Maximizing the Present Value of Profits in a Social Network under Stochastic Environment

摘要：

　　We study how to choose a set of individual s for triggering a process of recommendation for a new product in a social network.The focus is on maximizing the present value of profits in the network assuming that the costs for initially influencing the nodes and the profit gained from every individual are with randomness.We present three stochastic programming models and a genetic algorithm for solving the models.Finally, a numerical example is given.

关键词： social networks present value stochastic costs network value genetic algorithms

作者: Xiaonan Wang Yaodong Ni

作者单位: School of Banking and Finance University of International Business and Economics,Beijing 100029,Chin School of Information Technology and Management University of International Business and Economics,B

会议类型: 国内会议

会议名称: 第八届中国智能计算大会暨国际电子商务联合会中国分会第三届年会

会议地点: 秦皇岛

会议语种:英文

页码: 295-299

在线出版日期: 2014-05-23（万方平台首次上网日期，不代表论文的发表时间）