Martin Rosvall

53 papers Journal 49Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Unified Framework for Tabular Generative Modeling: Loss Functions, Benchmarks, and Improved Multi-objective Bayesian Optimization Approaches. Trans. Mach. Learn. Res. Minh H. Vu, Daniel Edler, Carl Wibom, Tommy Löfstedt, Beatrice Melin, Martin Rosvall
2026	J	`jnl`	Community Detection with the Map Equation and Infomap: Theory and Applications. ACM Comput. Surv. Jelena Smiljanic, Christopher Blöcker, Anton Holmgren, Daniel Edler, Magnus Neuman, Martin Rosvall
2025	J	`jnl`	Insights from Network Science can advance Deep Graph Learning. CoRR Christopher Blöcker, Martin Rosvall, Ingo Scholtes, Jevin D. West
2025	J	`jnl`	Reliable data clustering with Bayesian community detection. CoRR Magnus Neuman, Jelena Smiljanic, Martin Rosvall
2024	J	`jnl`	A Correlation- and Mean-Aware Loss Function and Benchmarking Framework to Improve GAN-based Tabular Data Synthesis. CoRR Minh H. Vu, Daniel Edler, Carl Wibom, Tommy Löfstedt, Beatrice Melin, Martin Rosvall
2024	J	`jnl`	Compressing regularised dynamics improves link prediction in sparse networks. CoRR Maja Lindström, Christopher Blöcker, Tommy Löfstedt, Martin Rosvall
2024	J	`jnl`	Module-based regularization improves Gaussian graphical models when observing noisy data. Appl. Netw. Sci. Magnus Neuman, Joaquín Calatayud, Viktor Tasselius, Martin Rosvall
2023	J	`jnl`	Mapping change in higher-order networks with multilevel and overlapping communities. Appl. Netw. Sci. Anton Holmgren, Daniel Edler, Martin Rosvall
2023	J	`jnl`	Module-based regularization improves Gaussian graphical models when observing noisy data. CoRR Magnus Neuman, Joaquín Calatayud, Viktor Tasselius, Martin Rosvall
2022	J	`jnl`	Compressing network populations with modal networks reveals structural diversity. CoRR Alec Kirkley, Alexis Rojas, Martin Rosvall, Jean-Gabriel Young
2022	J	`jnl`	Cross-validation of correlation networks using modular structure. Appl. Netw. Sci. Magnus Neuman, Viktor Jonsson, Joaquín Calatayud, Martin Rosvall
2022	J	`jnl`	Map Equation Centrality: A Community-Aware Centrality Score Based on the Map Equation. CoRR Christopher Blöcker, Juan Carlos Nieves, Martin Rosvall
2022	J	`jnl`	Map equation centrality: community-aware centrality based on the map equation. Appl. Netw. Sci. Christopher Blöcker, Juan Carlos Nieves, Martin Rosvall
2022	—	`conf`	Similarity-Based Link Prediction From Modular Compression of Network Flows. LoG Christopher Blöcker, Jelena Smiljanic, Ingo Scholtes, Martin Rosvall
2022	J	`jnl`	Similarity-based Link Prediction from Modular Compression of Network Flows. CoRR Christopher Blöcker, Jelena Smiljanic, Ingo Scholtes, Martin Rosvall
2021	J	`jnl`	Correction to "Mapping flows on weighted and directed networks with incomplete observations". J. Complex Networks Jelena Smiljanic, Christopher Blöcker, Daniel Edler, Martin Rosvall
2021	J	`jnl`	Higher-Order Graph Models: From Theoretical Foundations to Machine Learning (Dagstuhl Seminar 21352). Dagstuhl Reports Tina Eliassi-Rad, Vito Latora, Martin Rosvall, Ingo Scholtes
2021	J	`jnl`	Mapping flows on weighted and directed networks with incomplete observations. J. Complex Networks Jelena Smiljanic, Christopher Blöcker, Daniel Edler, Martin Rosvall
2021	J	`jnl`	Mapping flows on weighted and directed networks with incomplete observations. CoRR Jelena Smiljanic, Christopher Blöcker, Daniel Edler, Martin Rosvall
2021	J	`jnl`	Metadata-informed community detection with lazy encoding using absorbing random walks. CoRR Aleix Bassolas, Anton Eriksson, Antoine Marot, Martin Rosvall, Vincenzo Nicosia
2020	J	`jnl`	Mapping Flows in Bipartite Networks. CoRR Christopher Blöcker, Martin Rosvall
2019	J	`jnl`	Exploring the solution landscape enables more reliable network community detection. CoRR Joaquín Calatayud, Rubén Bernardo-Madrid, Magnus Neuman, Alexis Rojas, Martin Rosvall
2018	J	`jnl`	Understanding Complex Systems: From Networks to Optimal Higher-Order Models. CoRR Renaud Lambiotte, Martin Rosvall, Ingo Scholtes
2017	J	`jnl`	Constrained information flows in temporal networks reveal intermittent communities. CoRR Ulf Aslak, Martin Rosvall, Sune Lehmann
2017	J	`jnl`	Different approaches to community detection. CoRR Martin Rosvall, Jean-Charles Delvenne, Michael T. Schaub, Renaud Lambiotte
2017	J	`jnl`	Mapping Higher-Order Network Flows in Memory and Multilayer Networks with Infomap. Algorithms Daniel Edler, Ludvig Bohlin, Martin Rosvall
2017	J	`jnl`	Mapping higher-order network flows in memory and multilayer networks with Infomap. CoRR Daniel Edler, Ludvig Bohlin, Martin Rosvall
2017	J	`jnl`	Scalable and Efficient Flow-Based Community Detection for Large-Scale Graph Analysis. ACM Trans. Knowl. Discov. Data Seung-Hee Bae, Daniel Halperin, Jevin D. West, Martin Rosvall, Bill Howe
2017	J	`jnl`	The many facets of community detection in complex networks. Appl. Netw. Sci. Michael T. Schaub, Jean-Charles Delvenne, Martin Rosvall, Renaud Lambiotte
2016	J	`jnl`	Maps of sparse Markov chains efficiently reveal community structure in network flows with memory. CoRR Christian Persson, Ludvig Bohlin, Daniel Edler, Martin Rosvall
2016	J	`jnl`	Robustness of journal rankings by network flows with different amounts of memory. J. Assoc. Inf. Sci. Technol. Ludvig Bohlin, Alcides Viamontes Esquivel, Andrea Lancichinetti, Martin Rosvall
2016	J	`jnl`	The many facets of community detection in complex networks. CoRR Michael T. Schaub, Jean-Charles Delvenne, Martin Rosvall, Renaud Lambiotte
2015	J	`jnl`	Effect of memory on the dynamics of random walks on networks. J. Complex Networks Renaud Lambiotte, Vsevolod Salnikov, Martin Rosvall
2015	J	`jnl`	Efficient community detection of network flows for varying Markov times and bipartite networks. CoRR Masoumeh Kheirkhah, Andrea Lancichinetti, Martin Rosvall
2015	J	`jnl`	Modeling sequences and temporal networks with dynamic community structures. CoRR Tiago P. Peixoto, Martin Rosvall
2015	J	`jnl`	Quantifying national information interests using the activity of Wikipedia editors. CoRR Fariba Karimi, Ludvig Bohlin, Anna Samoilenko, Martin Rosvall, Andrea Lancichinetti
2014	J	`jnl`	Effect of Memory on the Dynamics of Random Walks on Networks. CoRR Renaud Lambiotte, Vsevolod Salnikov, Martin Rosvall
2014	J	`jnl`	Identifying modular flows on multilayer networks reveals highly overlapping organization in social systems. CoRR Manlio De Domenico, Andrea Lancichinetti, Alex Arenas, Martin Rosvall
2014	J	`jnl`	Robustness of journal rankings by network flows with different amounts of memory. CoRR Ludvig Bohlin, Alcides Viamontes Esquivel, Andrea Lancichinetti, Martin Rosvall
2014	J	`jnl`	The map equation and the resolution limit in community detection. CoRR Tatsuro Kawamoto, Martin Rosvall
2013	J	`jnl`	Dynamics of interacting information waves in networks. CoRR Atieh Mirshahvalad, Alcides Viamontes Esquivel, Ludvig Lizana, Martin Rosvall
2013	J	`jnl`	Networks with Memory CoRR Martin Rosvall, Alcides Viamontes Esquivel, Andrea Lancichinetti, Jevin D. West, Renaud Lambiotte
2013	—	`conf`	Scalable Flow-Based Community Detection for Large-Scale Network Analysis. ICDM Workshops Seung-Hee Bae, Daniel Halperin, Jevin D. West, Martin Rosvall, Bill Howe
2012	J	`jnl`	Comparing network covers using mutual information CoRR Alcides Viamontes Esquivel, Martin Rosvall
2012	J	`jnl`	Effect of resampling schemes on significance analysis of clustering and ranking CoRR Atieh Mirshahvalad, Olivier H. Beauchesne, Éric Archambault, Martin Rosvall
2011	J	`jnl`	Compression of flow can reveal overlapping modular organization in networks CoRR Alcides Viamontes Esquivel, Martin Rosvall
2011	J	`jnl`	Ranking and clustering of nodes in networks with smart teleportation CoRR Renaud Lambiotte, Martin Rosvall
2011	J	`jnl`	Reinforced communication and social navigation: remember your friends and remember yourself CoRR Atieh Mirshahvalad, Martin Rosvall
2011	J	`jnl`	Significant communities in large sparse networks CoRR Atieh Mirshahvalad, Johan Lindholm, Mattias Derlen, Martin Rosvall
2010	J	`jnl`	Multilevel compression of random walks on networks reveals hierarchical organization in large integrated systems CoRR Martin Rosvall, Carl T. Bergstrom
2009	—	`conf`	well-formed.eigenfactor: visualizing information flow in science. SIGGRAPH Talks Moritz Stefaner, Martin Rosvall, Carl T. Bergstrom
2009	—	`conf`	well-formed.eigenfactor: visualizing information flow in science. SIGGRAPH Art Gallery Moritz Stefaner, Martin Rosvall, Carl T. Bergstrom
2007	J	`jnl`	Networks and our Limited Information Horizon. Int. J. Bifurc. Chaos Martin Rosvall, Kim Sneppen