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Think Globally, Act Locally: On the Optimal Seeding for Nonsubmodular Influence Maximization

Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu, Michael Wagner
<span title="2019-09-19">2019</span> <i > <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gdc7gjvgv5hd7mr5o3uwxvngwu" style="color: black;">International Workshop on Approximation Algorithms for Combinatorial Optimization</a> </i> &nbsp;
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).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4230/lipics.approx-random.2019.39">doi:10.4230/lipics.approx-random.2019.39</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/approx/SchoenebeckTY19.html">dblp:conf/approx/SchoenebeckTY19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6l3gcgkpezgbvayiwf2ylkamhy">fatcat:6l3gcgkpezgbvayiwf2ylkamhy</a> </span>
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