The dynamic competition hypothesis

We study competitive and negative interactions in real world social network in which nodes represent agents and edges appear over discrete time step. We consider directed social network of competing agents that evolve dynamically over time, where directed edges represent some kind of negative relationships between the agents in the social network. We present a novel hypothesis to identify the alliances and leaders within the the dynamic competition networks. We verify our hypothesis by using historical voting data of the social game shows Survivor and Big Brother.

The dynamic competition hypothesis

We study competitive and negative interactions in real world social network in which nodes represent agents and edges appear over discrete time step. We consider directed social network of competing agents that evolve dynamically over time, where directed edges represent some kind of negative relationships between the agents in the social network. We present a novel hypothesis to identify the alliances and leaders within the the dynamic competition networks. We verify our hypothesis by using historical voting data of the social game shows Survivor and Big Brother.

Pricing Under Dynamic Competition When Loyal Consumers Stockpile

Managers, let stockpiling be but at a higher price—don’t hope to cut stockpiling by lopping off promotions.

Designing caps for colloidal Au nanoparticles

We show that active surface growth is an effective method to create structural variety in the appending domain of Au seeds. The dynamic competition between the growth sites led to different Au hats on seeds.

A Dynamic Competition Control Strategy for Freeway Merging Region Balancing Individual Behaviour and Traffic Efficiency

An integrated control strategy is considered in this paper with the aim of solving congestion in freeway merging regions during peak hours. Merging regions discussed in this paper include the mainline and on-ramp. Traditional research mainly focuses on the efficiency of traffic, ignoring the experience of on-ramp drivers and passengers. Accordingly, a dynamic competition control strategy is proposed to balance individual behaviour and traffic efficiency. First, the concept of the congestion index is introduced, which is expressed by the queue length and the speed parameter of the merging region. The congestion index is used to balance the priorities of the vehicles from the mainline and on-ramp into the merging region in order to avoid poor individual behaviour of on-ramp drivers due to the long-time waiting. Additionally, a nonlinear optimal control approach integrating variable speed limits control and ramp metering is proposed to minimize the total time spent and the maximum traffic flow. The integrated control approach proposed in this paper is tested by simulation which is calibrated using field data. The results indicate that the integrated control approach can effectively shorten the total delay and enhance the traffic service level.