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A Generalized Fractional Program for Maximizing Content Popularity in Online Social Networks

Reiffers-Masson, Alexandre and Hayel, Yezekael and Altman, Eitan and Marrel, Guillaume (2018) A Generalized Fractional Program for Maximizing Content Popularity in Online Social Networks. In: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), AUG 28-31, 2018, Barcelona, SPAIN, pp. 869-872.

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Official URL: https://doi.org/10.1109/ASONAM.2018.8508480

Abstract

In this paper, we consider a ``generalized'' fractional program in order to solve a popularity optimization problem in which a source of contents controls the topics of her contents and the rate with which posts are sent to a time line. The objective of the source is to maximize its overall popularity in an Online Social Network (OSN). We propose an efficient algorithm that converges to the optimal solution of the Popularity maximization problem.

Item Type: Conference Proceedings
Additional Information: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, SPAIN, AUG 28-31, 2018
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Depositing User: Francis Jayakanth
Date Deposited: 07 Feb 2019 08:55
Last Modified: 07 Feb 2019 08:55
URI: http://eprints.iisc.ac.in/id/eprint/61668

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