The graph represents a network of 1,012 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, 29 May 2020 at 02:50 UTC.
The requested start date was Friday, 29 May 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 87-day, 23-hour, 25-minute period from Sunday, 01 March 2020 at 19:25 UTC to Thursday, 28 May 2020 at 18:50 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 : 1012
Unique Edges : 800
Edges With Duplicates : 1494
Total Edges : 2294
Number of Edge Types : 5
Tweet : 361
Retweet : 533
MentionsInRetweet : 813
Mentions : 564
Replies to : 23
Self-Loops : 368
Reciprocated Vertex Pair Ratio : 0.0551977920883165
Reciprocated Edge Ratio : 0.10462074978204
Connected Components : 233
Single-Vertex Connected Components : 124
Maximum Vertices in a Connected Component : 399
Maximum Edges in a Connected Component : 1322
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.685864
Graph Density : 0.00112106746734537
Modularity : 0.497667
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 1,012 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, 29 May 2020 at 02:50 UTC.
The requested start date was Friday, 29 May 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 87-day, 23-hour, 25-minute period from Sunday, 01 March 2020 at 19:25 UTC to Thursday, 28 May 2020 at 18:50 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 G2:
[15] personalized,medicine [10] 29,2020 [10] following,recent [8] recent,research [7] research,partnership [7] partnership,projectalsorg [7] projectalsorg,tech_networks' [7] tech_networks',mollyrcampbell [7] mollyrcampbell,interviewed [7] interviewed,medidata's Top Word Pairs in Tweet in G3:
[35] dr,rachele [13] check,interview [11] pmedcast,#data [11] future,#personalizedmedicine [11] co,host [11] interview,dr [11] learn,more [11] #data,managed [11] managed,#personalizedmedicine [11] #personalizedmedicine,leveraged Top Word Pairs in Tweet in G4:
[11] covid,19 [10] future,health [10] health,care [8] lessons,learned [8] learned,emergence [8] emergence,covid [8] 19,shape [7] shape,discussions [7] discussions,future [7] care,years Top Word Pairs in Tweet in G5:
[8] one,size [6] size,fits [6] #vaccines,sold [5] sold,one [5] fits,know [5] know,drug [5] drug,works [5] works,safe [5] safe,people [5] people,time Top Word Pairs in Tweet in G6:
[41] david,haussler [41] #strandlifesciences,#diagnostics [28] #diagnostics,#genomics [28] stephen,kingsmore [28] #covid19testing,#strandlifesciences [28] star,panel [28] panel,kevinadavies [28] kevinadavies,david [28] haussler,stephen [28] kingsmore,lizworthey Top Word Pairs in Tweet in G7:
[15] contact,personalizedmedicine [14] personalizedmedicine,longdomglobal [14] 2020,more [11] personalized,medicine [10] 29,2020 [10] 32,466903217 [10] more,info [10] info,contact [10] #webinar,personalized [10] medicine,pharmacogenomics Top Word Pairs in Tweet in G8:
[45] better,way [44] way,start [41] start,day [39] day,#esmobreast20 [38] #esmobreast20,keynote [34] keynote,lecture [28] lecture,great [28] great,fandremd [27] fandremd,priorities [25] matteolambe,better Top Word Pairs in Tweet in G9:
[15] very,excited [15] excited,co [15] co,supervise [15] supervise,mizankhondoker [15] mizankhondoker,phd [15] phd,studentship [15] studentship,october [15] october,onwards [15] onwards,interested [14] m_hornberger,very Top Word Pairs in Tweet in G10:
[9] please,highly [9] highly,skilled [9] skilled,phd [9] phd,#machinelearning [9] #machinelearning,related [9] related,fields [9] fields,create [9] create,impact [9] ataksi,telenjiektazi [8] telenjiektazi,hastasä Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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