoncare,#sdoh [15] #sdoh,#nutrition [15] #nutrition,#exercise [14] irmaraste,top Top Word Pairs in Tweet in G7:
[8] thrilled,see [8] see,convo [8] convo,ginakolata [8] ginakolata,nytimes [8] nytimes,therapy [8] therapy,chemo [8] chemo,#lungcancer [8] #lungcancer,reality [7] advances,#personalizedmedicine [7] charuaggarwalmd,thrilled Top Word Pairs in Tweet in G8:
[10] recently,published [10] published,data [10] data,special [10] special,edition [10] edition,molecular [10] molecular,cellular [10] cellular,proteomics [10] proteomics,highlighting [10] highlighting,house [10] house,developed Top Word Pairs in Tweet in G9:
[18] psma,pet [18] pet,ct [18] ct,more [18] more,accurate [18] accurate,conventional [18] conventional,ct [18] ct,detection [18] detection,hepatocellular [18] hepatocellular,carcinoma [18] carcinoma,metastases Top Word Pairs in Tweet in G10:
[22] early,stage [22] stage,researcher [21] tipat,early [20] #tipat,#amr [20] #amr,#personalizedmedicine [14] free,time [8] #personalizedmedicine,mscactions [6] leiden,university [6] university,unileiden [6] scientists,meduni_wien Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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: