Article

Nonparametric link prediction in dynamic networks

Authors:

Purnamrita Sarkar,

Deepayan Chakrabarti,

Michael I. JordanAuthors Info & Claims

ICML'12: Proceedings of the 29th International Coference on International Conference on Machine Learning

Pages 1897 - 1904

Published: 26 June 2012 Publication History

Abstract

We propose a nonparametric link prediction algorithm for a sequence of graph snapshots over time. The model predicts links based on the features of its endpoints, as well as those of the local neighborhood around the endpoints. This allows for different types of neighborhoods in a graph, each with its own dynamics (e.g, growing or shrinking communities). We prove the consistency of our estimator, and give a fast implementation based on locality-sensitive hashing. Experiments with simulated as well as five real-world dynamic graphs show that we outperform the state of the art, especially when sharp fluctuations or nonlinearities are present.

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Cited By

Kumar MMishra SSingh SBiswas B(2024)Community-enhanced Link Prediction in Dynamic NetworksACM Transactions on the Web10.1145/358051318:2(1-32)Online publication date: 8-Jan-2024
https://dl.acm.org/doi/10.1145/3580513
Chen JYing ROh ANaumann TGloberson ASaenko KHardt MLevine S(2023)TempMEProceedings of the 37th International Conference on Neural Information Processing Systems10.5555/3666122.3667385(29005-29028)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.5555/3666122.3667385
Kumar MMishra SBiswas B(2022)PQKLPComputer Communications10.1016/j.comcom.2022.10.006196:C(249-267)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1016/j.comcom.2022.10.006
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Nonparametric link prediction in dynamic networks
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Published In

cover image Guide Proceedings

ICML'12: Proceedings of the 29th International Coference on International Conference on Machine Learning

June 2012

1912 pages

ISBN:9781450312851

Program Chairs:
John Langford
Yahoo! Research
,
Joelle Pineau
McGill University

Sponsors

PASCAL2 - Pattern Analysis, Statistical Modelling and Computational Learning
IBMR: IBM Research
NSF
Microsoft Research: Microsoft Research
Facebook: Facebook

Publisher

Omnipress

Madison, WI, United States

Publication History

Published: 26 June 2012

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Cited By

Kumar MMishra SSingh SBiswas B(2024)Community-enhanced Link Prediction in Dynamic NetworksACM Transactions on the Web10.1145/358051318:2(1-32)Online publication date: 8-Jan-2024
https://dl.acm.org/doi/10.1145/3580513
Chen JYing ROh ANaumann TGloberson ASaenko KHardt MLevine S(2023)TempMEProceedings of the 37th International Conference on Neural Information Processing Systems10.5555/3666122.3667385(29005-29028)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.5555/3666122.3667385
Kumar MMishra SBiswas B(2022)PQKLPComputer Communications10.1016/j.comcom.2022.10.006196:C(249-267)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1016/j.comcom.2022.10.006
Chen YBijral AFerres JTeredesai AKumar VLi YRosales RTerzi EKarypis G(2019)On Dynamic Network Models and Application to Causal ImpactProceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3292500.3330990(1194-1204)Online publication date: 25-Jul-2019
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Wu PTu YYuan XJatowt AYang Z(2018)Neural framework for joint evolution modeling of user feedback and social links in dynamic social networksProceedings of the 27th International Joint Conference on Artificial Intelligence10.5555/3304415.3304647(1632-1638)Online publication date: 13-Jul-2018
https://dl.acm.org/doi/10.5555/3304415.3304647
Chen HLi JCuzzocrea AAllan JPaton NSrivastava DAgrawal RBroder AZaki MCandan SLabrinidis ASchuster AWang H(2018)Exploiting Structural and Temporal Evolution in Dynamic Link PredictionProceedings of the 27th ACM International Conference on Information and Knowledge Management10.1145/3269206.3271740(427-436)Online publication date: 17-Oct-2018
https://dl.acm.org/doi/10.1145/3269206.3271740
Aghasadeghi AStoyanovich J(2018)Generating Evolving Property Graphs with Attribute-Aware Preferential AttachmentProceedings of the Workshop on Testing Database Systems10.1145/3209950.3209954(1-6)Online publication date: 15-Jun-2018
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Li JTang JWang YWan YChang YLiu HChampin PGandon FMédini LLalmas MIpeirotis P(2018)Understanding and Predicting Delay in Reciprocal RelationsProceedings of the 2018 World Wide Web Conference10.1145/3178876.3186076(1643-1652)Online publication date: 10-Apr-2018
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Pandhre SMittal HGupta MBalasubramanian VRanu SGanguly NRamakrishnan RSarawagi SRoy S(2018)STwalkProceedings of the ACM India Joint International Conference on Data Science and Management of Data10.1145/3152494.3152512(210-219)Online publication date: 11-Jan-2018
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