中文摘要：

利用商务社区中用户流量转移行为的实证结果构建服务商收益模型,并集成进入基于多智能体和无标度网络的计算实验模型中.实验结果表明,该模型能较好地模拟协同电子商务中服务商和消费群体的交互行为演化过程;消费群体中,创新者或早期接受者明显占优,使用较低的管理力度,能让在购量的演化快速达到均衡,且能获取较大收益;反之,群体中,晚期接受者比例占优时,即便实施较大的管理力度,效果也不明显;定位网络中关键节点和关键区域,实施有针对性的管理策略,可以提高潜在用户到在购的转移率;鼓励用户使用多种社交工具,改变用户交流网络结构,从而加大服务商获取更大利润的可能.

英文摘要：

To understand the evolution of interaction between collaborative e-commerce vendor and consumers,we propose an agent-based computation model upon scale-free network based on vendor＇profit model,the profit model is based on empirical result from commerce community,and program the system with NetL ogo to simulate interaction between vendor and consumers. The experimental results show that better fineness are existing between experimental data and classic diffusion curves,it indicates that the experimental model can be used to simulate evolution of users＇ transfer behavior. If innovators or early adopters are dominant in network,online shopping can reach higher peak,and manager can get higher expectation profit while making lower management efforts,but late adopters are dominant in network,even significant efforts are made,lower online shopping lever can reach. Vendor can gain more profit by encouraging consumers to adopt several social tools,which can increase nodes of the network and change the network topology.