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Dynamic stochastic blockmodels for time-evolving social networks

Dynamic stochastic blockmodels for time-evolving social networks

IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2014
4 March 2014
Kevin S. Xu
Alfred Hero
ArXiv (abs)PDFHTML

Papers citing "Dynamic stochastic blockmodels for time-evolving social networks"

50 / 70 papers shown
Tensor State Space-based Dynamic Multilayer Network Modeling
Tensor State Space-based Dynamic Multilayer Network Modeling
Tian-Shing Lan
Jie Guo
Chen Zhang
267
1
0
03 Jun 2025
Online Bayesian changepoint detection for network Poisson processes with
  community structure
Online Bayesian changepoint detection for network Poisson processes with community structure
Joshua Corneck
Edward A. K. Cohen
James S. Martin
Francesco Sanna Passino
3DPC
260
8
0
04 Jul 2024
Valid Conformal Prediction for Dynamic GNNs
Valid Conformal Prediction for Dynamic GNNs
Ed Davis
Ian Gallagher
Daniel J. Lawson
Patrick Rubin-Delanchy
AI4CE
588
7
0
29 May 2024
Differentially Private Online Community Detection for Censored Block Models: Algorithms and Fundamental Limits
Differentially Private Online Community Detection for Censored Block Models: Algorithms and Fundamental LimitsIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024
Mohamed Seif
Liyan Xie
Andrea J. Goldsmith
H. Vincent Poor
358
2
0
09 May 2024
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC
Sikun Yang
Heinz Koeppl
249
0
0
29 Feb 2024
Optimal recovery by maximum and integrated conditional likelihood in the
  general Stochastic Block Model
Optimal recovery by maximum and integrated conditional likelihood in the general Stochastic Block Model
Andressa Cerqueira
Florencia Leonardi
340
0
0
16 Nov 2023
A Simple and Powerful Framework for Stable Dynamic Network Embedding
A Simple and Powerful Framework for Stable Dynamic Network Embedding
Ed Davis
Ian Gallagher
Daniel J. Lawson
Patrick Rubin-Delanchy
347
5
0
14 Nov 2023
Computational and Statistical Thresholds in Multi-layer Stochastic Block
  Models
Computational and Statistical Thresholds in Multi-layer Stochastic Block ModelsAnnals of Statistics (Ann. Stat.), 2023
Jing Lei
Anru R. Zhang
Zihan Zhu
235
10
0
13 Nov 2023
Restricted Tweedie Stochastic Block Models
Restricted Tweedie Stochastic Block ModelsCanadian journal of statistics (CJS), 2023
Jie Jian
Mu Zhu
Peijun Sang
283
2
0
17 Oct 2023
Semiparametric Modeling and Analysis for Longitudinal Network Data
Semiparametric Modeling and Analysis for Longitudinal Network Data
Yinqiu He
Jiajin Sun
Yuang Tian
Z. Ying
Yang Feng
269
5
0
23 Aug 2023
Intensity Profile Projection: A Framework for Continuous-Time
  Representation Learning for Dynamic Networks
Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic NetworksNeural Information Processing Systems (NeurIPS), 2023
Alexander Modell
Ian Gallagher
Emma Ceccherini
N. Whiteley
Patrick Rubin-Delanchy
339
6
0
09 Jun 2023
Dynamic Mixed Membership Stochastic Block Model for Weighted Labeled
  Networks
Dynamic Mixed Membership Stochastic Block Model for Weighted Labeled NetworksAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Gael Poux-Medard
Julien Velcin
Sabine Loudcher
313
3
0
12 Apr 2023
Latent Evolution Model for Change Point Detection in Time-varying
  Networks
Latent Evolution Model for Change Point Detection in Time-varying NetworksInformation Sciences (Inf. Sci.), 2022
Yongshun Gong
Xue Dong
Jian Zhang
Meng Chen
191
17
0
17 Dec 2022
Structured Optimal Variational Inference for Dynamic Latent Space Models
Structured Optimal Variational Inference for Dynamic Latent Space Models
Penghui Zhao
A. Bhattacharya
D. Pati
Bani Mallick
BDL
373
5
0
29 Sep 2022
Concentration inequalities for correlated network-valued processes with
  applications to community estimation and changepoint analysis
Concentration inequalities for correlated network-valued processes with applications to community estimation and changepoint analysis
Sayak Chatterjee
Sabyasachi Chatterjee
Soumendu Sundar Mukherjee
Anirban Nath
Sharmodeep Bhattacharyya
265
2
0
02 Aug 2022
Recurrent segmentation meets block models in temporal networks
Recurrent segmentation meets block models in temporal networksIFIP Working Conference on Database Semantics (IWDS), 2022
