Network Science

2013 - 2025

From Cambridge University Press
Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
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Volume 10, month December, 2022

A multi-purposed unsupervised framework for comparing embeddings of undirected and directed graphs pp. 323-346

Bogumił Kamiński, Łukasz Kraiński, Paweł Prałat and François Théberge

Random networks grown by fusing edges via urns pp. 347-360

Kiran R. Bhutani, Ravi Kalpathy and Hosam Mahmoud

Efficiently generating geometric inhomogeneous and hyperbolic random graphs pp. 361-380

Thomas Bläsius, Tobias Friedrich, Maximilian Katzmann, Ulrich Meyer, Manuel Penschuck and Christopher Weyand

Toward random walk-based clustering of variable-order networks pp. 381-399

Julie Queiros, Célestin Coquidé and François Queyroi

Preferential attachment hypergraph with high modularity pp. 400-429

Frédéric Giroire, Nicolas Nisse, Thibaud Trolliet and Małgorzata Sulkowska

Volume 10, month September, 2022

Connectivity-preserving distributed algorithms for removing links in directed networks pp. 215-233

Azwirman Gusrialdi

Techniques for blocking the propagation of two simultaneous contagions over networks using a graph dynamical systems framework pp. 234-260

Henry L. Carscadden, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi and Daniel J. Rosenkrantz

How teams adapt to exogenous shocks: Experimental evidence with node knockouts of central members pp. 261-282

Jared F. Edgerton, Skyler J. Cranmer and Victor Finomore

Strong and weak tie homophily in adolescent friendship networks: An analysis of same-race and same-gender ties pp. 283-300

Cassie McMillan

Block dense weighted networks with augmented degree correction pp. 301-321

Benjamin Leinwand and Vladas Pipiras

Volume 10, month June, 2022

A hierarchical latent space network model for mediation pp. 113-130

Tracy M. Sweet and Samrachana Adhikari

Generating weighted and thresholded gene coexpression networks using signed distance correlation pp. 131-145

Javier Pardo-Diaz, Philip S. Poole, Mariano Beguerisse-Díaz, Charlotte M. Deane and Gesine Reinert

Network classification-based structural analysis of real networks and their model-generated counterparts pp. 146-169

Marcell Nagy and Roland Molontay

A pairwise strategic network formation model with group heterogeneity: With an application to international travel pp. 170-189

Tadao Hoshino

Consensus embedding for multiple networks: Computation and applications pp. 190-206

Mengzhen Li, Mustafa Coşkun and Mehmet Koyutürk

Bringing network science to primary school pp. 207-213

Clara Stegehuis

Volume 10, month March, 2022

Circular specifications and “predicting” with information from the future: Errors in the empirical SAOM–TERGM comparison of Leifeld & Cranmer pp. 3-14

Per Block, James Hollway, Christoph Stadtfeld, Johan Koskinen and Tom Snijders

The stochastic actor-oriented model is a theory as much as it is a method and must be subject to theory tests pp. 15-19

Philip Leifeld and Skyler J. Cranmer

Faster MCMC for Gaussian latent position network models pp. 20-45

Neil A. Spencer, Brian W. Junker and Tracy M. Sweet

Role detection in bicycle-sharing networks using multilayer stochastic block models pp. 46-81

Jane Carlen, Jaume de Dios Pont, Cassidy Mentus, Shyr-Shea Chang, Stephanie Wang and Mason A. Porter

DERGMs: Degeneracy-restricted exponential family random graph models pp. 82-110

Vishesh Karwa, Sonja Petrović and Denis Bajić

A theoretical and empirical comparison of the temporal exponential random graph model and the stochastic actor-oriented model – Corrigendum pp. 111-111

Philip Leifeld and Skyler J. Cranmer

Volume 9, month December, 2021

Measuring reciprocity: Double sampling, concordance, and network construction pp. 387-402

Elspeth Ready and Eleanor A. Power

Large very dense subgraphs in a stream of edges pp. 403-424

Claire Mathieu and Michel de Rougemont

Cheating in online gaming spreads through observation and victimization pp. 425-442

Ji Eun Kim and Milena Tsvetkova

Toward a generalized notion of discrete time for modeling temporal networks pp. 443-477

Konstantin Kueffner and Mark Strembeck

Iterative estimation of mixed exponential random graph models with nodal random effects pp. 478-498

S. Kevork and G. Kauermann

Volume 9, month October, 2021

Introduction to the special issue on COMPLEX NETWORKS 2019 pp. S1-S3

Hocine Cherifi and Luis M. Rocha

Gradient and Harnack-type estimates for PageRank pp. S4-S22

Paul Horn and Lauren M. Nelsen

Learning to count: A deep learning framework for graphlet count estimation pp. S23-S60

Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui and Konstantin Avrachenkov

On the impact of network size and average degree on the robustness of centrality measures pp. S61-S82

Christoph Martin and Peter Niemeyer

Isolation concepts applied to temporal clique enumeration pp. S83-S105

Hendrik Molter, Rolf Niedermeier and Malte Renken

A simple differential geometry for complex networks pp. S106-S133

Emil Saucan, Areejit Samal and Jürgen Jost

Sampling methods and estimation of triangle count distributions in large networks pp. S134-S156

Nelson Antunes, Tianjian Guo and Vladas Pipiras

Logic and learning in network cascades pp. S157-S174

Galen J. Wilkerson and Sotiris Moschoyiannis

Volume 9, month September, 2021

Robust coordination in adversarial social networks: From human behavior to agent-based modeling pp. 255-290

Chen Hajaj, Zlatko Joveski, Sixie Yu and Yevgeniy Vorobeychik

Separable and semiparametric network-based counting processes applied to the international combat aircraft trades pp. 291-311

Cornelius Fritz, Paul W. Thurner and Göran Kauermann

Efficient Laplacian spectral density computations for networks with arbitrary degree distributions pp. 312-327

Grover E. C. Guzman, Peter F. Stadler and André Fujita

Diffusion profile embedding as a basis for graph vertex similarity pp. 328-353

Scott Payne, Edgar Fuller, George Spirou and Cun-Quan Zhang

Investigating scientific mobility in co-authorship networks using multilayer temporal motifs pp. 354-386

Hanjo D. Boekhout, Vincent A. Traag and Frank W. Takes

Volume 9, month June, 2021

A network approach to measuring state preferences pp. 135-152

Max Gallop and Shahryar Minhas

Artificial Benchmark for Community Detection (ABCD)—Fast random graph model with community structure pp. 153-178

Bogumił Kamiński, Paweł Prałat and François Théberge

Edge overlap in weighted and directed social networks pp. 179-193

Heather Mattie and Jukka-Pekka Onnela

Functional disability and the role of children in U.S. older adults’ core discussion networks pp. 194-212

Markus H. Schafer and Laura Upenieks

The roles actors play in policy networks: Central positions in strongly institutionalized fields pp. 213-235

Karin Ingold, Manuel Fischer and Dimitris Christopoulos

A fused mixed-methods approach to thematic analysis of personal networks: Two case studies of caregiver support networks pp. 236-253

Reza Yousefi Nooraie, Bronwyn Thompson, D’Silva, Chelsea, Ian Zenlea, Maryam Tabatabaee and Ardavan Mohammad Aghaei

Volume 9, month March, 2021

Collaborative production networks among unequal actors pp. 1-17

Manuel Munoz, Jacob Dijkstra, Andreas Flache and Rafael Wittek

Social network change after moving into permanent supportive housing: Who stays and who goes? pp. 18-34

Harmony Rhoades, Hsun-ta Hsu, Eric Rice, Taylor Harris, Wichada La Motte-Kerr, Hailey Winetrobe, Benjamin Henwood and Suzanne Wenzel

Social cohesion emerging from a community-based physical activity program: A temporal network analysis pp. 35-48

Ana María Jaramillo, Felipe Montes, Olga L. Sarmiento, Ana Paola Ríos, Lisa G. Rosas, Ruth F. Hunter, Ana Lucía Rodríguez and Abby C. King

Superbubbles as an empirical characteristic of directed networks pp. 49-58

Fabian Gärtner, Felix Kühnl, Carsten R. Seemann, Christian Höner Zu Siederdissen and Peter F. Stadler

Single-seed cascades on clustered networks pp. 59-72

John K. McSweeney

Sensitivity analysis for network observations with applications to inferences of social influence effects pp. 73-98

Ran Xu and Kenneth A. Frank

Analysis of population functional connectivity data via multilayer network embeddings pp. 99-122

James D. Wilson, Melanie Baybay, Rishi Sankar, Paul Stillman and Abbie M. Popa

Imitation, network size, and efficiency pp. 123-133

Carlos Alós-Ferrer, Johannes Buckenmaier and Federica Farolfi