TY - GEN
T1 - Practical application of wedding ring in agent-based demographic simulation
AU - Kim, Jeongsik
AU - Kim, Namhun
AU - Paik, Euihyun
AU - Lee, Chun Hee
AU - Bae, Jang Won
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/28
Y1 - 2017/6/28
N2 - The applicability of Wedding Ring model to an agent-based demographic module is investigated. As interpretation of social simulation results requires in-depth understanding of phenomena from various angles in the spatio-temporal dimension, the agent-based modeling (ABM) approach in demographic and social studies gets popular. To provide with quantitative information about chronological dynamics, computational cost and influential networks for the implemented model, we first introduce the Wedding Ring model which captures empirical marriage patterns based on a micro-level hypothesis and its outputs which are directly affected by social interactions. Then, the key observations are examined at different points in time, population size, and distribution of social networks to check its desirability for representational details of ABMs. In conclusion, the presented model could be extended into a large-scale social laboratory with acceptable predictability and computation load to allow for investigating non-numerical characteristics while supporting traditional approaches in a complementary rather than competitive way.
AB - The applicability of Wedding Ring model to an agent-based demographic module is investigated. As interpretation of social simulation results requires in-depth understanding of phenomena from various angles in the spatio-temporal dimension, the agent-based modeling (ABM) approach in demographic and social studies gets popular. To provide with quantitative information about chronological dynamics, computational cost and influential networks for the implemented model, we first introduce the Wedding Ring model which captures empirical marriage patterns based on a micro-level hypothesis and its outputs which are directly affected by social interactions. Then, the key observations are examined at different points in time, population size, and distribution of social networks to check its desirability for representational details of ABMs. In conclusion, the presented model could be extended into a large-scale social laboratory with acceptable predictability and computation load to allow for investigating non-numerical characteristics while supporting traditional approaches in a complementary rather than competitive way.
UR - http://www.scopus.com/inward/record.url?scp=85044508208&partnerID=8YFLogxK
U2 - 10.1109/WSC.2017.8248143
DO - 10.1109/WSC.2017.8248143
M3 - Conference contribution
AN - SCOPUS:85044508208
T3 - Proceedings - Winter Simulation Conference
SP - 4384
EP - 4395
BT - 2017 Winter Simulation Conference, WSC 2017
A2 - Chan, Victor
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 Winter Simulation Conference, WSC 2017
Y2 - 3 December 2017 through 6 December 2017
ER -