The graph represents a network of 1,088 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 April 2020 at 02:47 UTC.
The requested start date was Friday, 03 April 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 61-day, 13-hour, 7-minute period from Saturday, 01 February 2020 at 02:34 UTC to Thursday, 02 April 2020 at 15:41 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 : 1088
Unique Edges : 1313
Edges With Duplicates : 405
Total Edges : 1718
Number of Edge Types : 4
Tweet : 293
Mentions : 407
MentionsInRetweet : 996
Replies to : 22
Self-Loops : 293
Reciprocated Vertex Pair Ratio : 0.05
Reciprocated Edge Ratio : 0.0952380952380952
Connected Components : 214
Single-Vertex Connected Components : 92
Maximum Vertices in a Connected Component : 320
Maximum Edges in a Connected Component : 732
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.377434
Graph Density : 0.00106539856052817
Modularity : 0.715619
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 1,088 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 April 2020 at 02:47 UTC.
The requested start date was Friday, 03 April 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 61-day, 13-hour, 7-minute period from Saturday, 01 February 2020 at 02:34 UTC to Thursday, 02 April 2020 at 15:41 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:
[77] personalized,medicine [55] health,care [52] #personalizedmedicine,detect [52] detect,rare [52] rare,diseases [52] diseases,early [52] early,customize [52] customize,medical [52] medical,treatment [52] treatment,cut Top Word Pairs in Tweet in G1:
[17] personalized,medicine [15] learn,conduct [14] learn,more [13] conduct,#moleculartumorboards [13] #moleculartumorboards,listen [13] listen,multidisciplinary [13] multidisciplinary,panel [13] panel,discuss [13] discuss,patient [13] patient,cases Top Word Pairs in Tweet in G2:
[14] personalized,medicine [6] #personalizedmedicine,call [5] visit,website [4] #precisionmedicine,#personalizedmedicine [4] #changeyourenvironment,#bioenergy [4] #bioenergy,#biohacker [4] #biohacker,#personalizedmedicine [3] #personalizedmedicine,#pharmacogenomics [3] #personalizedmedicine,#digitalhealth [3] #medicine,#personalizedmedicine Top Word Pairs in Tweet in G3:
[30] analyse,twistbioscience [30] twistbioscience,whole [30] whole,exome [30] exome,sequencing [30] sequencing,kit [30] kit,fully [30] fully,automated [30] automated,seamless [30] seamless,ngs [30] ngs,platform Top Word Pairs in Tweet in G4:
[52] #personalizedmedicine,detect [52] detect,rare [52] rare,diseases [52] diseases,early [52] early,customize [52] customize,medical [52] medical,treatment [52] treatment,cut [52] cut,health [52] health,care Top Word Pairs in Tweet in G5:
[50] more,micro [50] micro,scale [50] scale,experts [50] experts,believe [50] believe,people [50] people,soon [50] soon,use [50] use,wearable [50] wearable,data [50] data,tell Top Word Pairs in Tweet in G6:
[41] one,size [41] size,fits [28] #vaccines,sold [28] sold,one [28] fits,know [28] know,drug [28] drug,works [28] works,safe [28] safe,people [28] people,time Top Word Pairs in Tweet in G7:
[10] listening,audiobook [10] audiobook,version [10] version,erictopol's [10] erictopol's,#deepmedicine [10] #deepmedicine,way [10] way,work [10] work,days [10] days,very [10] very,inspiring [9] kmborgwardt,listening Top Word Pairs in Tweet in G8:
[9] #personalizedmedicine,technologies [8] panel,pmc [8] pmc,pm [8] pm,caucus [8] caucus,briefing [8] briefing,#personalizedmedicine [8] technologies,improve [8] improve,care [8] care,make [8] congressional,#personalizedmedicine Top Word Pairs in Tweet in G9:
[17] #prostatecancer,#pcsm [17] #gu20,oncoalert [12] pan,cancer [12] cancer,analysis [12] analysis,whole [12] whole,genomes [12] genomes,tumours [12] tumours,identified [12] identified,driver [12] driver,mutation Top Word Pairs in Tweet in G10:
[5] vinod,scaria [5] scaria,igibsocial [5] igibsocial,talk [5] talk,indousstf [5] indousstf,2020 [5] 2020,gives [5] gives,glimpse [5] glimpse,work [5] work,middle [5] middle,eastern Top Replied-To in Entire Graph:
Top Replied-To in G6:
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: