Results 21 to 30 of about 6,507,474 (284)
Overexposure-Aware Influence Maximization [PDF]
ACM Transactions on Internet Technology, 2020 Viral marketing campaigns are often negatively affected by overexposure. Overexposure occurs when users become less likely to favor a promoted product after receiving information about the product from too large a fraction of their friends. Yet, existing influence diffusion models do not take overexposure into account, effectively overestimating the ...
Grigorios Loukides +2 more
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Influence maximization: Divide and conquer
Physical Review E, 2023 The problem of influence maximization, i.e., finding the set of nodes having maximal influence on a network, is of great importance for several applications. In the past two decades, many heuristic metrics to spot influencers have been proposed. Here, we introduce a framework to boost the performance of any such metric.
Siddharth Patwardhan +2 more
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Dynamic Influence Maximization
CoRR, 2021 We initiate a systematic study on $\mathit{dynamic}$ $\mathit{influence}$ $\mathit{maximization}$ (DIM). In the DIM problem, one maintains a seed set $S$ of at most $k$ nodes in a dynamically involving social network, with the goal of maximizing the expected influence spread while minimizing the amortized updating cost. We consider two evolution models.
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IEEE Access, 2020 Influence maximization is to select k nodes from social networks to maximize the expected number of nodes activated by these selected nodes. Influence maximization problem plays a vital role in commercial marketing, news propagation, rumor control and ...
Liqing Qiu +3 more
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Maximal Clique Based Influence Maximization in Networks [PDF]
Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020 Influence maximization is a fundamental problem in several real life applications such as viral marketing, recommendation system, collaboration and social networks. Maximizing influence spreading in a given network aims to find the initially active vertex set of size k called seed nodes (or initial spreaders (In this paper, we use seed set and initial ...
Mhadhbi N, Raddaoui B.
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Influence maximization diffusion models based on engagement and activeness on instagram
Journal of King Saud University: Computer and Information Sciences, 2022 An influencer is an impactful content creator on social media. The emergence of influencers led to increased influencer marketing. The task of picking the right influencers is widely studied through influence maximization (IM).
Kristo Radion Purba +2 more
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Influence Maximization With Visual Analytics
IEEE Transactions on Visualization and Computer Graphics, 2022 In social networks, individuals' decisions are strongly influenced by recommendations from their friends, acquaintances, and favorite renowned personalities. The popularity of online social networking platforms makes them the prime venues to advertise products and promote opinions. The Influence Maximization (IM) problem entails selecting a seed set of
Alessio Arleo +4 more
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Geo-Social Influence Spanning Maximization [PDF]
, 2017 Influence maximization is a recent but well-studied problem which helps identify a small set of users that are most likely to “influence” the maximum number of users in a social network.
J. Shane Culpepper +11 more
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A Novel Nested Q-Learning Method to Tackle Time-Constrained Competitive Influence Maximization
IEEE Access, 2019 Time plays a critical role in competitive influence maximization. Companies aim to promote their products before certain events, such as Christmas Eve or music concerts, to gain more benefit under competitions from other companies.
Khurshed Ali, Chih-Yu Wang, Yi-Shin Chen
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CM2D: Cost Minimization Under the Competitive Market in Dynamic Social Networks
IEEE Access, 2020 The Reverse Influence Maximization (RIM) model deals with the viral marketing cost minimization in social networks. On the other hand, the Influence maximization (IM) technique finds the small number of influential users that maximize the viral marketing
Ashis Talukder, Choong Seon Hong
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