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Continuous Influence Maximization
ACM Transactions on Knowledge Discovery from Data, 2020Imagine we are introducing a new product through a social network, where we know for each user in the network the function of purchase probability with respect to discount. Then, what discounts should we offer to those social network users so that, under a predefined budget, the adoption of the product is maximized in expectation?
Yu Yang 0001 +3 more
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Large-scale influence maximization with the influence maximization benchmarker suite
Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2021Maximizing the influence of a fixed size seed set in a graph was investigated intensively in the past decade. Two very relevant questions are 1) how to solve the influence maximization problem on very large graphs within short time and 2) how to compare possible findings with the current state-of-the-art in a fair manner.
Heiko Geppert +2 more
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Adaptive Influence Maximization
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019Information diffusion and social influence are more and more present in today's Web ecosystem. Having algorithms that optimize the presence and message diffusion on social media is indeed crucial to all actors (media companies, political parties, corporations, etc.) who advertise on the Web.
Bogdan Cautis +2 more
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Collective Influence Maximization
Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019The omnipresence of cascading process in complex phenomena makes the identification of a small set of influential units, which is widely believed to trigger the outbreak, always an crucial issue in network science. Formulated as Influence maximization (IM) in 2003, this NP-hard problem has received a multitude of heuristic solutions with diverse angles.
Xudong Wu +5 more
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Influence maximization with partial feedback
Operations Research Letters, 2020Abstract The goal of Influence maximization (IM) is to select a set of most influential users in a social network subject to a budget constraint. In this work, we propose to study the adaptive IM problem under partial-feedback model. Our main contribution in this paper is to introduce a novel adaptive policy with bounded approximation ratio. One nice
Shaojie Tang 0001, Jing Yuan 0002
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No influence of ACTH on maximal performance
Psychopharmacology, 1995Although it is generally accepted in the sporting world that adrenocorticotropic hormones (ACTH) and corticosteroids enhance maximal performance, this claim has never been scientifically corroborated. In a counterbalanced, double-blind design, 1 mg ACTH or placebo was injected into 16 professional cyclists. They cycled for 1 h on a bicycle ergometer at
Soetens, Eric +2 more
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2017
This chapter describes the prerequisites—independence and expertise—that intermediaries must possess to perform their crucial functions, exert power over producers and consumers, and influence the market. Independence has structural, economic, and cognitive dimensions.
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This chapter describes the prerequisites—independence and expertise—that intermediaries must possess to perform their crucial functions, exert power over producers and consumers, and influence the market. Independence has structural, economic, and cognitive dimensions.
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Influence Maximization in Trajectory Databases
IEEE Transactions on Knowledge and Data Engineering, 2017In this paper, we study a novel problem of influence maximization in trajectory databases that is very useful in precise location-aware advertising. It finds $k$ best trajectories to be attached with a given advertisement and maximizes the expected influence among a large group of audience. We show that the problem is NP-hard and propose both exact and
Long Guo +4 more
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Banzhaf Index for Influence Maximization
2015Social media has changed the way people communicate with each other and has brought people together. Enterprises are increasingly using it as a medium for marketing activities. However, due to the size of these networks, marketers often look for key customers (influencers) to drive the campaign to the community.
Balaji Vasan Srinivasan, Arava Sai Kumar
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