The graph represents a network of 1,145 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, 10 July 2020 at 02:50 UTC.
The requested start date was Friday, 10 July 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 99-day, 9-hour, 30-minute period from Wednesday, 01 April 2020 at 09:36 UTC to Thursday, 09 July 2020 at 19:06 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 : 1145
Unique Edges : 891
Edges With Duplicates : 1624
Total Edges : 2515
Number of Edge Types : 5
Tweet : 391
Retweet : 594
MentionsInRetweet : 914
Mentions : 587
Replies to : 29
Self-Loops : 396
Reciprocated Vertex Pair Ratio : 0.046875
Reciprocated Edge Ratio : 0.0895522388059701
Connected Components : 273
Single-Vertex Connected Components : 137
Maximum Vertices in a Connected Component : 426
Maximum Edges in a Connected Component : 1307
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.233656
Graph Density : 0.000971844749137326
Modularity : 0.514591
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 1,145 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, 10 July 2020 at 02:50 UTC.
The requested start date was Friday, 10 July 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 99-day, 9-hour, 30-minute period from Wednesday, 01 April 2020 at 09:36 UTC to Thursday, 09 July 2020 at 19:06 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:
[119] personalized,medicine [54] 2020,more [52] 29,2020 [50] read,more [41] contact,personalizedmedicine [40] personalizedmedicine,longdomglobal [37] #webinar,personalized [37] more,info [35] #precisionmedicine,#personalizedmedicine [35] covid,19 Top Word Pairs in Tweet in G1:
[16] personalized,medicine [14] read,more [13] #personalizedmedicine,call [8] hailed,one [8] one,latest [8] latest,big [8] big,ideas [8] ideas,treating [8] treating,patients [8] patients,missing Top Word Pairs in Tweet in G2:
[36] personalized,medicine [13] joaquin,dopazo [13] dopazo,xdopazo [13] xdopazo,presents [13] presents,#elixir20 [13] #elixir20,personalized [13] medicine,module [13] module,solution [13] solution,#raredisease [13] #raredisease,diagnosis Top Word Pairs in Tweet in G3:
[19] #oncoalert,#urooncoiaf [16] savolitinib,demonstrated [16] demonstrated,encouraging [16] encouraging,efficacy [16] efficacy,#pfs [16] #pfs,improved [16] improved,safety [16] safety,profile [16] profile,vs [16] vs,sunitinib Top Word Pairs in Tweet in G4:
[14] #strandlifesciences,#diagnostics [14] #diagnostics,#genomics [11] read,more [11] more,detailed [10] #covid19testing,#strandlifesciences [9] very,excited [9] excited,co [9] co,supervise [9] supervise,mizankhondoker [9] mizankhondoker,phd Top Word Pairs in Tweet in G5:
[7] edd,edc [7] #ehealth,#fertilityawareness [7] developer,replace [7] replace,lmp [7] lmp,naegele [7] naegele,based [7] find,more [7] know,#microbes [7] #microbes,intestines [7] intestines,interfere Top Word Pairs in Tweet in G6:
[41] 2020,more [41] contact,personalizedmedicine [40] personalizedmedicine,longdomglobal [37] 29,2020 [33] personalized,medicine [29] 32,466903217 [27] #webinar,personalized [26] more,info [26] info,contact [21] medicine,pharmacogenomics Top Word Pairs in Tweet in G7:
[11] covid,19 [6] future,health [6] health,care [5] lessons,learned [5] learned,emergence [5] emergence,covid [5] 19,shape [5] shape,discussions [5] discussions,future [5] care,years Top Word Pairs in Tweet in G8:
[6] publication,prof [6] prof,philcorcia [6] philcorcia,metabolomics [6] metabolomics,tool [6] tool,understand [6] understand,impact [6] impact,genetic [6] genetic,mutations [6] mutations,amyotrophic [5] ibrain_inserm,publication Top Word Pairs in Tweet in G9:
[19] carolina,tropini [19] tropini,1st [19] 1st,canadian [19] canadian,win [19] win,150k [19] 150k,johnson [19] johnson,johnson [19] johnson,#wistem2d [11] #wistem2d,engineering [11] engineering,award Top Word Pairs in Tweet in G10:
[10] save,date [10] date,dr [10] dr,jeffrey [10] jeffrey,rothstein [10] rothstein,discussing [10] discussing,impact [10] impact,personalized [10] personalized,medicine [10] medicine,people [9] michell62614519,save Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: