Modeling the reemergence of information diffusion in social network

• Published in: Physica A Vol. 490; pp. 1493 - 1500
• Main Authors: Yang, Dingda, Liao, Xiangwen, Shen, Huawei, Cheng, Xueqi, Chen, Guolong
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 15.01.2018
• Subjects: Information diffusion; Information reemergence; Social network; Information diffusion; Social network; Information reemergence
• ISSN: 0378-4371; 1873-2119
• DOI: 10.1016/j.physa.2017.08.115

Information diffusion in networks is an important research topic in various fields. Existing studies either focus on modeling the process of information diffusion, e.g., independent cascade model and linear threshold model, or investigate information diffusion in networks with certain structural characteristics such as scale-free networks and small world networks. However, there are still several phenomena that have not been captured by existing information diffusion models. One of the prominent phenomena is the reemergence of information diffusion, i.e., a piece of information reemerges after the completion of its initial diffusion process. In this paper, we propose an optimized information diffusion model by introducing a new informed state into traditional susceptible–infected–removed model. We verify the proposed model via simulations in real-world social networks, and the results indicate that the model can reproduce the reemergence of information during the diffusion process. •We observe that a piece of information reemerges in social networks.•We propose an information diffusion model with the informed state.•Our model can reproduce the reemergence of information diffusion.•We empirically demonstrate how the reemergence of information diffusion exhibits.