Networks and our Limited Information Horizon. - Martin Rosvall; Kim Sneppen (Int. J. Bifurc. Chaos, 2007)

well-formed.eigenfactor: visualizing information flow in science. - Moritz Stefaner; Martin Rosvall; Carl T. Bergstrom (SIGGRAPH Talks, 2009)

Multilevel compression of random walks on networks reveals hierarchical organization in large integrated systems - Martin Rosvall; Carl T. Bergstrom (CoRR, 2010)

Reinforced communication and social navigation: remember your friends and remember yourself - Atieh Mirshahvalad; Martin Rosvall (CoRR, 2011)

Compression of flow can reveal overlapping modular organization in networks - Alcides Viamontes Esquivel; Martin Rosvall (CoRR, 2011)

Significant communities in large sparse networks - Atieh Mirshahvalad; Johan Lindholm; Mattias Derlen; Martin Rosvall (CoRR, 2011)

Ranking and clustering of nodes in networks with smart teleportation - Renaud Lambiotte; Martin Rosvall (CoRR, 2011)

Comparing network covers using mutual information - Alcides Viamontes Esquivel; Martin Rosvall (CoRR, 2012)

Effect of resampling schemes on significance analysis of clustering and ranking - Atieh Mirshahvalad; Olivier H. Beauchesne; Éric Archambault; Martin Rosvall (CoRR, 2012)

Scalable Flow-Based Community Detection for Large-Scale Network Analysis. - Seung-Hee Bae; Daniel Halperin; Jevin D. West; Martin Rosvall; Bill Howe (ICDM Workshops, 2013)

Dynamics of interacting information waves in networks. - Atieh Mirshahvalad; Alcides Viamontes Esquivel; Ludvig Lizana; Martin Rosvall (CoRR, 2013)

Networks with Memory - Martin Rosvall; Alcides Viamontes Esquivel; Andrea Lancichinetti; Jevin D. West; Renaud Lambiotte (CoRR, 2013)

Identifying modular flows on multilayer networks reveals highly overlapping organization in social systems. - Manlio De Domenico; Andrea Lancichinetti; Alex Arenas; Martin Rosvall (CoRR, 2014)

The map equation and the resolution limit in community detection. - Tatsuro Kawamoto; Martin Rosvall (CoRR, 2014)

Effect of memory on the dynamics of random walks on networks. - Renaud Lambiotte; Vsevolod Salnikov; Martin Rosvall (J. Complex Networks, 2015)

Quantifying national information interests using the activity of Wikipedia editors. - Fariba Karimi 001; Ludvig Bohlin; Anna Samoilenko; Martin Rosvall; Andrea Lancichinetti (CoRR, 2015)

Efficient community detection of network flows for varying Markov times and bipartite networks. - Masoumeh Kheirkhah; Andrea Lancichinetti; Martin Rosvall (CoRR, 2015)

Modeling sequences and temporal networks with dynamic community structures. - Tiago P. Peixoto; Martin Rosvall (CoRR, 2015)

Maps of sparse Markov chains efficiently reveal community structure in network flows with memory. - Christian Persson; Ludvig Bohlin; Daniel Edler; Martin Rosvall (CoRR, 2016)

Robustness of journal rankings by network flows with different amounts of memory. - Ludvig Bohlin; Alcides Viamontes Esquivel; Andrea Lancichinetti; Martin Rosvall (J. Assoc. Inf. Sci. Technol., 2016)

Mapping Higher-Order Network Flows in Memory and Multilayer Networks with Infomap. - Daniel Edler; Ludvig Bohlin; Martin Rosvall (Algorithms, 2017)

The many facets of community detection in complex networks. - Michael T. Schaub; Jean-Charles Delvenne; Martin Rosvall; Renaud Lambiotte (Appl. Netw. Sci., 2017)

Constrained information flows in temporal networks reveal intermittent communities. - Ulf Aslak; Martin Rosvall; Sune Lehmann (CoRR, 2017)

Different approaches to community detection. - Martin Rosvall; Jean-Charles Delvenne; Michael T. Schaub; Renaud Lambiotte (CoRR, 2017)

Scalable and Efficient Flow-Based Community Detection for Large-Scale Graph Analysis. - Seung-Hee Bae; Daniel Halperin; Jevin D. West; Martin Rosvall; Bill Howe (ACM Trans. Knowl. Discov. Data, 2017)

Understanding Complex Systems: From Networks to Optimal Higher-Order Models. - Renaud Lambiotte; Martin Rosvall; Ingo Scholtes (CoRR, 2018)

Exploring the solution landscape enables more reliable network community detection. - Joaquín Calatayud; Rubén Bernardo-Madrid; Magnus Neuman; Alexis Rojas; Martin Rosvall (CoRR, 2019)

Mapping Flows in Bipartite Networks. - Christopher Blöcker; Martin Rosvall (CoRR, 2020)

Mapping flows on weighted and directed networks with incomplete observations. - Jelena Smiljanic; Christopher Blöcker; Daniel Edler; Martin Rosvall (J. Complex Networks, 2021)

Correction to "Mapping flows on weighted and directed networks with incomplete observations". - Jelena Smiljanic; Christopher Blöcker; Daniel Edler; Martin Rosvall (J. Complex Networks, 2021)

Metadata-informed community detection with lazy encoding using absorbing random walks. - Aleix Bassolas; Anton Eriksson; Antoine Marot; Martin Rosvall; Vincenzo Nicosia (CoRR, 2021)

Higher-Order Graph Models: From Theoretical Foundations to Machine Learning (Dagstuhl Seminar 21352). - Tina Eliassi-Rad; Vito Latora; Martin Rosvall; Ingo Scholtes (Dagstuhl Reports, 2021)

Similarity-Based Link Prediction From Modular Compression of Network Flows. - Christopher Blöcker; Jelena Smiljanic; Ingo Scholtes; Martin Rosvall (LoG, 2022)

Map equation centrality: community-aware centrality based on the map equation. - Christopher Blöcker; Juan Carlos Nieves; Martin Rosvall (Appl. Netw. Sci., 2022)

Cross-validation of correlation networks using modular structure. - Magnus Neuman; Viktor Jonsson; Joaquín Calatayud; Martin Rosvall (Appl. Netw. Sci., 2022)

Map Equation Centrality: A Community-Aware Centrality Score Based on the Map Equation. - Christopher Blöcker; Juan Carlos Nieves; Martin Rosvall (CoRR, 2022)

Compressing network populations with modal networks reveals structural diversity. - Alec Kirkley; Alexis Rojas; Martin Rosvall; Jean-Gabriel Young (CoRR, 2022)

Mapping change in higher-order networks with multilevel and overlapping communities. - Anton Holmgren; Daniel Edler; Martin Rosvall (Appl. Netw. Sci., 2023)

A Correlation- and Mean-Aware Loss Function and Benchmarking Framework to Improve GAN-based Tabular Data Synthesis. - Minh H. Vu; Daniel Edler; Carl Wibom; Tommy Löfstedt; Beatrice Melin; Martin Rosvall (CoRR, 2024)

Compressing regularised dynamics improves link prediction in sparse networks. - Maja Lindström; Christopher Blöcker; Tommy Löfstedt; Martin Rosvall (CoRR, 2024)

Module-based regularization improves Gaussian graphical models when observing noisy data. - Magnus Neuman; Joaquín Calatayud; Viktor Tasselius; Martin Rosvall (Appl. Netw. Sci., 2024)

Insights from Network Science can advance Deep Graph Learning. - Christopher Blöcker; Martin Rosvall; Ingo Scholtes; Jevin D. West (CoRR, 2025)

Reliable data clustering with Bayesian community detection. - Magnus Neuman; Jelena Smiljanic; Martin Rosvall (CoRR, 2025)