Discussion of the community detection algorithm based on statistical inference

Perspectives in Science - Tập 7 - Trang 122-125 - 2016
Liangxun Shuo1, Bianfang Chai1
1Shijiazhuang University of Economics, Shijiazhuang, 050031 China

Tài liệu tham khảo

Ahn, 2010, Link communities reveal multiscale complexity in networks, Nature, 466, 761, 10.1038/nature09182 Airoldi, 2006, Mixed membership stochastic block models for relational data with application to protein–protein interactions, Proc. Int. Biom. Soc. Airoldi, 2008, Mixed membership stochastic block models, J. Mach. Learn. Res., 9, 1981 Blei, 2013, Latent dirichlet allocation, J. Mach. Learn. Res., 3, 993 Cohn, 2000, 167 Condon, 2001, Algorithms for graph partitioning on the planted partition model, Random Struct. Algorithms, 18, 116, 10.1002/1098-2418(200103)18:2<116::AID-RSA1001>3.0.CO;2-2 Duan, 2011, MEI: mutual enhanced infinite generative model for simultaneous community and topic detection, Discov. Sci., 9 Erosheva, 2004, Mixed-membership models of scientific publications, Proc. Natl. Acad. Sci. U. S. A., 101, 5220, 10.1073/pnas.0307760101 Evans, 2009, Line graphs, link partitions, and overlapping communities, Phys. Rev. E, 80, 06105, 10.1103/PhysRevE.80.016105 Karrer, 2011, An efficient and principled method for detecting communities in networks, Phys. Rev. E, 84, 036103, 10.1103/PhysRevE.84.036103 Karrer, 2011, Stochastic block models and community structure in networks, Phys. Rev. E, 83, 016107, 10.1103/PhysRevE.83.016107 Mungan, 2010, Stability of maximum likelihood based clustering methods: exploring the backbone of classifications, J. Stat. Mech., 4, 04028, 10.1088/1742-5468/2010/04/P04028 Nallapati, 2008, Joint latent topic models for text and citations, ACM, 542 Parkkinen, 2009, A block model suitable for sparse graphs Psorakis, 2010, Partitioning in networks via Bayesian Non-negative Matrix Factorization Ren, 2009, Simple probalitic algorithm for detecting community structure, Phys. Rev. E, 79, 036111, 10.1103/PhysRevE.79.036111 Vazquez, 2008, Population stratification using a statistical model on hypergraphs, Phys. Rev. E, 77, 066106, 10.1103/PhysRevE.77.066106 Vazquez, 2009, Finding hypergraph communities: a Bayesian approach and variational solution, J. Stat. Mech.: Theory Exp., 07006, 10.1088/1742-5468/2009/07/P07006 Yang, 2009, Combining link and content for community detection: a discriminative approach, KDD, 927, 10.1145/1557019.1557120 Yang, 2009, A Bayesian framework for community detection integrating content and link, BUAI, 615 Yang, 2010, Directed network community detection: a popularity and productivity link model, SDM, 742