Chamalee Wickrama Arachchi
Nikolaj Tatti
159
1
0
19 May 2022
Disentangled Spatiotemporal Graph Generative Models
Disentangled Spatiotemporal Graph Generative ModelsAAAI Conference on Artificial Intelligence (AAAI), 2022
Yuanqi Du
Xiaojie Guo
Hengning Cao
Yanfang Ye
Bo Pan
290
23
0
28 Feb 2022
Consistent Bayesian community recovery in multilayer networks
Consistent Bayesian community recovery in multilayer networksInternational Symposium on Information Theory (ISIT), 2022
Kalle Alaluusua
Lasse Leskelä
228
2
0
11 Feb 2022
Systematic assessment of the quality of fit of the stochastic block
  model for empirical networks
Systematic assessment of the quality of fit of the stochastic block model for empirical networksPhysical Review E (Phys. Rev. E), 2022
Felipe Vaca-Ramírez
Tiago P. Peixoto
390
10
0
05 Jan 2022
A Probit Tensor Factorization Model For Relational Learning
A Probit Tensor Factorization Model For Relational Learning
Ye Liu
Rui Song
Wenbin Lu
Yanghua Xiao
235
1
0
06 Nov 2021
Spectral embedding for dynamic networks with stability guarantees
Spectral embedding for dynamic networks with stability guaranteesNeural Information Processing Systems (NeurIPS), 2021
Ian Gallagher
Andrew Jones
Patrick Rubin-Delanchy
253
31
0
02 Jun 2021
Learning User Embeddings from Temporal Social Media Data: A Survey
Learning User Embeddings from Temporal Social Media Data: A Survey
Fatema Hasan
Kevin S. Xu
James R. Foulds
Shimei Pan
152
2
0
17 May 2021
A Survey of Community Detection Approaches: From Statistical Modeling to
  Deep Learning
A Survey of Community Detection Approaches: From Statistical Modeling to Deep LearningIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Di Jin
Zhizhi Yu
Pengfei Jiao
Shirui Pan
Dongxiao He
Hongzhi Zhang
Philip S. Yu
Weixiong Zhang
GNN
438
362
0
03 Jan 2021
Disentangled Dynamic Graph Deep Generation
Disentangled Dynamic Graph Deep Generation
Wenbin Zhang
Liming Zhang
Dieter Pfoser
Bo Pan
255
46
0
14 Oct 2020
Sketch-based community detection in evolving networks
Sketch-based community detection in evolving networksPhysical Review E (PRE), 2020
Andre Beckus
George Atia
245
1
0
24 Sep 2020
Community recovery in non-binary and temporal stochastic block models
Community recovery in non-binary and temporal stochastic block models
Konstantin Avrachenkov
Maximilien Dreveton
Lasse Leskelä
569
13
0
11 Aug 2020
Evaluating Community Detection Algorithms for Progressively Evolving
  Graphs
Evaluating Community Detection Algorithms for Progressively Evolving Graphs
Rémy Cazabet
Souâad Boudebza
Giulio Rossetti
295
28
0
16 Jul 2020
Markov Random Geometric Graph (MRGG): A Growth Model for Temporal
  Dynamic Networks
Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic NetworksElectronic Journal of Statistics (EJS), 2020
Quentin Duchemin
Yohann De Castro
315
7
0
12 Jun 2020
TG-GAN: Continuous-time Temporal Graph Generation with Deep Generative
  Models
TG-GAN: Continuous-time Temporal Graph Generation with Deep Generative Models
Liming Zhang
Bo Pan
Shan Qin
Dieter Pfoser
AI4CE
212
5
0
17 May 2020
Foundations and modelling of dynamic networks using Dynamic Graph Neural
  Networks: A survey
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey
Joakim Skarding
Bogdan Gabrys
Katarzyna Musial
AI4CE
382
308
0
13 May 2020
Detecting Dynamic Community Structure in Functional Brain Networks
  Across Individuals: A Multilayer Approach
Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer ApproachIEEE Transactions on Medical Imaging (TMI), 2020
C. Ting
S. Samdin
Meini Tang
H. Ombao
278
42
0
09 Apr 2020
General Community Detection with Optimal Recovery Conditions for
  Multi-relational Sparse Networks with Dependent Layers
General Community Detection with Optimal Recovery Conditions for Multi-relational Sparse Networks with Dependent Layers
Sharmodeep Bhattacharyya
Sabyasachi Chatterjee
217
15
0
06 Apr 2020
Bias-adjusted spectral clustering in multi-layer stochastic block models
Bias-adjusted spectral clustering in multi-layer stochastic block modelsJournal of the American Statistical Association (JASA), 2020
Jing Lei
K. Lin
397
65
0
18 Mar 2020
The Four Dimensions of Social Network Analysis: An Overview of Research
  Methods, Applications, and Software Tools
The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software ToolsInformation Fusion (Inf. Fusion), 2020
David Camacho
Á. Panizo-Lledot
Gema Bello Orgaz
A. González-Pardo
Xiaoshi Zhong
303
277
0
21 Feb 2020
Sparse and Smooth: improved guarantees for Spectral Clustering in the
  Dynamic Stochastic Block Model
Sparse and Smooth: improved guarantees for Spectral Clustering in the Dynamic Stochastic Block ModelElectronic Journal of Statistics (EJS), 2020
Nicolas Keriven
Samuel Vaiter
310
14
0
07 Feb 2020
A Multilayered Block Network Model to Forecast Large Dynamic
  Transportation Graphs: an Application to US Air Transport
A Multilayered Block Network Model to Forecast Large Dynamic Transportation Graphs: an Application to US Air Transport
Hector Rodriguez-Deniz
M. Villani
Augusto Voltes-Dorta
AI4TS
269
10
0
29 Nov 2019
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge
  Graphs
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs
Tony Gracious
Shubham Gupta
Arun Kanthali
Rui M. Castro
Ambedkar Dukkipati
BDL
412
0
0
26 Nov 2019
Variational Graph Recurrent Neural Networks
Variational Graph Recurrent Neural NetworksNeural Information Processing Systems (NeurIPS), 2019
Ehsan Hajiramezanali
Arman Hasanzadeh
N. Duffield
Krishna R. Narayanan
Mingyuan Zhou
Xiaoning Qian
BDLGNN
242
221
0
26 Aug 2019
Role Detection in Bicycle-Sharing Networks Using Multilayer Stochastic
  Block Models
Role Detection in Bicycle-Sharing Networks Using Multilayer Stochastic Block ModelsNetwork Science (NS), 2019
Jane Carlen
Jaume de Dios Pont
C. Mentus
Shyr-Shea Chang
Stephanie Wang
M. A. Porter
255
8
0
26 Aug 2019
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable
  and Consistent Estimation
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation
Makan Arastuie
Subhadeep Paul
Kevin S. Xu
452
2
0
19 Aug 2019
Recovering shared structure from multiple networks with unknown edge
  distributions
Recovering shared structure from multiple networks with unknown edge distributionsJournal of machine learning research (JMLR), 2019
Keith D. Levin
A. Lodhia
Elizaveta Levina
244
13
0
13 Jun 2019
Latent Channel Networks
Latent Channel Networks
Clifford Anderson-Bergman
Phan Nguyen
Jose Cadena Pico
BDL
134
0
0
10 Jun 2019
Sequential Edge Clustering in Temporal Multigraphs
Sequential Edge Clustering in Temporal Multigraphs
Elahe Ghalebi
H. Mahyar
Radu Grosu
Graham W. Taylor
Sinead Williamson
562
0
0
28 May 2019
Consistency of the maximum likelihood and variational estimators in a
  dynamic stochastic block model
Consistency of the maximum likelihood and variational estimators in a dynamic stochastic block model
L. Longepierre
C. Matias
347
5
0
11 Mar 2019
Spectral Clustering for Multiple Sparse Networks: I
Spectral Clustering for Multiple Sparse Networks: I
Sharmodeep Bhattacharyya
Sabyasachi Chatterjee
222
45
0
27 May 2018
Block-Structure Based Time-Series Models For Graph Sequences
Block-Structure Based Time-Series Models For Graph Sequences
Mehrnaz Amjadi
Theja Tulabandhula
322
3
0
24 Apr 2018
A Generative Model for Dynamic Networks with Applications
A Generative Model for Dynamic Networks with Applications
Shubham Gupta
Gaurav Sharma
Ambedkar Dukkipati
473
15
0
11 Feb 2018
A dynamic network model with persistent links and node-specific latent
  variables, with an application to the interbank market
A dynamic network model with persistent links and node-specific latent variables, with an application to the interbank market
Piero Mazzarisi
P. Barucca
Fabrizio Lillo
Daniele Tantari
290
52
0
30 Dec 2017
Model-Based Clustering of Time-Evolving Networks through Temporal
  Exponential-Family Random Graph Models
Model-Based Clustering of Time-Evolving Networks through Temporal Exponential-Family Random Graph ModelsJournal of Multivariate Analysis (J. Multivar. Anal.), 2017
Kevin H. Lee
Lingzhou Xue
David R. Hunter
305
23
0
20 Dec 2017
The Block Point Process Model for Continuous-Time Event-Based Dynamic
  Networks
The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks
Ruthwik R. Junuthula
Maysam Haghdan
Kevin S. Xu
Vijay Devabhaktuni
446
31
0
29 Nov 2017
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