… Influence maximization is the problem of finding a small subset of … social network that could
maximize the spread of influence. In this paper, we study the efficient influence maximization …

… While the single-player influence maximization problem is APX-hard in general [3], special
… Here, we will give an FPTAS for the influence maximization problem for bi-directed trees. (…

… Community-diversified Influence Maximization (CDIM) … be maximized at the end of propagation
process. This work proposes a metric to measure the community-diversified influence and …

… influence maximization, we focus on maximizing the expect number of positive nodes in the
network … To approximate the actual expected influence within the social network, we propose …

… influence in the network is maximized. In this paper, we study influence maximization in the
… the behavior of influence propagation in social networks. We first show that computing exact …

… In this paper, we study a new problem on social network influence maximization. The … top-k
most influential nodes for the user. Different from existing influence maximization works which …

… of k seed nodes in a social network to maximize their influence spread — the expected total
… certain influence diffusion models. In particular, we study influence maximization under the …

… In this paper we made a first attempt to tackle the influence maximization problem in social
networks by using Genetic algorithms. We performed an experimental campaign on two …

… —We observe that nodes in social networks naturally cluster together. This finding prompts
… for the influence maximization problem, namely, community-based influence maximization (…

… influences in social networks is very important. Hence, the diffusion model of influence is
another issue for the influence maximization … predictions of the future behavior of the network. …