activity
20132021
most citedCumulative Effect in Information Diffusion: A Comprehensive Empirical Study on Microblogging Network

65 citations · 108 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SI2021★ 2 cited

Causal Inference for Influence Propagation -- Identifiability of the Independent Cascade Model

Shi Feng, Wei Chen

Independent cascade (IC) model is a widely used influence propagation model for social networks. In this paper, we incorporate the concept and techniques from causal inference to s…

cs.SI2020

Maximizing Social Welfare in a Competitive Diffusion Model

Prithu Banerjee, Wei Chen, Laks V. S. Lakshmanan

Influence maximization (IM) has garnered a lot of attention in the literature owing to applications such as viral marketing and infection containment. It aims to select a small num…

cs.LG2019★ 22 cited

Factorization Bandits for Online Influence Maximization

Qingyun Wu, Zhige Li, Huazheng Wang +2

We study the problem of online influence maximization in social networks. In this problem, a learner aims to identify the set of "best influencers" in a network by interacting with…

cs.SI2018★ 18 cited

Maximizing Welfare in Social Networks under a Utility Driven Influence Diffusion Model

Prithu Banerjee, Wei Chen, Laks V. S. Lakshmanan

Motivated by applications such as viral marketing, the problem of influence maximization (IM) has been extensively studied in the literature. The goal is to select a small number o…

cs.SI2016★ 1 cited

Boosting Information Spread: An Algorithmic Approach

Yishi Lin, Wei Chen, John C. S. Lui

The majority of influence maximization (IM) studies focus on targeting influential seeders to trigger substantial information spread in social networks. In this paper, we consider…

cs.SI2013★ 65 cited

Cumulative Effect in Information Diffusion: A Comprehensive Empirical Study on Microblogging Network

Peng Bao, Hua-Wei Shen, Wei Chen +1

Cumulative effect in social contagions underlies many studies on the spread of innovation, behaviors, and influence. However, few large-scale empirical studies are conducted to val…