Timezone: »
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 events, where users take actions due to drives external to the network. How much external drive should be provided to each user, such that the network activity can be steered towards a target state? In this paper, we model social events using multivariate Hawkes processes, which can capture both endogenous and exogenous event intensities, and derive a time dependent linear relation between the intensity of exogenous events and the overall network activity. Exploiting this connection, we develop a convex optimization framework for determining the required level of external drive in order for the network to reach a desired activity level. We experimented with event data gathered from Twitter, and show that our method can steer the activity of the network more accurately than alternatives.
Author Information
Mehrdad Farajtabar (Georgia Tech)
Nan Du (Georgia Tech)
Manuel Gomez Rodriguez (Max Planck Institute for Software Systems)
Isabel Valera (UC3M)
Hongyuan Zha (Georgia Tech)
Le Song (Georgia Institute of Technology)
More from the Same Authors
-
2021 : Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning »
Jiani Huang · Ziyang Li · Binghong Chen · Karan Samel · Mayur Naik · Le Song · Xujie Si -
2021 : Large Scale Coordination Transfer for Cooperative Multi-Agent Reinforcement Learning »
Ethan Wang · Binghong Chen · Le Song -
2021 : Reinforcement Learning Under Algorithmic Triage »
Eleni Straitouri · Adish Singla · Vahid Balazadeh Meresht · Manuel Rodriguez -
2022 Poster: Counterfactual Temporal Point Processes »
Kimia Noorbakhsh · Manuel Rodriguez -
2023 Poster: xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data »
Jing Gong · Minsheng Hao · Xin Zeng · Chiming Liu · Jianzhu Ma · Xingyi Cheng · Taifeng Wang · Xuegong Zhang · Le Song -
2023 Poster: Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization »
Ruijia Wang · YiWu Sun · Yujie Luo · Cheng Yang · Shaochuan Li · Xingyi Cheng · Hui Li · Chuan Shi · Le Song -
2023 Poster: Finding Counterfactually Optimal Action Sequences in Continuous State Spaces »
Stratis Tsirtsis · Manuel Rodriguez -
2023 Poster: Human-Aligned Calibration for AI-Assisted Decision Making »
Nina Corvelo Benz · Manuel Rodriguez -
2022 Spotlight: Lightning Talks 1A-3 »
Kimia Noorbakhsh · Ronan Perry · Qi Lyu · Jiawei Jiang · Christian Toth · Olivier Jeunen · Xin Liu · Yuan Cheng · Lei Li · Manuel Rodriguez · Julius von Kügelgen · Lars Lorch · Nicolas Donati · Lukas Burkhalter · Xiao Fu · Zhongdao Wang · Songtao Feng · Ciarán Gilligan-Lee · Rishabh Mehrotra · Fangcheng Fu · Jing Yang · Bernhard Schölkopf · Ya-Li Li · Christian Knoll · Maks Ovsjanikov · Andreas Krause · Shengjin Wang · Hong Zhang · Mounia Lalmas · Bolin Ding · Bo Du · Yingbin Liang · Franz Pernkopf · Robert Peharz · Anwar Hithnawi · Julius von Kügelgen · Bo Li · Ce Zhang -
2022 Spotlight: Counterfactual Temporal Point Processes »
Kimia Noorbakhsh · Manuel Rodriguez -
2022 Poster: Uncovering the Structural Fairness in Graph Contrastive Learning »
Ruijia Wang · Xiao Wang · Chuan Shi · Le Song -
2021 Workshop: Human Centered AI »
Michael Muller · Plamen P Angelov · Shion Guha · Marina Kogan · Gina Neff · Nuria Oliver · Manuel Rodriguez · Adrian Weller -
2021 : Invited Talk: Causality and fairness in ML: promises, challenges & open questions »
Isabel Valera -
2021 Poster: A Biased Graph Neural Network Sampler with Near-Optimal Regret »
Qingru Zhang · David Wipf · Quan Gan · Le Song -
2021 Poster: Locality Sensitive Teaching »
Zhaozhuo Xu · Beidi Chen · Chaojian Li · Weiyang Liu · Le Song · Yingyan Lin · Anshumali Shrivastava -
2021 Poster: Multi-task Learning of Order-Consistent Causal Graphs »
Xinshi Chen · Haoran Sun · Caleb Ellington · Eric Xing · Le Song -
2021 Poster: RoMA: Robust Model Adaptation for Offline Model-based Optimization »
Sihyun Yu · Sungsoo Ahn · Le Song · Jinwoo Shin -
2021 Poster: Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators »
Qitian Wu · Rui Gao · Hongyuan Zha -
2021 Poster: Differentiable Learning Under Triage »
Nastaran Okati · Abir De · Manuel Rodriguez -
2021 Poster: Counterfactual Explanations in Sequential Decision Making Under Uncertainty »
Stratis Tsirtsis · Abir De · Manuel Rodriguez -
2021 Poster: Random Noise Defense Against Query-Based Black-Box Attacks »
Zeyu Qin · Yanbo Fan · Hongyuan Zha · Baoyuan Wu -
2021 Poster: Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning »
Jiani Huang · Ziyang Li · Binghong Chen · Karan Samel · Mayur Naik · Le Song · Xujie Si -
2020 Poster: Understanding Deep Architecture with Reasoning Layer »
Xinshi Chen · Yufei Zhang · Christoph Reisinger · Le Song -
2020 Poster: Learning to Incentivize Other Learning Agents »
Jiachen Yang · Ang Li · Mehrdad Farajtabar · Peter Sunehag · Edward Hughes · Hongyuan Zha -
2020 Poster: Network Diffusions via Neural Mean-Field Dynamics »
Shushan He · Hongyuan Zha · Xiaojing Ye -
2020 Poster: Decisions, Counterfactual Explanations and Strategic Behavior »
Stratis Tsirtsis · Manuel Gomez Rodriguez -
2020 Poster: Differentiable Top-k with Optimal Transport »
Yujia Xie · Hanjun Dai · Minshuo Chen · Bo Dai · Tuo Zhao · Hongyuan Zha · Wei Wei · Tomas Pfister -
2020 Poster: The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models »
Yingxiang Yang · Negar Kiyavash · Le Song · Niao He -
2020 Poster: Learning Strategic Network Emergence Games »
Rakshit Trivedi · Hongyuan Zha -
2020 Spotlight: The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models »
Yingxiang Yang · Negar Kiyavash · Le Song · Niao He -
2019 Workshop: Learning with Temporal Point Processes »
Manuel Rodriguez · Le Song · Isabel Valera · Yan Liu · Abir De · Hongyuan Zha -
2019 Workshop: Workshop on Human-Centric Machine Learning »
Plamen P Angelov · Nuria Oliver · Adrian Weller · Manuel Rodriguez · Isabel Valera · Silvia Chiappa · Hoda Heidari · Niki Kilbertus -
2019 Poster: Neural Similarity Learning »
Weiyang Liu · Zhen Liu · James Rehg · Le Song -
2019 Poster: Meta Architecture Search »
Albert Shaw · Wei Wei · Weiyang Liu · Le Song · Bo Dai -
2019 Poster: Exponential Family Estimation via Adversarial Dynamics Embedding »
Bo Dai · Zhen Liu · Hanjun Dai · Niao He · Arthur Gretton · Le Song · Dale Schuurmans -
2019 Poster: Teaching Multiple Concepts to a Forgetful Learner »
Anette Hunziker · Yuxin Chen · Oisin Mac Aodha · Manuel Gomez Rodriguez · Andreas Krause · Pietro Perona · Yisong Yue · Adish Singla -
2019 Poster: Retrosynthesis Prediction with Conditional Graph Logic Network »
Hanjun Dai · Chengtao Li · Connor Coley · Bo Dai · Le Song -
2019 Poster: Meta Learning with Relational Information for Short Sequences »
Yujia Xie · Haoming Jiang · Feng Liu · Tuo Zhao · Hongyuan Zha -
2018 : Manuel Gomez Rodriguez - Enhancing the Accuracy and Fairness of Human Decision Making »
Manuel Rodriguez -
2018 Poster: Learning Loop Invariants for Program Verification »
Xujie Si · Hanjun Dai · Mukund Raghothaman · Mayur Naik · Le Song -
2018 Spotlight: Learning Loop Invariants for Program Verification »
Xujie Si · Hanjun Dai · Mukund Raghothaman · Mayur Naik · Le Song -
2018 Poster: Deep Reinforcement Learning of Marked Temporal Point Processes »
Utkarsh Upadhyay · Abir De · Manuel Gomez Rodriguez -
2018 Poster: Coupled Variational Bayes via Optimization Embedding »
Bo Dai · Hanjun Dai · Niao He · Weiyang Liu · Zhen Liu · Jianshu Chen · Lin Xiao · Le Song -
2018 Poster: Enhancing the Accuracy and Fairness of Human Decision Making »
Isabel Valera · Adish Singla · Manuel Gomez Rodriguez -
2018 Poster: Learning Temporal Point Processes via Reinforcement Learning »
Shuang Li · Shuai Xiao · Shixiang Zhu · Nan Du · Yao Xie · Le Song -
2018 Spotlight: Learning Temporal Point Processes via Reinforcement Learning »
Shuang Li · Shuai Xiao · Shixiang Zhu · Nan Du · Yao Xie · Le Song -
2018 Poster: Learning towards Minimum Hyperspherical Energy »
Weiyang Liu · Rongmei Lin · Zhen Liu · Lixin Liu · Zhiding Yu · Bo Dai · Le Song -
2017 : Learning from Conditional Distributions via Dual Embeddings (poster). »
Le Song -
2017 Poster: From Parity to Preference-based Notions of Fairness in Classification »
Muhammad Bilal Zafar · Isabel Valera · Manuel Rodriguez · Krishna Gummadi · Adrian Weller -
2017 Poster: A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering »
Hongteng Xu · Hongyuan Zha -
2017 Poster: Predicting User Activity Level In Point Processes With Mass Transport Equation »
Yichen Wang · Xiaojing Ye · Hongyuan Zha · Le Song -
2017 Poster: Learning Combinatorial Optimization Algorithms over Graphs »
Elias Khalil · Hanjun Dai · Yuyu Zhang · Bistra Dilkina · Le Song -
2017 Spotlight: Learning Combinatorial Optimization Algorithms over Graphs »
Elias Khalil · Hanjun Dai · Yuyu Zhang · Bistra Dilkina · Le Song -
2017 Poster: Deep Hyperspherical Learning »
Weiyang Liu · Yan-Ming Zhang · Xingguo Li · Zhiding Yu · Bo Dai · Tuo Zhao · Le Song -
2017 Poster: On the Complexity of Learning Neural Networks »
Le Song · Santosh Vempala · John Wilmes · Bo Xie -
2017 Spotlight: Deep Hyperspherical Learning »
Weiyang Liu · Yan-Ming Zhang · Xingguo Li · Zhiding Yu · Bo Dai · Tuo Zhao · Le Song -
2017 Spotlight: On the Complexity of Learning Neural Networks »
Le Song · Santosh Vempala · John Wilmes · Bo Xie -
2017 Poster: Wasserstein Learning of Deep Generative Point Process Models »
Shuai Xiao · Mehrdad Farajtabar · Xiaojing Ye · Junchi Yan · Xiaokang Yang · Le Song · Hongyuan Zha -
2016 Poster: Multistage Campaigning in Social Networks »
Mehrdad Farajtabar · Xiaojing Ye · Sahar Harati · Le Song · Hongyuan Zha -
2016 Poster: Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions »
Yichen Wang · Nan Du · Rakshit Trivedi · Le Song -
