Amit Goyal

  1. Approximation Analysis of Influence Spread in Social Networks.

    Authors: Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan
    Subjects: Discrete Mathematics
    Abstract

    Ever since Kempe, Klienberg and Tardos (KKT) published their seminal paper on
    maximizing the spread of influence in a social network, there has been
    substantial work in this area. In the context of propagations in a social
    graph, we can identify three orthogonal dimensions -- the number of seed nodes
    activated at the beginning (known as budget), the (expected) number of
    activated nodes at the end of the propagation (known as spread or coverage),
    and the time taken for the propagation. We can constrain one or two of these
    and try to optimize the third.

Syndicate content