Relative influence maximization in competitive social networks  

作　　者：Dingda YANG Xiangwen LIAO Huawei SHEN Xueqi CHENG Guolong CHEN 

机构地区：[1]College of Physics and Information Engineering, Fuzhou University, Fuzhou 350116, China [2]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350116, China [3]Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou 350116, China [4]Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China

出　　处：《Science China(Information Sciences)》2017年第10期248-250,共3页中国科学（信息科学）（英文版）

基　　金：supported by National Natural Science Foundation of China(Grant Nos.61472400,61300105);Research Fund for Doctoral Program of Higher Education of China(Grant No.2012351410010);Key Project of Science and Technology of Fujian(Grant No.2013H6012);Key Laboratory of Network Data Science & Technology,and Chinese Science and Technology Foundation(Grant No.CASNDST20140X)

摘　　要：In many realistic scenarios, such as political election and viral marketing, two opposite opinions, i.e., positive opinion and negative opinion, spread simultaneously in the same social networks. Consequently, to achieve good word-of-mouth effeet, it is desired to maximize the spread of positive opinions while reducing the spread of negative opinions, i.e., maximizing the difference between the spread of positive opinions and the spread of negative opinions.In many realistic scenarios, such as political election and viral marketing, two opposite opinions, i.e., positive opinion and negative opinion, spread simultaneously in the same social networks. Consequently, to achieve good word-of-mouth effeet, it is desired to maximize the spread of positive opinions while reducing the spread of negative opinions, i.e., maximizing the difference between the spread of positive opinions and the spread of negative opinions.

关 键 词：net RIM Relative influence maximization in competitive social networks Figure 

分 类 号：O157.5[理学—数学]