The graph represents a network of 1,062 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, 13 September 2019 at 13:07 UTC.
The requested start date was Thursday, 12 September 2019 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 72-day, 15-hour, 17-minute period from Monday, 01 July 2019 at 03:10 UTC to Wednesday, 11 September 2019 at 18:27 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 : 1062
Unique Edges : 1193
Edges With Duplicates : 593
Total Edges : 1786
Number of Edge Types : 3
Mentions : 1333
Tweet : 421
Replies to : 32
Self-Loops : 421
Reciprocated Vertex Pair Ratio : 0.0420475319926874
Reciprocated Edge Ratio : 0.0807017543859649
Connected Components : 284
Single-Vertex Connected Components : 126
Maximum Vertices in a Connected Component : 224
Maximum Edges in a Connected Component : 479
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.780724
Graph Density : 0.00101173075182245
Modularity : 0.657342
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[96] personalized,medicine [28] precision,medicine [24] #personalizedmedicine,#precisionmedicine [23] future,#personalizedmedicine [23] know,more [22] #precisionmedicine,#personalizedmedicine [22] learn,more [21] diffuse,low [21] low,grade [21] grade,glioma Top Word Pairs in Tweet in G1:
[20] personalized,medicine [8] #personalizedmedicine,#precisionmedicine [8] #personalizedmedicine,call [8] #exercisephysiology,#personalizedmedicine [7] #familymedicine,#mentalhealthtreatment [6] precision,medicine [6] era,#personalizedmedicine [6] learn,more [6] #caregiversupport,#familymedicine [6] #mentalhealthtreatment,#primarycare Top Word Pairs in Tweet in G2:
[10] personalized,medicine [10] royalvoxpost,#personalizedmedicine [8] #personalizedmedicine,#machinelearning [8] #machinelearning,thanks [8] thanks,new [8] new,ai [8] ai,tools [8] tools,researchers [8] researchers,uncovered [8] uncovered,5 Top Word Pairs in Tweet in G3:
[12] personalized,medicine [11] 15th,annual [8] check,out [8] healthcare,chronic [8] chronic,diseases [8] diseases,needs [8] needs,different [8] different,approach [8] approach,care [8] care,non Top Word Pairs in Tweet in G4:
[17] future,#personalizedmedicine [13] live,stream [12] next,future [11] medicine,join [10] innovation,hub [10] s,next [10] #personalizedmedicine,medicine [10] join,livestream [10] livestream,now [10] now,11teninnovation Top Word Pairs in Tweet in G5:
[6] eortc,specta [6] specta,aya [6] aya,unique [6] unique,molecular [6] molecular,profiling [6] profiling,platform [6] platform,adolescents [6] adolescents,young [6] young,adults [6] adults,#cancer Top Word Pairs in Tweet in G6:
[4] #africa,ready [4] ready,take [4] take,#quantumleap [4] #quantumleap,wef [4] wef,#management [4] #management,#ecommerce [4] #ecommerce,#deeptech [4] #deeptech,#biz [4] #biz,#it [4] look,something Top Word Pairs in Tweet in G7:
[18] us_fda,trial [18] trial,innovative [18] innovative,computer [18] computer,assisted [18] assisted,heart [18] heart,surgeries [18] surgeries,fall [18] fall,surgeons [18] surgeons,use [18] use,computational Top Word Pairs in Tweet in G8:
[19] newscientist,vaatspasmen [19] vaatspasmen,bij [19] bij,vrouwen [19] vrouwen,onderkend [19] onderkend,meer [19] meer,aandacht [19] aandacht,meer [19] meer,onderzoek [19] onderzoek,meer [19] meer,#personalizedmedicine Top Word Pairs in Tweet in G9:
[4] polom_karol,speritoneum [4] deliacortesguir,polom_karol [3] speritoneum,oliviawriting [3] oliviawriting,glehenolivier [3] glehenolivier,dr_mohammadyami [3] dr_mohammadyami,precisionso [3] precisionso,faheezm [3] faheezm,operarelcancer [3] polom_karol,farazkh65499316 [3] farazkh65499316,oliviawriting Top Word Pairs in Tweet in G10:
[5] 3d,printing [5] printing,gets [5] gets,cheaper [5] cheaper,rehearsing [5] rehearsing,surgery [5] surgery,3d [5] 3d,printed [5] printed,replica [5] replica,specific [5] specific,patient Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G9:
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: