activity
20122022
most citedLearning Combinatorial Optimization Algorithms over Graphs

1.1k citations · 5.5k across the 100 of their papers we have counts for

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Showing cs.SIShow all

12 papers · 1 filter

cs.SI2017★ 28 cited

Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks

Nan Du, Yingyu Liang, Maria-Florina Balcan +3

A typical viral marketing model identifies influential users in a social network to maximize a single product adoption assuming unlimited user attention, campaign budgets, and time…

cs.SI2016★ 32 cited

Distilling Information Reliability and Source Trustworthiness from Digital Traces

Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar +3

Online knowledge repositories typically rely on their users or dedicated editors to evaluate the reliability of their content. These evaluations can be viewed as noisy measurements…

cs.SI2016★ 30 cited

Multistage Campaigning in Social Networks

Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati +2

We consider the problem of how to optimize multi-stage campaigning over social networks. The dynamic programming framework is employed to balance the high present reward and large…

cs.SI2016★ 17 cited

Smart broadcasting: Do you want to be seen?

Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar +2

Many users in online social networks are constantly trying to gain attention from their followers by broadcasting posts to them. These broadcasters are likely to gain greater atten…

cs.SI2016★ 8 cited

A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop

Yichen Wang, Evangelos Theodorou, Apurv Verma +1

Recently, there is a surge of interest in using point processes to model continuous-time user activities. This framework has resulted in novel models and improved performance in di…

cs.SI2015★ 5 cited

A Continuous-time Mutually-Exciting Point Process Framework for Prioritizing Events in Social Media

Mehrdad Farajtabar, Safoora Yousefi, Long Q. Tran +2

The overwhelming amount and rate of information update in online social media is making it increasingly difficult for users to allocate their attention to their topics of interest,…