A framework of multilayer social networks for communication behavior with agent-based modeling

Authors:
Yuanzheng Ge;Liang Liu;Xiaogang Qiu;Hongbin Song;Yong Wang;Kedi Huang
Affiliations:
College of Information System and Management, National University of Defense Technology, Changsha, China;College of Information System and Management, National University of Defense Technology, Changsha, China;College of Information System and Management, National University of Defense Technology, Changsha, China;Institute of Disease Control and Prevention, Academy of Military Medical Sciences, Beijing, China;Institute of Disease Control and Prevention, Academy of Military Medical Sciences, Beijing, China;College of Information System and Management, National University of Defense Technology, Changsha, China
Venue:
Simulation
Year:
2013

Citing 10
Cited 0

The Mathematics of Infectious Diseases

SIAM Review
Experiences creating three implementations of the repast agent modeling toolkit

ACM Transactions on Modeling and Computer Simulation (TOMACS)
Social Computing: From Social Informatics to Social Intelligence

IEEE Intelligent Systems
Agent-based modeling and simulation: desktop ABMS

Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
EpiSimdemics: an efficient algorithm for simulating the spread of infectious disease over large realistic social networks

Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Integrating epidemic dynamics with daily commuting networks: building a multilayer framework to assess influenza A (H1N1) intervention policies

Simulation
Modeling and analyzing social network dynamics using stochastic discrete graphical dynamical systems

Theoretical Computer Science
A Distributed Platform for Global-Scale Agent-Based Models of Disease Transmission

ACM Transactions on Modeling and Computer Simulation (TOMACS)
Agent-based computing from multi-agent systems to agent-based models: a visual survey

Scientometrics
BioWar: scalable agent-based model of bioattacks

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

Quantified Score

Hi-index	0.00

Visualization

Abstract

Agent-based modeling and simulation play an important role in sociological analysis for complex phenomena. The social communication behaviors can be reproduced by interactive agents, who can behave like human beings. In this paper, we propose a simulation framework of multilayer social networks to model high-resolution interaction between agents. The agent model contains three components: social networks, a demographic-based population and a schedule-based behavior. A common description of multilayer heterogeneous networks is presented. To evaluate the performance of the proposed framework, we reproduce the transmission of influenza H1N1 in an artificial classroom, and compare the simulation results with a real outbreak of influenza H1N1 at one university in Langfang, 2009. The simulation results show high correlation between social networks and the transmission of influenza, and demonstrate that individual-based social network models can well reproduce and analyze complex interacting behavior. Furthermore, experiments under controlled conditions are carried out to analyze the sensitivity of alternative parameters. The framework is able to model high-resolution, social communications from multiple aspects.