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

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Loathe

Book 2015es diffusion models from the fields of computer science (independent cascade and linear threshold), sociology (tipping models), physics (voter models), biology (evolutionary models), and epidemiology (SIR/SIS and related models). A variety of properties and problems related to these models are discu

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Introduction, topic from multiple fields. The availability of large social network datasets over nearly the past two decades have made it possible to explore network diffusion like never before. Having said that, the materials covered in this book is not limited to the online platforms, but rather are thought to

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FEAS

The Tipping Model and the Minimum Seed Problem,ghbors currently exhibit the same. A key problem, with respect to this model, is to select an initial “seed” set from the network such that the entire network adopts any behavior given to the seed. In this chapter, we investigate the problem of identifying a seed set of minimum size—which is NP-hard

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The Independent Cascade and Linear Threshold Models,We describe different properties of these models and how these properties affect solving problems such as influence maximization and influence spread. We describe approaches to address influence maximization problem in independent cascade model and linear threshold model that rely on the maximizatio

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Examining Diffusion in the Real World,this chapter, we study diffusion processes from a data-driven perspective—specifiably reviewing the early identification of information cascades that will diffuse through a large portion of the network.