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MLPR: Efficient influence maximization in linear threshold propagation model using linear programming
Influence maximization is an important research topic in social networks that has different applications such as analyzing spread of rumors, interest, adoption of innovations, and feed ranking. The goal is to ...
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Article
Solving submodular text processing problems using influence graphs
Submodular functions appear in a considerable number of important natural language processing problems such as text summarization and dataset selection. Current graph-based approaches to solving such problems ...