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

共同时代

毕业典礼

xanthelasma

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.

lesion

分发

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.

材料等

压迫

碎石

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.

吹牛需要艺术

Forsake

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.