Using Crowdsourced Data in Location-based Social Networks to Explore Influence Maximization JAVA
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Online social networks have gained significant popularity recently. The problem of influence maximization in online social networks has been extensively studied. However, in prior works, influence propagation in the physical world, which is also an indispensable factor, is not considered. The Location- Based Social Networks (LBSNs) are a special kind of online social networks in which people can share location-embedded information.