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A Multi-phase Approach for Improving Information Diffusion in Social Networks

By Swapnil Dhamal, KJ Prabuchandran and Y Narahari


For maximizing influence spread in a social network, given a certain budget on the number of seed nodes, we investigate the effects of selecting and activating the seed nodes in multiple phases. In particular, we formulate an appropriate objective function for two-phase influence maximization under the independent cascade model, investigate its properties, and propose algorithms for determining the seed nodes in the two phases. We also study the problem of determining an optimal budget-split and delay between the two phases

Topics: Computer Science & Automation
Year: 2015
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