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Martin Rosvall
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- affiliation: Umeå University, Sweden
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2020 – today
- 2024
- [j12]Magnus Neuman, Joaquín Calatayud, Viktor Tasselius, Martin Rosvall:
Module-based regularization improves Gaussian graphical models when observing noisy data. Appl. Netw. Sci. 9(1): 6 (2024) - [i32]Minh H. Vu, Daniel Edler, Carl Wibom, Tommy Löfstedt, Beatrice Melin, Martin Rosvall:
A Correlation- and Mean-Aware Loss Function and Benchmarking Framework to Improve GAN-based Tabular Data Synthesis. CoRR abs/2405.16971 (2024) - 2023
- [j11]Anton Holmgren
, Daniel Edler
, Martin Rosvall
:
Mapping change in higher-order networks with multilevel and overlapping communities. Appl. Netw. Sci. 8(1): 42 (2023) - [i31]Magnus Neuman, Joaquín Calatayud, Viktor Tasselius, Martin Rosvall:
Module-based regularization improves Gaussian graphical models when observing noisy data. CoRR abs/2303.16796 (2023) - 2022
- [j10]Christopher Blöcker
, Juan Carlos Nieves
, Martin Rosvall
:
Map equation centrality: community-aware centrality based on the map equation. Appl. Netw. Sci. 7(1): 56 (2022) - [j9]Magnus Neuman, Viktor Jonsson, Joaquín Calatayud
, Martin Rosvall:
Cross-validation of correlation networks using modular structure. Appl. Netw. Sci. 7(1): 75 (2022) - [c4]Christopher Blöcker
, Jelena Smiljanic, Ingo Scholtes, Martin Rosvall:
Similarity-Based Link Prediction From Modular Compression of Network Flows. LoG 2022: 52 - [i30]Christopher Blöcker, Juan Carlos Nieves, Martin Rosvall:
Map Equation Centrality: A Community-Aware Centrality Score Based on the Map Equation. CoRR abs/2201.12590 (2022) - [i29]Christopher Blöcker, Jelena Smiljanic, Ingo Scholtes
, Martin Rosvall:
Similarity-based Link Prediction from Modular Compression of Network Flows. CoRR abs/2208.14220 (2022) - [i28]Alec Kirkley, Alexis Rojas, Martin Rosvall, Jean-Gabriel Young
:
Compressing network populations with modal networks reveals structural diversity. CoRR abs/2209.13827 (2022) - 2021
- [j8]Jelena Smiljanic
, Christopher Blöcker
, Daniel Edler
, Martin Rosvall
:
Mapping flows on weighted and directed networks with incomplete observations. J. Complex Networks 9(6) (2021) - [j7]Jelena Smiljanic
, Christopher Blöcker
, Daniel Edler
, Martin Rosvall
:
Correction to "Mapping flows on weighted and directed networks with incomplete observations". J. Complex Networks 10(2) (2021) - [i27]Jelena Smiljanic, Christopher Blöcker, Daniel Edler, Martin Rosvall:
Mapping flows on weighted and directed networks with incomplete observations. CoRR abs/2106.14798 (2021) - [i26]Aleix Bassolas, Anton Eriksson, Antoine Marot, Martin Rosvall, Vincenzo Nicosia:
Metadata-informed community detection with lazy encoding using absorbing random walks. CoRR abs/2111.05158 (2021) - [i25]Tina Eliassi-Rad, Vito Latora, Martin Rosvall, Ingo Scholtes:
Higher-Order Graph Models: From Theoretical Foundations to Machine Learning (Dagstuhl Seminar 21352). Dagstuhl Reports 11(7): 139-178 (2021) - 2020
- [i24]Christopher Blöcker
, Martin Rosvall:
Mapping Flows in Bipartite Networks. CoRR abs/2007.01666 (2020)
2010 – 2019
- 2019
- [i23]Joaquín Calatayud, Rubén Bernardo-Madrid
, Magnus Neuman, Alexis Rojas, Martin Rosvall:
Exploring the solution landscape enables more reliable network community detection. CoRR abs/1905.11230 (2019) - 2018
- [i22]Renaud Lambiotte, Martin Rosvall, Ingo Scholtes:
Understanding Complex Systems: From Networks to Optimal Higher-Order Models. CoRR abs/1806.05977 (2018) - 2017
- [j6]Daniel Edler, Ludvig Bohlin, Martin Rosvall
:
Mapping Higher-Order Network Flows in Memory and Multilayer Networks with Infomap. Algorithms 10(4): 112 (2017) - [j5]Michael T. Schaub
, Jean-Charles Delvenne, Martin Rosvall, Renaud Lambiotte
:
The many facets of community detection in complex networks. Appl. Netw. Sci. 2: 4 (2017) - [j4]Seung-Hee Bae, Daniel Halperin, Jevin D. West, Martin Rosvall, Bill Howe:
Scalable and Efficient Flow-Based Community Detection for Large-Scale Graph Analysis. ACM Trans. Knowl. Discov. Data 11(3): 32:1-32:30 (2017) - [i21]Daniel Edler, Ludvig Bohlin, Martin Rosvall:
Mapping higher-order network flows in memory and multilayer networks with Infomap. CoRR abs/1706.04792 (2017) - [i20]Ulf Aslak, Martin Rosvall, Sune Lehmann:
Constrained information flows in temporal networks reveal intermittent communities. CoRR abs/1711.07649 (2017) - [i19]Martin Rosvall, Jean-Charles Delvenne, Michael T. Schaub, Renaud Lambiotte:
Different approaches to community detection. CoRR abs/1712.06468 (2017) - 2016
- [j3]Ludvig Bohlin, Alcides Viamontes Esquivel, Andrea Lancichinetti, Martin Rosvall:
Robustness of journal rankings by network flows with different amounts of memory. J. Assoc. Inf. Sci. Technol. 67(10): 2527-2535 (2016) - [i18]Christian Persson, Ludvig Bohlin, Daniel Edler, Martin Rosvall:
Maps of sparse Markov chains efficiently reveal community structure in network flows with memory. CoRR abs/1606.08328 (2016) - [i17]Michael T. Schaub, Jean-Charles Delvenne, Martin Rosvall, Renaud Lambiotte:
The many facets of community detection in complex networks. CoRR abs/1611.07769 (2016) - 2015
- [j2]Renaud Lambiotte
, Vsevolod Salnikov, Martin Rosvall:
Effect of memory on the dynamics of random walks on networks. J. Complex Networks 3(2): 177-188 (2015) - [i16]Fariba Karimi, Ludvig Bohlin, Anna Samoilenko, Martin Rosvall, Andrea Lancichinetti:
Quantifying national information interests using the activity of Wikipedia editors. CoRR abs/1503.05522 (2015) - [i15]Tiago P. Peixoto, Martin Rosvall:
Modeling sequences and temporal networks with dynamic community structures. CoRR abs/1509.04740 (2015) - [i14]Masoumeh Kheirkhah, Andrea Lancichinetti, Martin Rosvall:
Efficient community detection of network flows for varying Markov times and bipartite networks. CoRR abs/1511.01540 (2015) - 2014
- [i13]Renaud Lambiotte, Vsevolod Salnikov, Martin Rosvall:
Effect of Memory on the Dynamics of Random Walks on Networks. CoRR abs/1401.0447 (2014) - [i12]Tatsuro Kawamoto, Martin Rosvall:
The map equation and the resolution limit in community detection. CoRR abs/1402.4385 (2014) - [i11]Ludvig Bohlin, Alcides Viamontes Esquivel, Andrea Lancichinetti, Martin Rosvall:
Robustness of journal rankings by network flows with different amounts of memory. CoRR abs/1405.7832 (2014) - [i10]Manlio De Domenico, Andrea Lancichinetti, Alex Arenas, Martin Rosvall:
Identifying modular flows on multilayer networks reveals highly overlapping organization in social systems. CoRR abs/1408.2925 (2014) - 2013
- [c3]Seung-Hee Bae, Daniel Halperin
, Jevin D. West
, Martin Rosvall, Bill Howe
:
Scalable Flow-Based Community Detection for Large-Scale Network Analysis. ICDM Workshops 2013: 303-310 - [i9]Martin Rosvall, Alcides Viamontes Esquivel, Andrea Lancichinetti, Jevin D. West, Renaud Lambiotte:
Networks with Memory. CoRR abs/1305.4807 (2013) - [i8]Atieh Mirshahvalad, Alcides Viamontes Esquivel, Ludvig Lizana, Martin Rosvall:
Dynamics of interacting information waves in networks. CoRR abs/1309.4576 (2013) - 2012
- [i7]Alcides Viamontes Esquivel, Martin Rosvall:
Comparing network covers using mutual information. CoRR abs/1202.0425 (2012) - [i6]Atieh Mirshahvalad, Olivier H. Beauchesne, Éric Archambault, Martin Rosvall:
Effect of resampling schemes on significance analysis of clustering and ranking. CoRR abs/1208.6157 (2012) - 2011
- [i5]Atieh Mirshahvalad, Martin Rosvall:
Reinforced communication and social navigation: remember your friends and remember yourself. CoRR abs/1101.5048 (2011) - [i4]Alcides Viamontes Esquivel, Martin Rosvall:
Compression of flow can reveal overlapping modular organization in networks. CoRR abs/1105.0812 (2011) - [i3]Atieh Mirshahvalad, Johan Lindholm, Mattias Derlen, Martin Rosvall:
Significant communities in large sparse networks. CoRR abs/1110.0305 (2011) - [i2]Renaud Lambiotte, Martin Rosvall:
Ranking and clustering of nodes in networks with smart teleportation. CoRR abs/1112.5252 (2011) - 2010
- [i1]Martin Rosvall, Carl T. Bergstrom:
Multilevel compression of random walks on networks reveals hierarchical organization in large integrated systems. CoRR abs/1010.0431 (2010)
2000 – 2009
- 2009
- [c2]Moritz Stefaner, Martin Rosvall, Carl T. Bergstrom
:
well-formed.eigenfactor: visualizing information flow in science. SIGGRAPH Talks 2009 - [c1]Moritz Stefaner, Martin Rosvall, Carl T. Bergstrom
:
well-formed.eigenfactor: visualizing information flow in science. SIGGRAPH Art Gallery 2009: 42:1 - 2007
- [j1]Martin Rosvall, Kim Sneppen
:
Networks and our Limited Information Horizon. Int. J. Bifurc. Chaos 17(7): 2509-2515 (2007)
Coauthor Index
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last updated on 2024-06-19 21:04 CEST by the dblp team
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