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Matchmaker110714

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Slides from my talk on a systems-level investigation of long-term human migration in Korea. Our paper is available at the following page: http://journals.aps.org/prx/abstract/10.1103/PhysRevX.4.041009

I adapted these slides from the ones created by my coauthor Sang Hoon Lee.

Published in: Science
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Matchmaker110714

  1. 1. + Matchmaker, Matchmaker, Make me a Match: Migration of Populations via Marriages in the Past /CUQP#2QTVGT OCUQPRQTVGT /CVJGOCVKECN+PUVKVWVG 7PKXGTUKV[QH1ZHQTF Sang Hoon Lee (이상훈) , Robyn Ffrancon, Danny Abrams, Beom Jun Kim (김범준), and MAP, Phys. Rev. X, Vol. 4, 041009 (2014).
  2. 2. + KPS Conference Author List
  3. 3. +Locations of Clan-Origin Names (determined from Google Maps API)
  4. 4. “The Ten Thousand Kims”
  5. 5. +Backing up a bit…
  6. 6. +“Social Physics” / “Sociophysics” ! #WIWUV%QOVG ł9KMKRGFKCECNNUJKOVJGHQWPFGTQH VJGFKUEKRNKPGQHUQEKQNQI[(KTUVWUGFVJGVGTOňUQEKCNRJ[UKEUʼn DWVEJCPIGFKVVQňUQEKQNQI[ʼnCHVGTKVYCUCRRTQRTKCVGFD[ QVJGTU ! .CODGTV#FQNRJG,CESWGU3WGVGNGV ł*KLCEMGFVJG VGTOňUQEKCNRJ[UKEUʼnHTQO%QOVG7UGFRTQDCDKNKV[CPF UVCVKUVKEUVQGZCOKPGRJGPQOGPCNKMGOCTTKCIGTCVGUETKOG TCVGUCPFVQVT[VQGZRNCKPVJGOYKVJKFGCUQVJGTVJCPUQEKCN HCEVQTU ! 'TPUV)GQTI4CXGPUVGKP ł6JGQT[QHOKITCVKQP ! #NQVQHSWCPVKVCVKXGYQTMQPJWOCPOQDKNKV[GXGTUKPEG
  7. 7. +Ravenstein: “Currents of Migration”
  8. 8. +Ravenstein’s Theories of Migration (as stated in http://www.harpercollege.edu/mhealy/migrat/xp/mgraven.htm)
  9. 9. +Long-Term Migration ! 1WTRCRGTEQPUKFGTUNQPIVGTOKPVGTPCNOKITCVKQP UGXGTCN JWPFTGF[GCTU ! /QUVRJ[UKEUDCUGFUVWFKGUEQPUKFGTOWEJUJQTVGTVGTO OQDKNKV[ ! CVCUWEJCUOQDKNGRJQPGTGEQTFUEWTTGPE[OQXGOGPVU Ņ9JGTGņU )GQTIGņGVE5VWFKGUQHňJWOCPF[PCOKEUʼnCPFCRRNKECVKQPUUWEJ CUDKQNQIKECNEQPVCIKQPU ! .QPIVGTOOKITCVKQPKUTGNGXCPVHQTWTDCPKCVKQPFGOQITCRJKE UVTWEVWTGQHEKVKGUURTGCFQHEWNVWTGCPFTGNKIKQPGVE
  10. 10. +A Systems-Level Perspective ! ň/KETQUEQRKEʼnRTQEGUUQHOCTTKCIGU CPFCUUQEKCVGF OQXGOGPVQHDTKFGUEQPVTKDWVGUVQňOCETQUEQRKEʼn OKITCVKQP ! 5VCVKUVKECNOGEJCPKEU ! 9JCVVJGETKVKEUUC[ ! #20#5TGHGTGGņUHKPCNYQTFUň6JGKTCPCN[UGUCTGCVVJG KPFKXKFWCNNGXGNCPFCEVWCNN[UGGMVQCEEQWPVHQTEQPVGZVKPC ECTGHWNCPFPWCPEGFHCUJKQP6JGTGUWNVUJGTGTGRTGUGPVGFC UWDUVCPVKCNUVGRDCEMYCTFKPVGTOUQHXCNWGCPFUQRJKUVKECVKQP HTQOVJGOCP[RWDNKUJGFCPCN[UGUVJCVJCXGCNTGCF[DGGP RWDNKUJGFKP-QTGCPCPFQT'PINKUJʼn ! 'FKVQTKCNFGUMTGLGEVKQPHTQO0CVWTG%QOOWPKECVKQPUKP JQWTUCPFOKPWVG %JCNNGPIG$GCVVJCV ! 1WVVCMG EQTTGEVGFFWTKPIRTQQHUňGTIQFKEENCOUʼn
  11. 11. +Our 10 jokbo t0 = earliest date Ne = number of entries Nc = number of clans All 10 jokbo for “ergodic” clans Results in main text for jokbo 1
  12. 12. Could also consider other “microscopic” mechanisms, such as intervening opportunities model
  13. 13. Our 10 jokbo t0 = earliest date Ne = number of entries Nc = number of clans All 10 jokbo for “ergodic” clans α, γ: fit parameters (last slide)
  14. 14. +Diffusion Constants of Clans 199 “standardized” regions from 1985 and 2000 censuses. (See paper for discussion of how we produced them. Data available as supplementary information.)
  15. 15. Our 10 jokbo t0 = earliest date Ne = number of entries Nc = number of clans All 10 jokbo for “ergodic” clans D = diffusion constant
  16. 16. One measure of ergodicity: clan appears in at least some minimum (e.g. 150) of the 199 regions. (One can also examine ergodicity by plotting e.g. radii of gyration on the vertical axis.)
  17. 17. Population-Flow Networks
  18. 18. +Korea is (mostly) Mono-centric
  19. 19. +Growth of Seoul (Cartograms)
  20. 20. Video: Population Growth of Seoul (1970–2010)
  21. 21. + Conclusions and Outlook ! 9GGZCOKPGFJKUVQTKECNJWOCPOKITCVKQPQXGTNQPI VKOGUECNGU ! ň/KETQUEQRKEʼnOGEJCPKUOUHQTOCVEJOCMKPI HQTU[UVGOUNGXGNCPCN[UKU ! 9GCPCN[GFVYQEQORNGOGPVCT[FCVCUGVU ! -QTGCPLQMDQ IQQFVGORQTCNTGUQNWVKQPQPN[ ENCPUUQDKCUGFUCORNGCPFRQQTURCVKCN TGUQNWVKQP ! /QFGTPEGPUWUFCVC IQQFURCVKCNTGUQNWVKQP RQQTVGORQTCNTGUQNWVKQP ! 'TIQFKEXGTUWUPQPGTIQFKEENCPU ! KHHWUKXGXGTUWUEQPXGEVKXGOKITCVKQP ! GUKTCDNGFCVCVQGZVGPFVJKUYQTM ! ,QMDQHTQOOQTGENCPU ! ň5KOKNCTʼnFCVCHTQOQVJGTEQWPVTKGUVQ GZCOKPGFKHHWUKQPXGTUWUEQPXGEVKQPCETQUU OCP[EWNVWTGU ! )GPGVKEFCVC ! #EMPQYNGFIGOGPVU ! (WPFGFD['254% ! *CYQQPI,GQPI=,GQPIHTQOQPITCG?HQT LQMDQFCVC ! ,QUGH0QXQVP[HQT%GEJUWTPCOGFCVC

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