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Mapping higher-order network flows in memory and multilayer networks
  with Infomap
v1v2 (latest)

Mapping higher-order network flows in memory and multilayer networks with Infomap

15 June 2017
Daniel Edler
Ludvig Bohlin
M. Rosvall
ArXiv (abs)PDFHTML

Papers citing "Mapping higher-order network flows in memory and multilayer networks with Infomap"

9 / 9 papers shown
Reliable data clustering with Bayesian community detection
Reliable data clustering with Bayesian community detection
Magnus Neuman
Jelena Smiljanić
M. Rosvall
107
1
0
16 Oct 2025
FlowHON: Representing Flow Fields Using Higher-Order Networks
FlowHON: Representing Flow Fields Using Higher-Order NetworksIEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
Nan Chen
Zhihong Li
Jun Tao
69
0
0
04 Dec 2023
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural
  Networks
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2023
Christopher Blöcker
Chester Tan
Ingo Scholtes
502
3
0
02 Oct 2023
Module-based regularization improves Gaussian graphical models when
  observing noisy data
Module-based regularization improves Gaussian graphical models when observing noisy dataApplied Network Science (Appl Netw Sci), 2023
Magnus Neuman
J. Calatayud
Viktor Tasselius
M. Rosvall
401
3
0
29 Mar 2023
Bayesian Detection of Mesoscale Structures in Pathway Data on Graphs
Bayesian Detection of Mesoscale Structures in Pathway Data on Graphs
Luka V. Petrović
Vincenzo Perri
147
1
0
16 Jan 2023
Cognitive modelling with multilayer networks: Insights, advancements and
  future challenges
Cognitive modelling with multilayer networks: Insights, advancements and future challenges
Massimo Stella
Salvatore Citraro
Giulio Rossetti
Daniele Marinazzo
Yoed N. Kenett
M. Vitevitch
266
1
0
02 Oct 2022
An adaptation of InfoMap to absorbing random walks using
  absorption-scaled graphs
An adaptation of InfoMap to absorbing random walks using absorption-scaled graphs
Esteban Vargas Bernal
M. A. Porter
J. Tien
431
1
0
21 Dec 2021
Predicting Influential Higher-Order Patterns in Temporal Network Data
Predicting Influential Higher-Order Patterns in Temporal Network DataInternational Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2021
Christoph Gote
Vincenzo Perri
Ingo Scholtes
AI4TS
222
2
0
26 Jul 2021
The Minimum Description Length Principle for Pattern Mining: A Survey
The Minimum Description Length Principle for Pattern Mining: A SurveyData mining and knowledge discovery (DMKD), 2020
E. Galbrun
AI4TS
565
31
0
28 Jul 2020
1
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