Results 21 to 30 of about 36,296 (256)
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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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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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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Geodemographic Influence Maximization
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020 Given a set of locations in a city, on which ones should we place ads on so as to reach as many people as possible within a limited budget? Past research has addressed this question under the assumption that dense trajectory data are available to determine the reach of each ad.
Zhang, Kaichen +5 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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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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Context-based influence maximization with privacy protection in social networks
EURASIP Journal on Wireless Communications and Networking, 2019 As the increase of requirements of accessing and sharing information of people, large social networks have appeared. The influence maximization over social network has been a popular research topic, whose goal is to maximize the expected range of ...
Dong Jing, Ting Liu
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Knapsack-Based Reverse Influence Maximization for Target Marketing in Social Networks
IEEE Access, 2019 With the dramatic proliferation in recent years, the social networks have become a ubiquitous medium of marketing and the influence maximization (IM) technique, being such a viral marketing tool, has gained significant research interest in recent years ...
Ashis Talukder +4 more
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Near-Optimal Convergent Approach for Composed Influence Maximization Problem in Social Networks
IEEE Access, 2019 Crowd psychology is a critical factor when considering information diffusion, which has been modeled as composed influence. The composed influence is represented as a hyperedge in a graph model.
Jianming Zhu +3 more
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