P. Jeffrey Brantingham

According to our database, P. Jeffrey Brantingham authored at least 40 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Improving Event Definition Following For Zero-Shot Event Detection.

Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, Nanyun Peng

CoRR, 2024

The Pulse of Mood Online: Unveiling Emotional Reactions in a Dynamic Social Media Landscape.

Siyi Guo, Zihao He, Ashwin Rao, Fred Morstatter, P. Jeffrey Brantingham, Kristina Lerman

CoRR, 2024

STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models.

Mingyu Derek Ma, Xiaoxuan Wang, Po-Nien Kung, P. Jeffrey Brantingham, Nanyun Peng, Wei Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Rivalries, reputation, retaliation, and repetition: Testing plausible mechanisms for the contagion of violence between street gangs using relational event models.

Jason Gravel, Matthew Valasik, Joris Mulder, Roger Th. A. J. Leenders, Carter T. Butts, P. Jeffrey Brantingham, George E. Tita

Netw. Sci., June, 2023

Measuring Online Emotional Reactions to Offline Events.

Siyi Guo, Zihao He, Ashwin Rao, Eugene Jang, Yuanfeixue Nan, Fred Morstatter, P. Jeffrey Brantingham, Kristina Lerman

CoRR, 2023

Professional Basketball Player Behavior Synthesis via Planning with Diffusion.

Xiusi Chen, Wei-Yao Wang, Ziniu Hu, Curtis Chou, Lam Hoang, Kun Jin, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang

CoRR, 2023

STAR: Boosting Low-Resource Event Extraction by Structure-to-Text Data Generation with Large Language Models.

Mingyu Derek Ma, Xiaoxuan Wang, Po-Nien Kung, P. Jeffrey Brantingham, Nanyun Peng, Wei Wang

CoRR, 2023

Low-Cost Gunshot Detection System with Localization for Community Based Violence Interruption.

Isaac Manring, James H. Hill, George O. Mohler, P. Jeffrey Brantingham, Thomas Williams, Bruce White

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Intentional Youth Development Activities and Peer Effects in a Gang Prevention Program.

Haoran Jia, Haoyu Li, Xinyue Li, Xiaoxian Shen, Yichen Wang, Zichun Liao, Andrea L. Bertozzi, P. Jeffrey Brantingham, Jona Lelmi

Proceedings of the IEEE International Conference on Big Data, 2023

Hate speech and hate crimes: a data-driven study of evolving discourse around marginalized groups.

Malvina Bozhidarova, Jonathn Chang, Aaishah Ale-rasool, Yuxiang Liu, Chongyao Ma, Andrea L. Bertozzi, P. Jeffrey Brantingham, Junyuan Lin, Sanjukta Krishnagopal

Proceedings of the IEEE International Conference on Big Data, 2023

Measuring Online Emotional Reactions to Events.

Siyi Guo, Zihao He, Ashwin Rao, Eugene Jang, Yuanfeixue Nan, Fred Morstatter, P. Jeffrey Brantingham, Kristina Lerman

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022

Learning binary multi-scale games on networks.

Sixie Yu, P. Jeffrey Brantingham, Matthew Valasik, Yevgeniy Vorobeychik

Proceedings of the Uncertainty in Artificial Intelligence, 2022

ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games.

Xiusi Chen, Jyun-Yu Jiang, Kun Jin, Yichao Zhou, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Combining Dynamic Mode Decomposition and Difference-in-Differences in an Analysis of At-Risk Youth.

Marc Andrew Choi, Siyu Huang, Hengyuan Qi, Marco Scialanga, Emerson McMullen, Axel Sanchez Moreno, Yifei Lou, Andrea L. Bertozzi, P. Jeffrey Brantingham

Proceedings of the IEEE International Conference on Big Data, 2022

Knowledge Graphs of the QAnon Twitter Network.

Clay Adams, Malvina Bozhidarova, James Chen, Andrew Gao, Zhengtong Liu, J. Hunter Priniski, Junyuan Lin, Rishi Sonthalia, Andrea L. Bertozzi, P. Jeffrey Brantingham

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Mapping Moral Valence of Tweets Following The Killing of George Floyd.

J. Hunter Priniski, Negar Mokhberian, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman, Hongjing Lu, P. Jeffrey Brantingham

Proceedings of the Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021

Structural Stability of a Family of Group Formation Games.

Chenlan Wang, Mehrdad Moharrami, Kun Jin, David Kempe, P. Jeffrey Brantingham, Mingyan Liu

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

An Analysis of COVID-19 Knowledge Graph Construction and Applications.

Dominic Flocco, Bryce Palmer-Toy, Ruixiao Wang, Hongyu Zhu, Rishi Sonthalia, Junyuan Lin, Andrea L. Bertozzi, P. Jeffrey Brantingham

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives.