2016 Poster: Learning and Forecasting Opinion Dynamics in Social Networks »
Abir De · Isabel Valera · Niloy Ganguly · Sourangshu Bhattacharya · Manuel Gomez Rodriguez -
2015 Poster: Time-Sensitive Recommendation From Recurrent User Activities »
Nan Du · Yichen Wang · Niao He · Jimeng Sun · Le Song -
2015 Poster: Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients »
Bo Xie · Yingyu Liang · Le Song -
2015 Poster: Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression »
Yu-Ying Liu · Shuang Li · Fuxin Li · Le Song · James Rehg -
2015 Poster: COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution »
Mehrdad Farajtabar · Yichen Wang · Manuel Rodriguez · Shuang Li · Hongyuan Zha · Le Song -
2015 Oral: COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution »
Mehrdad Farajtabar · Yichen Wang · Manuel Rodriguez · Shuang Li · Hongyuan Zha · Le Song -
2015 Poster: M-Statistic for Kernel Change-Point Detection »
Shuang Li · Yao Xie · Hanjun Dai · Le Song -
2014 Poster: Active Learning and Best-Response Dynamics »
Maria-Florina F Balcan · Christopher Berlind · Avrim Blum · Emma Cohen · Kaushik Patnaik · Le Song -
2014 Poster: Learning Time-Varying Coverage Functions »
Nan Du · Yingyu Liang · Maria-Florina F Balcan · Le Song -
2014 Poster: General Table Completion using a Bayesian Nonparametric Model »
Isabel Valera · Zoubin Ghahramani -
2014 Poster: Scalable Kernel Methods via Doubly Stochastic Gradients »
Bo Dai · Bo Xie · Niao He · Yingyu Liang · Anant Raj · Maria-Florina F Balcan · Le Song -
2013 Poster: Robust Low Rank Kernel Embeddings of Multivariate Distributions »
Le Song · Bo Dai -
2013 Poster: Scalable Influence Estimation in Continuous-Time Diffusion Networks »
Nan Du · Le Song · Manuel Gomez Rodriguez · Hongyuan Zha -
2013 Oral: Scalable Influence Estimation in Continuous-Time Diffusion Networks »
Nan Du · Le Song · Manuel Gomez Rodriguez · Hongyuan Zha -
2012 Workshop: Confluence between Kernel Methods and Graphical Models »
Le Song · Arthur Gretton · Alexander Smola -
2012 Workshop: Spectral Algorithms for Latent Variable Models »
Ankur P Parikh · Le Song · Eric Xing -
2012 Poster: Bayesian Nonparametric Modeling of Suicide Attempts »
Francisco Ruiz · Isabel Valera · Carlos Blanco · Fernando Perez-Cruz -
2012 Poster: Learning Networks of Heterogeneous Influence »
Nan Du · Le Song · Alexander Smola · Ming Yuan -
2012 Spotlight: Bayesian Nonparametric Modeling of Suicide Attempts »
Francisco Ruiz · Isabel Valera · Carlos Blanco · Fernando Perez-Cruz -
2012 Spotlight: Learning Networks of Heterogeneous Influence »
Nan Du · Le Song · Alexander Smola · Ming Yuan -
2012 Poster: Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation »
Christian Mayr · Paul Stärke · Johannes Partzsch · Love Cederstroem · Rene Schüffny · Yao Shuai · Nan Du · Heidemarie Schmidt -
2009 Poster: Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora »
Shuang Yang · Hongyuan Zha · Bao-Gang Hu -
2008 Poster: Convergence and Rate of Convergence of A Manifold-Based Dimension Reduction »
Andrew Smith · Xiaoming Huo · Hongyuan Zha -
2007 Poster: A General Boosting Method and its Application to Learning Ranking Functions for Web Search »
Zhaohui Zheng · Hongyuan Zha · Tong Zhang · Olivier Chapelle · Keke Chen · Gordon Sun