The graph represents a network of 1,185 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, 07 August 2020 at 02:52 UTC.
The requested start date was Friday, 07 August 2020 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 96-day, 7-hour, 27-minute period from Friday, 01 May 2020 at 11:53 UTC to Wednesday, 05 August 2020 at 19:21 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 : 1185
Unique Edges : 995
Edges With Duplicates : 1604
Total Edges : 2599
Number of Edge Types : 5
Mentions : 564
Retweet : 618
MentionsInRetweet : 1017
Tweet : 369
Replies to : 31
Self-Loops : 377
Reciprocated Vertex Pair Ratio : 0.0383480825958702
Reciprocated Edge Ratio : 0.0738636363636364
Connected Components : 268
Single-Vertex Connected Components : 132
Maximum Vertices in a Connected Component : 427
Maximum Edges in a Connected Component : 1270
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.625771
Graph Density : 0.00100353518075037
Modularity : 0.548246
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 1,185 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, 07 August 2020 at 02:52 UTC.
The requested start date was Friday, 07 August 2020 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 96-day, 7-hour, 27-minute period from Friday, 01 May 2020 at 11:53 UTC to Wednesday, 05 August 2020 at 19:21 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:
[90] personalized,medicine [66] read,more [34] visit,website [31] #applynow,#science [31] #science,#research [30] #research,#biomaterials [30] 2020,more [26] eliminate,chronic [26] chronic,disease [26] disease,help Top Word Pairs in Tweet in G1:
[13] personalized,medicine [11] read,more [11] ai,eliminate [11] eliminate,chronic [11] chronic,disease [11] disease,help [11] help,iot [11] iot,#personalizedmedicine [11] #personalizedmedicine,viome [11] viome,thinks Top Word Pairs in Tweet in G2:
[18] #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 G3:
[10] ai,eliminate [10] eliminate,chronic [10] chronic,disease [10] disease,help [10] help,iot [10] iot,#personalizedmedicine [10] #personalizedmedicine,viome [10] viome,thinks [10] thinks,eradication [10] eradication,possible Top Word Pairs in Tweet in G4:
[6] covid,19 [5] pmc,proudly [5] proudly,selects [5] selects,pennmedicine [5] pennmedicine,'s [5] 's,carlhjune [5] carlhjune,16th [5] 16th,annual [5] annual,leadership [5] leadership,#personalizedmedicine Top Word Pairs in Tweet in G5:
[14] looking,interesting [14] interesting,place [14] place,doctoral [14] doctoral,#machinelearning [14] #machinelearning,#personalizedmedicine [14] #personalizedmedicine,beautiful [14] beautiful,#sevilla [13] xdopazo,looking [13] joaquin,dopazo [13] dopazo,xdopazo Top Word Pairs in Tweet in G6:
[23] 2020,more [20] 29,2020 [20] contact,personalizedmedicine [20] personalizedmedicine,longdomglobal [17] #webinar,personalized [17] personalized,medicine [16] 32,466903217 [15] medicine,pharmacogenomics [13] whatsapp,32 [13] more,details Top Word Pairs in Tweet in G7:
[10] read,more [10] more,detailed [5] enjoyed,#precisionmedicine [5] #precisionmedicine,talks [5] talks,recent [5] recent,article [5] article,mybiotechniques [5] mybiotechniques,goes [4] read,analytica [4] analytica,news Top Word Pairs in Tweet in G8:
[11] hosting,virtual [11] virtual,technical [11] technical,workshop [11] workshop,ethical [11] ethical,legal [11] legal,social [11] social,aspects [11] aspects,personalized [11] personalized,medicine [10] eulacpermed,hosting Top Word Pairs in Tweet in G9:
[25] read,more [20] khademh,#nowhiring [20] #applynow,#science [20] #science,#research [20] #research,#biomaterials [19] #nowhiring,visit [19] visit,website [19] website,read [19] more,apply [19] apply,#applynow 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: