Reaction Paper Data-driven Outbreak Detection in Social Networks
نویسندگان
چکیده
Recently, the process of how ideas and influence propagate through a social network has drawn extensive research efforts. It lies in the core of understanding the diffusion of news, fashions and innovations, it also plays important roles in marketing strategies, virus and pollution control. This reaction paper focuses on: (i) summarization of literatures in influence maximization and outbreak detection, (ii) discussion of pros and cons of existing models and algorithms, and (iii) proposal of what we will research in our projects.
منابع مشابه
Data-driven Outbreak Detection in Social Networks
In social networks, influence such as information, virus, innovations spreads from node to node through the edges of the networks. Understanding this diffusion process is the key to many important real-world applications, for example marketing strategies, virus and pollution control. The problem of outbreak detection and influence maximization ask about selecting a set of “important” nodes (sen...
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