In this paper, we consider how to maximize users' influence in Online Social Networks (OSNs) by exploiting social relationships only. Our first contribution is to extend to OSNs the model of Kempe et al. [1] on the propagation of information in a social network and to show that a greedy algorithm is a good approximation of the optimal algorithm...
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May 2, 2014 (v1)Conference paperUploaded on: April 5, 2025
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December 12, 2013 (v1)Report
In this paper, we consider how to maximize users' influence in Online Social Networks (OSNs). More specifically, we study how social relationships impact influence in both directed OSNs (such as Twitter or Google+) and indirected ones (such as Facebook). Our problem introduces some new twists in comparison to the classic influence maximization...
Uploaded on: April 5, 2025