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0811.0484
Cited By
Hierarchical structure and the prediction of missing links in networks
4 November 2008
A. Clauset
Cristopher Moore
Mark E. J. Newman
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Papers citing
"Hierarchical structure and the prediction of missing links in networks"
50 / 156 papers shown
Title
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Generalized linear models with low rank effects for network data
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V. Nicosia
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J. Gómez-Gardenes
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Graph Embedding Techniques, Applications, and Performance: A Survey
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Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks
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Yingyu Liang
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Limitations and Alternatives for the Evaluation of Large-scale Link Prediction
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Ulises Cortés
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02 Nov 2016
Semi-supervised Graph Embedding Approach to Dynamic Link Prediction
Ryohei Hisano
153
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14 Oct 2016
The ground truth about metadata and community detection in networks
Leto Peel
D. Larremore
A. Clauset
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20 Aug 2016
Link Prediction via Matrix Completion
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Dong Hao
Liming Pan
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Tao Zhou
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Comparing the hierarchy of keywords in on-line news portals
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David Sousa-Rodrigues
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20 Jun 2016
Bayesian Model Selection of Stochastic Block Models
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23 May 2016
Network structure, metadata and the prediction of missing nodes and annotations
Darko Hric
Tiago P. Peixoto
S. Fortunato
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Scalable Models for Computing Hierarchies in Information Networks
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Tim Weninger
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A framework for statistical network modeling
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Walter Dempsey
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Structure and inference in annotated networks
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Mining Missing Hyperlinks from Human Navigation Traces: A Case Study of Wikipedia
Robert West
Ashwin Paranjape
J. Leskovec
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Community Detection and Classification in Hierarchical Stochastic Blockmodels
V. Lyzinski
M. Tang
A. Athreya
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Carey E. Priebe
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A unified view of generative models for networks: models, methods, opportunities, and challenges
Abigail Z. Jacobs
A. Clauset
118
31
0
14 Nov 2014
Predicting missing links via correlation between nodes
Hao Liao
A. Zeng
Yi-Cheng Zhang
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Variational Inference For Probabilistic Latent Tensor Factorization with KL Divergence
Beyza Ermis
Y. K. Yilmaz
A. Cemgil
E. Acar
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Collapsed Variational Bayes Inference of Infinite Relational Model
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Issei Sato
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Learning Latent Block Structure in Weighted Networks
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Abigail Z. Jacobs
A. Clauset
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Scalable detection of statistically significant communities and hierarchies, using message-passing for modularity
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Cristopher Moore
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Non-parametric Bayesian modeling of complex networks
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Morten Mørup
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The Infinite Degree Corrected Stochastic Block Model
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Mikkel N. Schmidt
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Nonparametric Bayesian models of hierarchical structure in complex networks
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Tue Herlau
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Hierarchical Block Structures and High-resolution Model Selection in Large Networks
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Joint modeling of multiple time series via the beta process with application to motion capture segmentation
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M. C. Hughes
Erik B. Sudderth
Michael I. Jordan
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Adapting the Stochastic Block Model to Edge-Weighted Networks
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Abigail Z. Jacobs
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Scalable Text and Link Analysis with Mixed-Topic Link Models
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Xiaoran Yan
Lise Getoor
Cristopher Moore
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Detecting Friendship Within Dynamic Online Interaction Networks
Sears A. Merritt
Abigail Z. Jacobs
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Link prediction for partially observed networks
Yunpeng Zhao
Elizaveta Levina
Ji Zhu
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Link Prediction via Generalized Coupled Tensor Factorisation
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E. Acar
A. Cemgil
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30 Aug 2012
Model Selection for Degree-corrected Block Models
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C. Shalizi
Jacob E. Jensen
Florent Krzakala
Cristopher Moore
Lenka Zdeborova
Pan Zhang
Yaojia Zhu
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Learning in Hierarchical Social Networks
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Edwin K. P. Chong
Ali Pezeshki
W. Moran
Stephen D. Howard
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Luke K. McDowell
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Clustering in networks with the collapsed Stochastic Block Model
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T. B. Murphy
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N. Hurley
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Active Learning for Node Classification in Assortative and Disassortative Networks
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Xiaoran Yan
Yaojia Zhu
Jean-Baptiste Rouquier
T. Lane
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Predictors of short-term decay of cell phone contacts in a large scale communication network
Troy Raeder
Omar Alcides Lizardo
David S. Hachen
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39
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Supervised Random Walks: Predicting and Recommending Links in Social Networks
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J. Leskovec
126
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Ankur P. Parikh
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Multiplex Structures: Patterns of Complexity in Real-World Networks
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Inferring Networks of Diffusion and Influence
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Andreas Krause
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Temporal Link Prediction using Matrix and Tensor Factorizations
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Active Learning for Hidden Attributes in Networks
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Yaojia Zhu
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Profiling of a network behind an infectious disease outbreak
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Effect of Degree Distribution on Evolutionary Search
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