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Think Globally, Act Locally: On the Optimal Seeding for Nonsubmodular Influence Maximization
<span title="2019-09-19">2019</span>
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<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gdc7gjvgv5hd7mr5o3uwxvngwu" style="color: black;">International Workshop on Approximation Algorithms for Combinatorial Optimization</a>
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<span title="2020-03-23">2020</span>
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<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.10393v1">arXiv:2003.10393v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tqd3kehtwzcbhku4bbouddgpoy">fatcat:tqd3kehtwzcbhku4bbouddgpoy</a> </span>
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In the influence maximization problem, one chooses a fixed number of initial seeds in a social network to maximize the spread of their influence. ...
We study the r-complex contagion influence maximization problem. ...
market to drive broader success (think globally) rather than to initially attempt a scattershot approach (act globally). ...
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