Location driven influence maximization: Online spread via offline deployment

Knowledge-Based Systems, pp. 30-41, 2019.

Cited by: 7|Bibtex|Views34|DOI:https://doi.org/10.1016/j.knosys.2018.12.003
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Other Links: dblp.uni-trier.de|academic.microsoft.com|www.sciencedirect.com

Abstract:

Existing works on influence maximization (IM) aim at finding influential online users as seed nodes. Originated from these seed nodes, large online influence spread can be triggered. However, such user-driven perspective limits the IM problem within the purely online environment. Due to the increasing interactions between the cyber world ...More

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