110 research outputs found
An Integrated Framework for Competitive Multi-channel Marketing of Multi-featured Products
For any company, multiple channels are available for reaching a population in
order to market its products. Some of the most well-known channels are (a) mass
media advertisement, (b) recommendations using social advertisement, and (c)
viral marketing using social networks. The company would want to maximize its
reach while also accounting for simultaneous marketing of competing products,
where the product marketings may not be independent. In this direction, we
propose and analyze a multi-featured generalization of the classical linear
threshold model. We hence develop a framework for integrating the considered
marketing channels into the social network, and an approach for allocating
budget among these channels
Stability of Influence Maximization
The present article serves as an erratum to our paper of the same title,
which was presented and published in the KDD 2014 conference. In that article,
we claimed falsely that the objective function defined in Section 1.4 is
non-monotone submodular. We are deeply indebted to Debmalya Mandal, Jean
Pouget-Abadie and Yaron Singer for bringing to our attention a counter-example
to that claim.
Subsequent to becoming aware of the counter-example, we have shown that the
objective function is in fact NP-hard to approximate to within a factor of
for any .
In an attempt to fix the record, the present article combines the problem
motivation, models, and experimental results sections from the original
incorrect article with the new hardness result. We would like readers to only
cite and use this version (which will remain an unpublished note) instead of
the incorrect conference version.Comment: Erratum of Paper "Stability of Influence Maximization" which was
presented and published in the KDD1
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