New trends in influence maximization models
نویسندگان
چکیده
The growing popularity of social networks is providing a promising opportunity for different practical applications. influence analysis an essential technique supporting the understanding real-life activities. Accordingly, certain reviews and surveys have been presented, focusing on models, methods, evaluation aspects related to analysis. However, ultimate goal that background methods developed in research could be employed real In this context, still remains number challenges including privacy massive recently mentioned by researchers. Motivated from these facts, paper we provide state-of-the-art survey techniques addressing challenges. detailed survey, divide diffusion models into two categories, individual group node-based models. Our primary focus investigate compare them according above categories. sequel, especially further overview existing maximization under protection. recent advanced applications are also surveyed. end, open issues discussed enable researchers better present scenario suggest several potential future directions maximization. • A comprehensive literature review pertinent studies taxonomy node group-based Parallel approaches their illustrated. main contribution highlight trends Challenges/limitations perspective direction discussed.
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ژورنال
عنوان ژورنال: Computer Science Review
سال: 2021
ISSN: ['1876-7745', '1574-0137']
DOI: https://doi.org/10.1016/j.cosrev.2021.100393