mlsanityData to 14 Oct 2026

A Tutorial on Hawkes Processes for Events in Social Media

arXiv 1708.06401 ↗First posted 21 Aug 2017stat.ML cs.SIcited by 15

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Abstract (arXiv)

This chapter provides an accessible introduction for point processes, and especially Hawkes processes, for modeling discrete, inter-dependent events over continuous time. We start by reviewing the definitions and the key concepts in point processes. We then introduce the Hawkes process, its event intensity function, as well as schemes for event simulation and parameter estimation. We also describe a practical example drawn from social media data - we show how to model retweet cascades using a Hawkes self-exciting process. We presents a design of the memory kernel, and results on estimating parameters and predicting popularity. The code and sample event data are available as an online appendix

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Aug 2017.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 5; 2022: 8; 2023: 0; 2024: 0; 2025: 0; 2026: 2.

15 papers.

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  1. 2022Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processescited by 23
  2. 2022TIGGER: Scalable Generative Modelling for Temporal Interaction Graphscited by 18
  3. 2021Maximum Likelihood Estimation for Hawkes Processes with self-excitation or inhibitioncited by 5
  4. 2022A Survey on Temporal Graph Representation Learning and Generative Modelingcited by 4
  5. 2021Bayesian Neural Hawkes Process for Event Uncertainty Predictioncited by 3
  6. 2022Online Detection Of Supply Chain Network Disruptions Using Sequential Change-Point Detection for Hawkes Processescited by 3
  7. 2021Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Datacited by 2
  8. 2022Flexible Triggering Kernels for Hawkes Process Modelingcited by 2
  9. 2022HyperHawkes: Hypernetwork based Neural Temporal Point Processcited by 1
  10. 2021Survey on Modeling Intensity Function of Hawkes Process Using Neural Modelscited by 0
  11. 2021Spatio-temporal extreme event modeling of terror insurgenciescited by 0
  12. 2022Le Processus Powered Dirichlet-Hawkes comme A Priori Flexible pour Clustering Temporel de Textescited by 0
3 more
  1. 2022Interactions in Information Spreadcited by 0
  2. 2026Stability of AI Governance Systems: A Coupled Dynamics Model of Public Trust and Social Disruptionscited by 0
  3. 2026HawkesLLM: Semantic Uncertainty Propagation in Agentic Text Simulationcited by 0