%0 Journal Article
%T Influence maximisation in social networks: A target
%A Dong-Kyu Chae
%A Sang-Wook Kim
%A Yun-Yong Ko
%J Journal of Information Science
%@ 1741-6485
%D 2018
%R 10.1177/0165551517748289
%X Influence maximisation (IM) is the problem of finding a set of k-seed nodes that could maximize the amount of influence spread in a social network. In this article, we point out that the existing methods are taking the source-oriented estimation (SOE), which is the main reason of their failure in accurately estimating the amount of potential influence spread of an individual node. We propose a novel target-oriented estimation (TOE) that understands information diffusion more accurately as well as remedies the drawback of the existing methods. Our extensive experiments on four real-world datasets demonstrate that our proposed method outperforms the existing methods consistently with respect to the quality of the selected seed set
%K Influence maximisation
%K information diffusion
%K social network analysis
%U https://journals.sagepub.com/doi/full/10.1177/0165551517748289