A Survey on Information Diffusion Models in Social Networks

被引:25
|
作者
Singh, Shashank Sheshar [1 ]
Singh, Kuldeep [1 ]
Kumar, Ajay [1 ]
Shakya, Harish Kumar [1 ]
Biswas, Bhaskar [1 ]
机构
[1] Indian Inst Technol BHU, Dept Comp Sci & Engn, Varanasi 221005, Uttar Pradesh, India
来源
ADVANCED INFORMATICS FOR COMPUTING RESEARCH, PT II | 2019年 / 956卷
关键词
Information diffusion; Social networks; Social influence; Influence maximization; THRESHOLD MODELS; CENTRALITY;
D O I
10.1007/978-981-13-3143-5_35
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Nowadays, social influence plays an important role in everyday life because peoples are spending too much time in social the networks. Social influence is the change in a people behaviors, thoughts, attitudes, and feeling by interacting other peoples in the social networks. Thus, analysis of social influence spreading has emerged as an important topic of interest in areas of computer science, economics, and sociology. In 1940s, only empirical studies of diffusion process have been done. In 1970s, some theoretical propagation models were proposed. Later, motivated by marketing strategy influence maximization problem is emerges. The main objective of influence maximization (IM) problem is to maximize the social influence spreading with fixed predetermined budget k in online social networks such as twitter, Epinions, Facebook, HEP-PH and Google+ etc.
引用
收藏
页码:426 / 439
页数:14
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