3 citations · 6 across the 20 of their papers we have counts for
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A Community-Aware Framework for Influence Maximization with Explicit Accounting for Inter-Community Influence
Eliot W. Robson, Abhishek K. Umrawal
Influence Maximization (IM) seeks to identify a small set of seed nodes in a social network to maximize expected information spread under a diffusion model. While community-based a…
A Pressure-Based Diffusion Model for Influence Maximization on Social Networks
Curt Stutsman, Eliot W. Robson, Abhishek K. Umrawal
In many real-world scenarios, an individual's local social network carries significant influence over the opinions they form and subsequently propagate. In this paper, we propose a…
Fractional Budget Allocation for Influence Maximization under General Marketing Strategies
Akhil Bhimaraju, Eliot W. Robson, Lav R. Varshney +1
We consider the fractional influence maximization problem, i.e., identifying users on a social network to be incentivized with potentially partial discounts to maximize the influen…
CyNetDiff -- A Python Library for Accelerated Implementation of Network Diffusion Models
Eliot W. Robson, Dhemath Reddy, Abhishek K. Umrawal
In recent years, there has been increasing interest in network diffusion models and related problems. The most popular of these are the independent cascade and linear threshold mod…
A Community-Aware Framework for Social Influence Maximization
Abhishek K. Umrawal, Christopher J. Quinn, Vaneet Aggarwal
We consider the problem of Influence Maximization (IM), the task of selecting seed nodes in a social network such that the expected number of nodes influenced is maximized. We…