Suchergebnisse - "Advances in Network Clustering and Blockmodeling"

Advances in Network Clustering and Blockmodeling

Advances in Network Clustering and Blockmodeling

Autoren: Patrick Doreian Vladimir Batagelj Anuska Ferligoj

Resource Type: eBook.

Schlagworte: Social networks--Mathematical models, Sociometry

Categories: MATHEMATICS / Probability & Statistics / General

Advances in Network Clustering and Blockmodeling

Autoren: Doreian, Patrick Batagelj, Vladimir Ferligoj, Anuska

Schlagwörter: XX

Relation: http://cds.cern.ch/record/2741671; oai:cds.cern.ch:2741671

Verfügbarkeit: http://cds.cern.ch/record/2741671

Bridging the short-term and long-term dynamics of economic structural change.

Autoren: McNerney, James Li, Yang Gomez-Lievano, Andres et al.

Quelle: Nature Communications; 11/20/2025, Vol. 16 Issue 1, p1-15, 15p

Schlagwörter: ECONOMIC development, DIVERSIFICATION in industry, TRANSIENT analysis, DYNAMIC models, ECONOMIC indicators, ECONOMIC change

Deep phenotyping of patient lived experience in functional bowel disorders using machine learning.

Autoren: Ruffle, James K. Henderson, Michelle Ng, Cho Ee et al.

Quelle: Scientific Reports; 10/9/2025, Vol. 15 Issue 1, p1-16, 16p

Schlagwörter: MACHINE learning, MENTAL health, IRRITABLE colon, CLINICAL medicine, PATIENTS' attitudes, TREATMENT effectiveness, HEALTH services accessibility

Community detection for directed networks revisited using bimodularity.

Autoren: Cionca, Alexandre Chun Hei Michael Chan De Ville, Dimitri Van

Quelle: Proceedings of the National Academy of Sciences of the United States of America; 9/2/2025, Vol. 122 Issue 35, p1-12, 21p

Schlagwörter: DIRECTED graphs, CAENORHABDITIS elegans, CLUSTERING algorithms, COMMUNICATION network analysis, NONLINEAR statistical models, SIMULATION methods & models

Approximate regular equivalence by partition refinement.

Autoren: Squillace, Giuseppe Tribastone, Mirco Tschaikowski, Max et al.

Quelle: Applied Network Science; 8/27/2025, Vol. 10 Issue 1, p1-26, 26p

Robust Bayesian analysis of animal networks subject to biases in sampling intensity and censoring.

Autoren: Sosa, Sebastian McElreath, Mary B. Redhead, Daniel et al.

Quelle: Methods in Ecology & Evolution; Jun2025, Vol. 16 Issue 6, p1273-1294, 22p

Schlagwörter: ANIMAL social behavior, SOCIAL network analysis, SOCIAL interaction, SOCIAL networks, BAYESIAN analysis

Exploring the latent space of transcriptomic data with topic modeling Open Access.

Autoren: Valle, Filippo Caselle, Michele Osella, Matteo

Quelle: NAR Genomics & Bioinformatics; Jun2025, Vol. 7 Issue 2, p1-18, 18p

Symmetry-driven embedding of networks in hyperbolic space.

Autoren: Lizotte, Simon Young, Jean-Gabriel Allard, Antoine

Quelle: Communications Physics; 5/15/2025, Vol. 8 Issue 1, p1-10, 10p

Schlagwörter: OPTIMIZATION algorithms, HYPERBOLIC spaces, ALGORITHMS

The multiscale self-similarity of the weighted human brain connectome.

Autoren: Barjuan, Laia Zheng, Muhua Serrano, M Ángeles

Quelle: PLoS Computational Biology; 4/7/2025, Vol. 21 Issue 4, p1-20, 20p

Schlagwörter: GEOMETRIC modeling, GEOMETRIC approach, SYMMETRY breaking, MENTAL illness, NEURODEGENERATION

Twitter communities are associated with changing user's opinion towards COVID-19 vaccine in Japan: Twitter communities are associated with changing user's opinion towards COVID-19 vaccine in Japan: Q. Wu et al.

Autoren: Wu, Qianyun Sano, Yukie Takayasu, Hideki et al.

Quelle: Scientific Reports; 4/5/2025, Vol. 15 Issue 1, p1-15, 15p

Schlagwörter: POLARIZATION (Social sciences), STATISTICAL significance, SOCIAL media, SOCIAL influence, COVID-19 vaccines

Stochastic Block Models for Complex Network Analysis: A Survey.

Autoren: Liu, Xueyan Song, Wenzhuo Musial, Katarzyna et al.

Quelle: ACM Transactions on Knowledge Discovery from Data; Apr2025, Vol. 19 Issue 3, p1-35, 35p

Schlagwörter: MACHINE learning, STOCHASTIC models, STRUCTURAL models, DATA mining, PARAMETER estimation, DEEP learning

Wavelet Transform Cluster Analysis of UAV Images for Sustainable Development of Smart Regions Due to Inspecting Transport Infrastructure.

Autoren: Zheng, Yanyan Shcherbakova, Galina Rusyn, Bohdan et al.

Quelle: Sustainability (2071-1050); Feb2025, Vol. 17 Issue 3, p927, 27p

Regional processes shape the structure of rumen microbial co‐occurrence networks.

Autoren: Galai, Geut Arbel, Dafna Klass, Keren et al.

Quelle: Ecography; Dec2024, Vol. 2024 Issue 12, p1-13, 13p

Schlagwörter: MICROBIAL communities, SIGNAL processing, STOCHASTIC models, FARMS, COWS

Citation and bibliographic coupling between authors in the field of social network analysis.

Autoren: Maltseva, Daria Batagelj, Vladimir

Quelle: Journal of Data & Information Science; Nov2024, Vol. 9 Issue 4, p110-154, 45p

Schlagwörter: SCIENTIFIC community, BIBLIOGRAPHICAL citations, BIBLIOMETRICS, DISSOCIATIVE identity disorder, SOCIAL network analysis

Network mutual information measures for graph similarity.

Autoren: Felippe, Helcio Battiston, Federico Kirkley, Alec

Quelle: Communications Physics; 10/14/2024, Vol. 7 Issue 1, p1-12, 12p

Schlagwörter: INFORMATION measurement, MULTIPLE comparisons (Statistics), INFORMATION networks, TASK analysis, INFORMATION sharing

Structured networks and coarse-grained descriptions: a dynamical perspective

Autoren: Schaub, Michael T. Delvenne, Jean-Charles Lambiotte, Renaud et al.

Index Begriffe: Computer Science - Social and Information Networks, Computer Science - Multiagent Systems, Physics - Physics and Society, text

URL: http://arxiv.org/abs/1804.06268

Partitioning signed networks

Autoren: Traag, V. A. Doreian, P. Mrvar, A.

Index Begriffe: Physics - Physics and Society, Computer Science - Social and Information Networks, text

URL: http://arxiv.org/abs/1803.02082

Revealing dynamic co-authorship structure in the social sciences through blockmodeling: the Slovenian case (1991–2020).

Autoren: Telarico, Fabio Ashtar Mali, Franc Žiberna, Aleš

Quelle: Scientometrics; Sep2024, Vol. 129 Issue 9, p5635-5672, 38p