Titlebook: Collaborative Computing: Networking, Applications and Worksharing; 14th EAI Internation Honghao Gao,Xinheng Wang,Muddesar Iqbal Conference

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Genders and Sexualities in History a set of . users that can maximize the expected influence, which is known as Influence Maximization (IM) problem. In this paper, we incorporate . of users and ., including . and . of influence diffusion, in IM problem and propose . (CTVMT) problem to find the most cost-effective seed users who can