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- W2494911342 abstract "There exist two or more competing products in viral marketing, and the companies can exploit the social interactions of users to propagate the awareness of products. In this paper, we focus on selecting seeds for maximizing the competitive influence spread in social networks. First, we establish the possible graphs based on the propagation probability of edges, and then we use the competitive influence spread model (CISM) to model the competitive spread under the possible graph. Further, we consider the objective function of selecting k seeds of one product under the CISM when the seeds of another product have been known, which is monotone and submodular, and thus we use the CELF (cost-effective lazy forward) algorithm to accelerate the greedy algorithm that can approximate the optimal with 1 − 1/e. Experimental results verify the feasibility and effectiveness of our method." @default.
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- W2494911342 date "2016-01-01" @default.
- W2494911342 modified "2023-10-14" @default.
- W2494911342 title "Selecting Seeds for Competitive Influence Spread Maximization in Social Networks" @default.
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- W2494911342 doi "https://doi.org/10.1007/978-981-10-2053-7_53" @default.
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