@inproceedings{e6861162415142bc96b34af51f5225e5,
title = "Asymmetric normalization aided information diffusion for socially-aware mobile networks",
abstract = "How to improve the information diffusion coverage rate in socially-aware mobile networks has drawn great attention. To address this issue, the concept of the tie strength, the partial strength and the value strength were proposed in order to achieve a superior criterion for information diffusion. However, the previous works did not consider the existence of various patterns among the nodes in socially-aware mobile networks. In this paper, we propose the asymmetric normalization forms of the partial strength as well as the value strength. Moreover, we explore the essence of asymmetry and its influence on information diffusion relying on analyzing the characteristics of graph structures as well as information local traps. Simulation results on the real-world social network and on the mobile network verify that our proposed asymmetric normalization forms are beneficial to promoting information diffusion.",
author = "Kai Zhang and Jingjing Wang and Chunxiao Jiang and Chen, \{Kwang Cheng\} and Yong Ren",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Communications, ICC 2017 ; Conference date: 21-05-2017 Through 25-05-2017",
year = "2017",
month = jul,
day = "28",
doi = "10.1109/ICC.2017.7997221",
language = "英语",
series = "IEEE International Conference on Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Merouane Debbah and David Gesbert and Abdelhamid Mellouk",
booktitle = "2017 IEEE International Conference on Communications, ICC 2017",
address = "美国",
}