Titlebook: Diffusion Source Localization in Large Networks; Lei Ying,Kai Zhu Book 2018 Springer Nature Switzerland AG 2018

AGOG

https://doi.org/10.1007/978-1-4471-5355-9This chapter focuses on source localization under continuous-time diffusion models. We first present the basic models and then discuss rumor centrality, introduced in a seminal paper [Shah and Zaman, 2011].

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Refinement, Observation and ModificationThis chapter is devoted to source localization problem with partial timestamps, where besides the single snapshot of the network, the infection times of some infected nodes are also given to us. We first summarize the models used in this chapter.

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noxious

Source Localization under Discrete-Time Diffusion Models,This chapter focuses on source localization under discrete-time diffusion models. We will start from simple diffusion and network models and then extend the results to more general models.

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Source Localization under Continuous-Time Diffusion Models,This chapter focuses on source localization under continuous-time diffusion models. We first present the basic models and then discuss rumor centrality, introduced in a seminal paper [Shah and Zaman, 2011].

角斗士

Source Localization with Partial Timestamps,This chapter is devoted to source localization problem with partial timestamps, where besides the single snapshot of the network, the infection times of some infected nodes are also given to us. We first summarize the models used in this chapter.

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Open Questions,While significant progress has been made on source localization in large-scale networks under various different models, a number of questions remain open. We next summarize the open questions in three categories: (1) more general diffusion models, (2) realistic networks, and (3) incomplete observations.

合法

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Synthesis Lectures on Learning, Networks, and Algorithmshttp://image.papertrans.cn/d/image/279019.jpg

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