Titlebook: Diffusion in Social Networks; Paulo Shakarian,Abhivav Bhatnagar,Ruocheng Guo Book 2015 The Author(s) 2015 artificial intelligence.diffusio

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Book 2015s connections between social network diffusion research and artificial intelligence through topics such as agent-based modeling, logic programming, game theory, learning, and data mining. The book also surveys key empirical results in social network diffusion, and reviews the classic and cutting-edge research with a focus on open problems.

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Conclusion,rvational studies in disciplines such as sociology and economics to the machine learning approaches seen in the computer science community. As data on real-world diffusion traces become more available, we?expect this line of work to grow further.

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Logic Programming Based Diffusion Models,d . (SNDOPs). In this chapter, we show how various diffusion processes can be embedded as GAP’s and then study the algorithmic and complexity issues associated with SDNOP’s. Experimental results are also included.

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https://doi.org/10.1007/978-3-030-03721-5. We provide exact and heuristic methods for solving this problem as well as a suite of results to not only demonstrate the utility of these methods, but provide insight into the dynamics of the tipping model also.