113 citations · 1k across the 66 of their papers we have counts for
10 papers · 1 filter
Recurrent Poisson Factorization for Temporal Recommendation
Seyed Abbas Hosseini, Keivan Alizadeh, Ali Khodadadi +4
Poisson factorization is a probabilistic model of users and items for recommendation systems, where the so-called implicit consumer data is modeled by a factorized Poisson distribu…
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…
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…
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…
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,…
On The Network You Keep: Analyzing Persons of Interest using Cliqster
Saber Shokat Fadaee, Mehrdad Farajtabar, Ravi Sundaram +2
Our goal is to determine the structural differences between different categories of networks and to use these differences to predict the network category. Existing work on this top…
Correlated Cascades: Compete or Cooperate
Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar +2
In real world social networks, there are multiple cascades which are rarely independent. They usually compete or cooperate with each other. Motivated by the reinforcement theory in…
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
Mehrdad Farajtabar, Yichen Wang, Manuel Gomez Rodriguez +3
Information diffusion in online social networks is affected by the underlying network topology, but it also has the power to change it. Online users are constantly creating new lin…
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades
Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Nan Du +3
When a piece of malicious information becomes rampant in an information diffusion network, can we identify the source node that originally introduced the piece into the network and…
Shaping Social Activity by Incentivizing Users
Mehrdad Farajtabar, Nan Du, Manuel Gomez Rodriguez +3
Events in an online social network can be categorized roughly into endogenous events, where users just respond to the actions of their neighbors within the network, or exogenous ev…