Band 5, Heft 4

Based on the system dynamics (SD) model, this paper puts forward a quantitative method to evaluate the earthquake emergency plan in China. Firstly, we analyze the disaster system structure and the content of plan. Using the analysis results, we establish a system dynamics (SD) model and then carry out its simulation. According to the simulation results, the rescue effect using the plan of 2012 is better than that of 2006. From the policy level, in order to reduce loss, government should maintain communication smoothly, improve the ability of self and mutual help, strengthen the management of public opinion, and pay more attention to secondary disasters.

The purpose of this paper is to investigate the macroeconomic effect of pollution emission in an overlapping generation system. This is done through constructing an endogenous economy which generates pollution and environment deterioration. It shows how different level of pollution emission could cause complexity such as fold bifurcation in this system. In addition, numerical simulations are provided to show the emergency of complexity.

On the social network platform, complaints about the public policy formulation and implementation issues arise largely. Through the information aggregation, frequent interaction, word-of-mouth and emotional resonance on online social network, these information will lead to the outbreak of the network complaints. It brings difficulties and challenges in public management. China is under a period of social transformation, and there are various problems and contradictions. Emergency can easily arouse group complaints on online network, and it will lead to network public opinion through inducing social emotional resonance, which is harmful to social security and stability. This paper has built the evaluation index system from four dimensions with complaint text’s quality, transmission timeliness, user interaction degree and emotional resonance excited by emergency. Then, we establish the dynamic influence measure model of online netizens complaint theme based on an entropy weight model. The measure model is proved to be reasonable and effective by the empirical research of Sina Weibo data. The model can effectively solve the measure problem of group complaints influence when the emergencies arouse social emotional resonance. It has important theoretical significance and practical value for public policy decision-maker on listening to online group complaints, understanding public opinion, and making public policy.

This paper studies consensus of a class of heterogeneous multi-agent systems composed of first-order and second-order agents with intermittent communication. For leaderless multi-agent systems, we propose a distributed consensus algorithm based on the intermittent information of neighboring agents. Some sufficient conditions are obtained to guarantee the consensus of heterogeneous multi-agent systems in terms of bilinear matrix inequalities (BMIs). Meanwhile, the relationship between communication duration and each control period is sought out. Moreover, the designed algorithm is extended to leader-following multi-agent systems without velocity measurements. Finally, the effectiveness of the main results is illustrated by numerical simulations.

With the development of the electronic commerce, the electronic word-of-mouth (eWOM) has become important reference information for consumer shopping. EWOM has attracted considerable interest from researchers in the past decade. In this paper, a research review is conducted and an integrated framework is proposed on the effect of eWOM. The effect of eWOM are influenced by its characteristics, communicators, and other factors. The characteristics of eWOM include the source, the volume and the valence. The communicators of eWOM refer to the sender, the receiver and the relationship between them. In addition, dispersion and consistency, persistence and observability, anonymity and deception, and community engagement are related factors for the effect of eWOM.

Social media and consumer behavior are increasingly important in business nowadays. As a new form of advertising, social media do facilitate the increase in demand and bring a challenge to manufactures. While researchers demonstrated that insufficient capacity generates the loss in the process of sales, an opposite conclusion has been obtained that the profit is larger in insufficient capacity. This study investigates this situation of a manufacturer. We develop a multi period model of insufficient capacity concerning with social media and consumer behavior. An calculation of the model indicates that a great change appears in the demand of each period. To ensure the maximum profit, the capacity of each period is computed. And the profit is almost 8 times larger than that we do not consider social media and consumer behavior. We discuss the implications of our findings for both theory and practice.

Current researches on node importance evaluation mainly focus on undirected and unweighted networks, which fail to reflect the real world in a comprehensive and objective way. Based on directed weighted complex network models, the paper introduces the concept of in-weight intensity of nodes and thereby presents a new method to identify key nodes by using an importance evaluation matrix. The method not only considers the direction and weight of edges, but also takes into account the position importance of nodes and the importance contributions of adjacent nodes. Finally, the paper applies the algorithm to a microblog-forwarding network composed of 34 users, then compares the evaluation results with traditional methods. The experiment shows that the method proposed can effectively evaluate the node importance in directed weighted networks.

In this paper, the consensus problem for heterogeneous multi-agent systems composed of first-order and second-order agents is investigated with directed network topologies. Based on a system transformation method, this consensus problem is turned into a consensus problem for homogeneous multi-agent systems. With certain assumption on the control parameters, firstly, necessary and sufficient condition for consensus is proposed with fixed topology. Secondly, sufficient condition is proposed for heterogeneous multi-agent systems to achieve consensus with switching topologies. Finally, simulation examples are presented to verify the effectiveness of the theoretical results.