New trends in influence maximization models
Witryna2 lut 2024 · Starting with the earliest studies showing that the spread of new trends, information, and innovations is closely related to the social influence exerted on people by their social networks, the research on social influence theory took off, providing remarkable evidence on social influence induced viral phenomena. WitrynaAzaouzi, M., Mnasri, W., & Ben Romdhane, L. (2024). New trends in influence maximization models. Computer Science Review, 40, 100393. …
New trends in influence maximization models
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Witryna27 sty 2024 · Abstract. In this paper we introduce a fuzzy propagation model to deal with the influence maximization (IM) problem. The IM problem for the most of existing … Witryna18 paź 2024 · The influence maximization problem believes that the top-k nodes with strong propagation ability are influential ... New trends in influence maximization …
Witryna1 paź 2024 · Influence maximization is a classic optimization problem to find a subset of seed nodes in a social network that has a maximum influence with respect to a …
Witryna1 mar 2024 · We investigate influence-diffusion modeling and maximization in the setting of viral marketing, in which a node’s influence is measured by the number of … WitrynaIn this paper we introduce a fuzzy propagation model to deal with the influence maximization (IM) problem. The IM problem for the most of existing propagation model is NP-hard. Here, we model social networks as fuzzy directed graphs to propose an application-oriented propagation process.
Witryna1 maj 2024 · A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization. The traditional algorithms based on iterative search are abandoned and the recent development of ML-based methods, especially Deep Reinforcement Learning, are reviewed to solve the IM problem and other variants in social networks.
Witryna5 wrz 2024 · This is the problem of influence blocking maximization (IBM). For a given diffusion model, the goal of IBM problem is to find a set of positive seeds to block the … herman miller country of originWitryna29 lis 2024 · 2024. TLDR. The influence maximization problem is investigated as a discrete optimization issue on social networks and the creation of precise techniques for resolving massive cases near the optimal and will provide two classical diffusion models describing the propagation of influence in networks. PDF. herman miller cosm low back chairWitryna1 wrz 2024 · Based on different influence propagation models, many new models and methods for influence maximization on networks have been proposed. As an … herman miller cosmoWitryna31 sie 2024 · The Perturbation Interval model is proposed as a framework to characterize the stability of Influence Maximization against noise in the inferred diffusion network, and a Robust influence Maximization framework is defined wherein an algorithm is presented with a set of influence functions. In the well-studied Influence … herman miller cosm review 6\\u0027+Witryna1 maj 2024 · A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization. The traditional algorithms based on iterative search are abandoned and … maverick gas station appWitryna20 cze 2015 · A simple greedy adaptive seeding strategy finds an effective solution with a provable performance guarantee and the results herein demonstrate the superiority of the adaptive seeded strategies to other baseline methods. For the purpose of propagating information and ideas through a social network, a seeding strategy aims to find a … maverick gas station airway heights waWitryna21 maj 2016 · This paper introduces a new Online Competitive Influence Maximization problem, where two competing items propagate in the same network and influence probabilities on edges are unknown, and adapts the combinatorial multi-armed bandit framework for the OCIM problem, but unlike the non-competitive setting, the important … herman miller cubicle parts and accessories