activity
20102017
most citedApproximation Analysis of Influence Spread in Social Networks

20 citations · 45 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SI2017★ 5 cited

Refutations on "Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study"

Wei Lu, Xiaokui Xiao, Amit Goyal +2

In a recent SIGMOD paper titled "Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study", Arora et al. [1] undertake a performance benchmarking study of seve…

cs.SI2014★ 9 cited

Viral Marketing Meets Social Advertising: Ad Allocation with Minimum Regret

Cigdem Aslay, Wei Lu, Francesco Bonchi +2

In this paper, we study the problem of allocating ads to users through the viral-marketing lens. Advertisers approach the host with a budget in return for the marketing campaign se…

cs.SI2013

Validating Network Value of Influencers by means of Explanations

Glenn S. Bevilacqua, Shealen Clare, Amit Goyal +1

Recently, there has been significant interest in social influence analysis. One of the central problems in this area is the problem of identifying influencers, such that by convinc…

cs.DB2011★ 11 cited

A Data-Based Approach to Social Influence Maximization

Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan

Influence maximization is the problem of finding a set of users in a social network, such that by targeting this set, one maximizes the expected spread of influence in the network.…

cs.DM2010★ 20 cited

Approximation Analysis of Influence Spread in Social Networks

Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan +1

In the context of influence propagation in a social graph, we can identify three orthogonal dimensions - the number of seed nodes activated at the beginning (known as budget), the…