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.

1. +
Matchmaker, Matchmaker, Make me a Match: Migration of
Populations via Marriages in the Past
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Sang Hoon Lee (이상훈) , Robyn Ffrancon,
Danny Abrams, Beom Jun Kim (김범준), and MAP,
Phys. Rev. X, Vol. 4, 041009 (2014).

2. + KPS Conference Author List

5. +Locations of Clan-Origin Names
(determined from Google Maps API)

7. “The Ten Thousand Kims”

9. +Backing up a bit…

10. +“Social Physics” / “Sociophysics”
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11. +Ravenstein: “Currents of Migration”

12. +Ravenstein’s Theories of Migration
(as stated in http://www.harpercollege.edu/mhealy/migrat/xp/mgraven.htm)

13. +Long-Term Migration
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14. +A Systems-Level Perspective
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15. +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

16. Could also consider other “microscopic” mechanisms, such as intervening opportunities model

21. 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)

26. +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.)

27. Our 10 jokbo
t0 = earliest date
Ne = number of entries
Nc = number of clans
All 10 jokbo for “ergodic” clans
D = diffusion constant

28. 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.)

30. Population-Flow Networks

34. +Korea is (mostly) Mono-centric

35. +Growth of Seoul (Cartograms)

36. Video: Population Growth of Seoul
(1970–2010)

37. +
Conclusions
and
Outlook
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