Source: http://aimsciences.org/article/doi/10.3934/mfc.2018010
Timestamp: 2019-04-24 19:48:52+00:00

Document:
Online social networks have seen an exponential growth in number of users and activities recently. The rapid proliferation of online social networks provides rich data and infinite possibilities for us to analyze and understand the complex inherent mechanism which governs the evolution of the new online world. This paper summarizes the state-of-art research results on social influence analysis in a broad sense. First, we review the development process of influence analysis in social networks based on several basic conceptions and features in a social aspect. Then the online social networks are discussed. After describing the classical models which simulate the influence spreading progress, we give a bird's eye view of the up-to-date literatures on influence diffusion models and influence maximization approaches. Third, we present the applications including web services, marketing, and advertisement services which based on the influence analysis. At last, we point out the research challenges and opportunities in this area for both industry and academia reference.
Keywords: Influence analysis, graph theory, network topology.
Mathematics Subject Classification: Primary: 68R10, 68W01; Secondary: 68W25.
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Figure 8. Influence Diffusion Processing 1.
Figure 9. Influence Diffusion Processing 2.

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