Hao Sha, Mohammad Al Hasan, George O. Mohler, P. Jeffrey Brantingham

Proceedings of the Workshop Proceedings of the 14th International AAAI Conference on Web and Social Media, 2020

Building knowledge graphs of homicide investigation chronologies.

Ritika Pandey, P. Jeffrey Brantingham, Craig D. Uchida, George O. Mohler

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Emotion Classification and Textual Clustering Techniques for Gang Intervention Data.

Ruofei Wu, Chenxin Yang, David Hyde, Andrea L. Bertozzi, P. Jeffrey Brantingham

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Analyzing Effectiveness of Gang Interventions using Koopman Operator Theory.

Sian Wen, Andy Chen, Tanishq Bhatia, Nicholas Liskij, David Hyde, Andrea L. Bertozzi, P. Jeffrey Brantingham

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction.

Mariam Alaverdian, William Gilroy, Veronica Kirgios, Xia Li, Carolina Matuk, Daniel McKenzie, Tachin Ruangkriengsin, Andrea L. Bertozzi, P. Jeffrey Brantingham

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Computing Equilibria in Binary Networked Public Goods Games.

Sixie Yu, Kai Zhou, P. Jeffrey Brantingham, Yevgeniy Vorobeychik

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction.

Baichuan Yuan, Hao Li, Andrea L. Bertozzi, P. Jeffrey Brantingham, Mason A. Porter

SIAM J. Math. Data Sci., 2019

Mobile Game Theory with Street Gangs.

Sarah Cooney, Wendy Gomez, Kai Wang, Jorja Leap, P. Jeffrey Brantingham, Milind Tambe

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data.

Bao Wang, Xiyang Luo, Fangbo Zhang, Baichuan Yuan, Andrea L. Bertozzi, P. Jeffrey Brantingham

CoRR, 2018

A Penalized Likelihood Method for Balancing Accuracy and Fairness in Predictive Policing.

George O. Mohler, Rajeev R. Raje, Jeremy G. Carter, Matthew Valasik, P. Jeffrey Brantingham

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Privacy Preserving, Crowd Sourced Crime Hawkes Processes.

George O. Mohler, P. Jeffrey Brantingham

Proceedings of the 2018 International Workshop on Social Sensing, 2018

Partially Generative Neural Networks for Gang Crime Classification with Partial Information.

Sungyong Seo, Hau Chan, P. Jeffrey Brantingham, Jorja Leap, Phebe Vayanos, Milind Tambe, Yan Liu

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

2017

Deep Learning for Real-Time Crime Forecasting and its Ternarization.

Bao Wang, Penghang Yin, Andrea L. Bertozzi, P. Jeffrey Brantingham, Stanley J. Osher, Jack Xin

CoRR, 2017

Deep Learning for Real Time Crime Forecasting.

Bao Wang, Duo Zhang, Duanhao Zhang, P. Jeffrey Brantingham, Andrea L. Bertozzi

CoRR, 2017

Crime Topic Modeling.

Da Kuang, P. Jeffrey Brantingham, Andrea L. Bertozzi

CoRR, 2017

2014

Defending Against Opportunistic Criminals: New Game-Theoretic Frameworks and Algorithms.

Chao Zhang, Albert Xin Jiang, Martin B. Short, P. Jeffrey Brantingham, Milind Tambe

Proceedings of the Decision and Game Theory for Security - 5th International Conference, 2014

Towards a game theoretic approach for defending against crime diffusion.

Chao Zhang, Albert Xin Jiang, Martin B. Short, P. Jeffrey Brantingham, Milind Tambe

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013

Community Detection Using Spectral Clustering on Sparse Geosocial Data.

Yves van Gennip, Blake Hunter, Raymond Ahn, Peter Elliott, Kyle Luh, Megan Halvorson, Shannon Reid, Matthew Valasik, James Wo, George E. Tita, Andrea L. Bertozzi, P. Jeffrey Brantingham

SIAM J. Appl. Math., 2013

Latent Point Process Models for Spatial-Temporal Networks

Yoon-Sik Cho, Aram Galstyan, P. Jeffrey Brantingham, George E. Tita

CoRR, 2013

Modeling Crime Diffusion and Crime Suppression on Transportation Networks: An Initial Report.

Chao Zhang, Albert Xin Jiang, Martin B. Short, P. Jeffrey Brantingham, Milind Tambe

Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013

2012

Nonlinear Dynamics of Crime and Violence in Urban Settings.

Maria Fonoberova, Vladimir A. Fonoberov, Igor Mezic, Jadranka Mezic, P. Jeffrey Brantingham

J. Artif. Soc. Soc. Simul., 2012

2010

Nonlinear Patterns in Urban Crime: Hotspots, Bifurcations, and Suppression.

Martin B. Short, Andrea L. Bertozzi, P. Jeffrey Brantingham

SIAM J. Appl. Dyn. Syst., 2010