Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Community detection and stochastic block models: recent developments
The stochastic block model (SBM) is a random graph model with planted clusters. It is widely
employed as a canonical model to study clustering and community detection, and provides …
employed as a canonical model to study clustering and community detection, and provides …
A comprehensive review of community detection in graphs
The study of complex networks has significantly advanced our understanding of community
structures which serves as a crucial feature of real-world graphs. Detecting communities in …
structures which serves as a crucial feature of real-world graphs. Detecting communities in …
[کتاب][B] Modern algorithms of cluster analysis
ST Wierzchoń, MA Kłopotek - 2018 - Springer
This chapter characterises the scope of this book. It explains the reasons why one should be
interested in cluster analysis, lists major application areas, basic theoretical and practical …
interested in cluster analysis, lists major application areas, basic theoretical and practical …
Spectral clustering and the high-dimensional stochastic blockmodel
K Rohe, S Chatterjee, B Yu - 2011 - projecteuclid.org
Networks or graphs can easily represent a diverse set of data sources that are characterized
by interacting units or actors. Social networks, representing people who communicate with …
by interacting units or actors. Social networks, representing people who communicate with …
[کتاب][B] Statistical analysis of network data with R
ED Kolaczyk, G Csárdi - 2014 - Springer
Networks and network analysis are arguably one of the largest growth areas of the early
twenty-first century in the quantitative sciences. Despite roots in social network analysis …
twenty-first century in the quantitative sciences. Despite roots in social network analysis …
Spectral graph theory
Spectral graph theory is the study and exploration of graphs through the eigenvalues and
eigenvectors of matrices naturally associated with those graphs. It is intuitively related to …
eigenvectors of matrices naturally associated with those graphs. It is intuitively related to …
Spectral graph theory and its applications
Spectral graph theory is the study of the eigenvalues and eigenvectors of matrices
associated with graphs. In this tutorial, we will try to provide some intuition as to why these …
associated with graphs. In this tutorial, we will try to provide some intuition as to why these …
[کتاب][B] Descriptive vs. inferential community detection in networks: Pitfalls, myths and half-truths
TP Peixoto - 2023 - cambridge.org
Community detection is one of the most important methodological fields of network science,
and one which has attracted a significant amount of attention over the past decades. This …
and one which has attracted a significant amount of attention over the past decades. This …
Random walk graph Laplacian-based smoothness prior for soft decoding of JPEG images
Given the prevalence of joint photographic experts group (JPEG) compressed images,
optimizing image reconstruction from the compressed format remains an important problem …
optimizing image reconstruction from the compressed format remains an important problem …
[کتاب][B] Algorithms for sparse linear systems
Large sparse linear systems of equations are ubiquitous in science, engineering and
beyond. This open access monograph focuses on factorization algorithms for solving such …
beyond. This open access monograph focuses on factorization algorithms for solving such …