Given the popularity of the viral marketing campaign in online social networks, finding a
computationally efficient method to identify a set of most influential nodes so as to compete …

Influence maximization is the problem of finding a small subset of nodes in a network that
can maximize the diffusion of information. Recently, it has also found application in HIV …

This paper focuses on new challenges in influence maximization inspired by non-profits' use
of social networks to effect behavioral change in their target populations. Influence …

Influence maximization (IM) is the problem of finding a small subset of nodes (seed nodes)
in a social network that could maximize the spread of influence. Despite the progress …

In this paper, we study the Multi-Round Influence Maximization (MRIM) problem, where
influence propagates in multiple rounds independently from possibly different seed sets, and …

The problem of influence maximization (IM) has been extensively studied in recent years
and has many practical applications such as social advertising and viral marketing. Given …

We define the new Targeted and Budgeted Influence Maximization under Deterministic
Linear Threshold Model problem and develop the novel and scalable TArgeted and …

Influence maximization problem attempts to find a small subset of nodes in a social network
that makes the expected influence maximized, which has been researched intensively …

Existing studies on influence maximization (IM) mainly focus on activating a set of influential
users (seed nodes). Originated from the seed nodes' promotion actions (eg, posting an …

With the proliferation of graph applications in social network analysis, biological networks,
WWW and many other areas, a great demand of efficient and scalable algorithms for graph …