The graph represents a network of 909 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, 14 August 2020 at 02:51 UTC.
The requested start date was Friday, 14 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 73-day, 14-hour, 57-minute period from Monday, 01 June 2020 at 05:58 UTC to Thursday, 13 August 2020 at 20:55 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 : 909
Unique Edges : 716
Edges With Duplicates : 1224
Total Edges : 1940
Number of Edge Types : 5
Tweet : 293
Retweet : 498
MentionsInRetweet : 788
Mentions : 339
Replies to : 22
Self-Loops : 299
Reciprocated Vertex Pair Ratio : 0.0378109452736318
Reciprocated Edge Ratio : 0.0728667305848514
Connected Components : 221
Single-Vertex Connected Components : 105
Maximum Vertices in a Connected Component : 197
Maximum Edges in a Connected Component : 557
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.614554
Graph Density : 0.00126367262276888
Modularity : 0.552726
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 909 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, 14 August 2020 at 02:51 UTC.
The requested start date was Friday, 14 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 73-day, 14-hour, 57-minute period from Monday, 01 June 2020 at 05:58 UTC to Thursday, 13 August 2020 at 20:55 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:
[74] personalized,medicine [55] read,more [42] cutting,edge [31] #applynow,#science [31] #science,#research [30] interested,career [30] career,cutting [30] edge,#healthcare [30] #healthcare,limited [30] limited,places Top Word Pairs in Tweet in G1:
[11] ai,eliminate [11] eliminate,chronic [11] chronic,disease [11] disease,help [11] help,iot [11] iot,#personalizedmedicine [11] #personalizedmedicine,viome [11] viome,thinks [11] thinks,eradication [11] eradication,possible Top Word Pairs in Tweet in G2:
[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 G3:
[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 G4:
[9] msi,patients [9] patients,mcrp [9] mcrp,#pcsm [9] #pcsm,unselected [9] unselected,trial [9] trial,useless [9] useless,need [8] martin_angelmd,msi [7] first,line [7] line,treatment Top Word Pairs in Tweet in G5:
[29] interested,career [29] career,cutting [29] cutting,edge [29] edge,#healthcare [29] #healthcare,limited [29] limited,places [29] places,left [28] personalmedni,interested [27] left,#personalizedmedicine [27] #personalizedmedicine,bsc Top Word Pairs in Tweet in G6:
[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 G7:
[7] #webinar,personalized [7] personalized,medicine [7] medicine,pharmacogenomics [7] pharmacogenomics,scheduled [7] scheduled,august [7] august,28 [7] 28,2020 [7] 2020,more [7] more,info [5] #medicine,#genomics Top Word Pairs in Tweet in G8:
[12] hosting,virtual [12] virtual,technical [12] technical,workshop [12] workshop,ethical [12] ethical,legal [12] legal,social [12] social,aspects [12] aspects,personalized [12] personalized,medicine [11] eulacpermed,hosting 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:
[2] rmisla,openacademics [2] openacademics,bishtrenu07 [2] bishtrenu07,ahweingart [2] ahweingart,jishyra [2] jishyra,anavazquezpaga1 [2] anavazquezpaga1,anna_tea30 [2] anna_tea30,bolanosanton [2] bolanosanton,rosiwuertz [2] rosiwuertz,curlyneuron [2] chiaronzia,lena_kutscher Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G7:
Top Replied-To in G8:
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: