The graph represents a network of 1,225 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, 04 June 2021 at 02:45 UTC.
The requested start date was Friday, 04 June 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 93-day, 23-hour, 20-minute period from Monday, 01 March 2021 at 02:15 UTC to Thursday, 03 June 2021 at 01:36 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 : 1225
Unique Edges : 951
Edges With Duplicates : 2571
Total Edges : 3522
Number of Edge Types : 5
Retweet : 1002
MentionsInRetweet : 1452
Tweet : 587
Mentions : 458
Replies to : 23
Self-Loops : 670
Reciprocated Vertex Pair Ratio : 0.046398891966759
Reciprocated Edge Ratio : 0.0886829913964262
Connected Components : 248
Single-Vertex Connected Components : 108
Maximum Vertices in a Connected Component : 424
Maximum Edges in a Connected Component : 1992
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.024416
Graph Density : 0.0010077364279045
Modularity : 0.425126
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,225 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, 04 June 2021 at 02:45 UTC.
The requested start date was Friday, 04 June 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 93-day, 23-hour, 20-minute period from Monday, 01 March 2021 at 02:15 UTC to Thursday, 03 June 2021 at 01:36 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:
[195] add'l,biozhena [166] #impinv,#vc [165] #precisionmedicine,#digitalmedicine [165] #digitalmedicine,#personalizedmedicine [163] #fertility,#precisionmedicine [162] #vc,#obgyn [158] #ehealth,#impinv [156] biozhena,files [150] #personalizedmedicine,#womenshealth [148] #emergingtech,#fertility Top Word Pairs in Tweet in G1:
[13] personalized,medicine [12] best,approaches [12] approaches,technologies [12] technologies,producing [12] producing,#personalizedmedicine [12] #personalizedmedicine,fight [12] fight,cancer [12] cancer,rare [12] rare,diseases [12] diseases,ebook Top Word Pairs in Tweet in G2:
[86] analyse,twistbioscience [86] twistbioscience,whole [86] whole,exome [86] exome,sequencing [86] sequencing,kit [86] kit,fully [86] fully,automated [86] automated,seamless [86] seamless,ngs [86] ngs,platform Top Word Pairs in Tweet in G3:
[62] please,re [62] re,tweet [62] tweet,terrific [62] terrific,infographic [62] infographic,exploring [62] exploring,#personalizedmedicine [62] #personalizedmedicine,#dementia [62] #dementia,image [62] image,3spirituknz [61] lead_coalition,please Top Word Pairs in Tweet in G4:
[10] awesome,interview [10] interview,jeremyjbarr [10] jeremyjbarr,#bacteriophages [10] #bacteriophages,we_talk_science [10] we_talk_science,phages [10] phages,being [10] being,utilized [10] utilized,solve [10] solve,issues [9] shebaaj,awesome Top Word Pairs in Tweet in G5:
[23] #digitalhealth,#personalizedmedicine [21] story,behind [21] behind,#dhpsp [21] #dhpsp,creation [21] creation,highlighted [21] highlighted,interview [21] interview,_atanas_ [21] _atanas_,s_jungmann [21] s_jungmann,#digitalhealth [20] dhpsp,story Top Word Pairs in Tweet in G6:
[15] anyone,opining [15] opining,biomarkers [15] biomarkers,firm [14] bible,read [14] read,each [14] each,sunday [14] sunday,publication [14] publication,anyone [13] doccatenacci,bible [13] firm,understand Top Word Pairs in Tweet in G7:
[195] add'l,biozhena [166] #impinv,#vc [165] #precisionmedicine,#digitalmedicine [165] #digitalmedicine,#personalizedmedicine [163] #fertility,#precisionmedicine [162] #vc,#obgyn [158] #ehealth,#impinv [156] biozhena,files [149] #personalizedmedicine,#womenshealth [148] #emergingtech,#fertility Top Word Pairs in Tweet in G8:
[13] ensure,#patient [13] #patient,safety [13] safety,brand [13] brand,protection [13] protection,supporting [13] supporting,#personalizedmedicine [13] #personalizedmedicine,segments [13] segments,one [8] video,available [8] available,discover Top Word Pairs in Tweet in G9:
[6] inclusive,research [5] health,care [5] #personalizedmedicine,approaches [4] covid,19 [4] personalized,medicine [3] pmc,today [3] today,study [3] study,assessing [3] assessing,clinical [3] clinical,adoption Top Word Pairs in Tweet in G10:
[10] #gograyinmay,#maygray [10] #maygray,#brain [10] #brain,#braintumor [10] #braintumor,#braincancer [10] #braincancer,#braincancerresearch [10] #braincancerresearch,#braincancerawareness [10] #braincancerawareness,#clinicaltrials [10] #clinicaltrials,#glioma [8] read,full [8] full,story Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G6:
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: