A Meta-Modeling Framework for a Specific Social Domain: Public Opinion Event

Authored by Xiaogang Qiu, Yuanzheng Ge, Liang Liu, Zongchen Fan, Weihui Dai, Yunsuo Duan

Date Published: 2015

DOI: 10.2298/csis140927024f

Sponsors: Chinese National Natural Science Foundation

Platforms: No platforms listed

Model Documentation: Other Narrative Flow charts

Model Code URLs: Model code not found

Abstract

Due to the extensive social influence in modem information communication environment, public opinion event has caused significant attention in emergency management by the government. The formation and evolution of public opinion event is a dynamically interactive process affected by the participant's complicated psychology and behaviors. Agent-based modeling method can provide an effective and powerful tool to investigate the emerging phenomena in a social simulation system. Although many methodologies have been presented to support the standardized modeling, but the transition from expertise or theory model to computing simulation model is still a hard work for the sociologist, who usually lack of the required technological skills. In order to step over this barrier, we propose a domain-expert oriented methodology to guide the modeling process in a specific social domain, and design a meta-modeling framework based on the paradigm of Agent-Event-Environment (AEE) which can be considered as a basis of developing a visual modeling environment or tools. By the application in the real case of a major public opinion event, the proposed method has been verified effectively and efficiently. Research work of this article provides a valuable framework and methodology to deal with the transition of expertise or theoretical knowledge into computing simulation for a specific social domain.

Tags

Agent Dynamics Intelligence Methodology Media