Higher-order interactions and Laplacian dynamics in complex networks: structure, dynamics and control

Project Information

HIntNets

Grant agreement ID: 702410

DOI 10.3030/702410

Project terminated on 1 June 2020

EC signature date 28 September 2016

Start date 1 July 2017

End date 18 August 2020

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 251 857,80

EU contribution € 251 857,80

Coordinated by

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
United Kingdom

Publications

Peer reviewed articles (11)

Exact Blind Community Detection From Signals on Multiple Graphs

Author(s): T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai, Santiago Segarra
Published in: IEEE Transactions on Signal Processing, Issue 68, 2020, Page(s) 5016-5030, ISSN 1053-587X
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tsp.2020.3016494

Entrograms and coarse graining of dynamics on complex networks

Author(s): Mauro Faccin, Michael T Schaub, Jean-Charles Delvenne
Published in: Journal of Complex Networks, Issue 6/5, 2017, Page(s) 661-678, ISSN 2051-1310
Publisher: Oxford University Press
DOI: 10.1093/comnet/cnx055

Multiscale dynamical embeddings of complex networks

Author(s): Michael T. Schaub, Jean-Charles Delvenne, Renaud Lambiotte, Mauricio Barahona
Published in: Physical Review E, Issue 99/6, 2019, Page(s) 062308, ISSN 2470-0053
Publisher: American Physical Society
DOI: 10.1103/PhysRevE.99.062308

Simplicial closure and higher-order link prediction

Author(s): Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, Jon Kleinberg
Published in: Proceedings of the National Academy of Sciences, Issue 115/48, 2018, Page(s) E11221-E11230, ISSN 0027-8424
Publisher: National Academy of Sciences
DOI: 10.1073/pnas.1800683115

Centrality measures for graphons: Accounting for uncertainty in networks

Author(s): Marco Avella-Medina, Francesca Parise, Michael Schaub, Santiago Segarra
Published in: IEEE Transactions on Network Science and Engineering, 2018, Page(s) 1-1, ISSN 2327-4697
Publisher: IEEE Computer Society
DOI: 10.1109/tnse.2018.2884235

Feedforward architectures driven by inhibitory interactions

Author(s): Yazan N. Billeh, Michael T. Schaub
Published in: Journal of Computational Neuroscience, Issue 44/1, 2018, Page(s) 63-74, ISSN 0929-5313
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10827-017-0669-1

Random multi-hopper model: super-fast random walks on graphs

Author(s): Ernesto Estrada, Jean-Charles Delvenne, Naomichi Hatano, José L Mateos, Ralf Metzler, Alejandro P Riascos, Michael T Schaub
Published in: Journal of Complex Networks, Issue 6/3, 2017, Page(s) 382-403, ISSN 2051-1310
Publisher: Oxford University Press
DOI: 10.1093/comnet/cnx043

Random Walks on Simplicial Complexes and the Normalized Hodge 1-Laplacian

Author(s): Michael T. Schaub, Austin R. Benson, Paul Horn, Gabor Lippner, Ali Jadbabaie
Published in: SIAM Review, Issue 62/2, 2020, Page(s) 353-391, ISSN 0036-1445
Publisher: Society for Industrial and Applied Mathematics
DOI: 10.1137/18m1201019

Network Inference From Consensus Dynamics With Unknown Parameters

Author(s): Yu Zhu, Michael T. Schaub, Ali Jadbabaie, Santiago Segarra
Published in: IEEE Transactions on Signal and Information Processing over Networks, Issue 6, 2020, Page(s) 300-315, ISSN 2373-776X
Publisher: IEEE
DOI: 10.1109/TSIPN.2020.2984499

Blind Identification of Stochastic Block Models from Dynamical Observations

Author(s): Michael T. Schaub, Santiago Segarra, John N. Tsitsiklis
Published in: SIAM Journal on Mathematics of Data Science, Issue 2/2, 2020, Page(s) 335-367, ISSN 2577-0187
Publisher: SIAM
DOI: 10.1137/19M1263340

State Aggregations in Markov Chains and Block Models of Networks

Author(s): Mauro Faccin, Michael T. Schaub, Jean-Charles Delvenne
Published in: Physical Review Letters, Issue 127/7, 2021, ISSN 0031-9007
Publisher: American Physical Society
DOI: 10.1103/physrevlett.127.078301

Conference proceedings (4)

FLOW SMOOTHING AND DENOISING: GRAPH SIGNAL PROCESSING IN THE EDGE-SPACE

Author(s): Michael T. Schaub, Santiago Segarra
Published in: 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018, Page(s) 735-739, ISBN 978-1-7281-1295-4
Publisher: IEEE
DOI: 10.1109/GlobalSIP.2018.8646701

Graph-based Semi-Supervised & Active Learning for Edge Flows

Author(s): Junteng Jia, Michael T. Schaub, Santiago Segarra, Austin R. Benson
Published in: 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’19), Issue August 4–8, 2019, 2019
Publisher: ACM
DOI: 10.1145/3292500.3330872

Spectral Partitioning of Time-varying Networks with Unobserved Edges

Author(s): Michael T. Schaub, Santiago Segarra, Hoi-To Wai
Published in: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Page(s) 4938-4942, ISBN 978-1-4799-8131-1
Publisher: IEEE
DOI: 10.1109/icassp.2019.8682815

Opinion Dynamics with Multi-Body Interactions

Author(s): Neuhäuser L, Schaub MT, Mellor A and Lambiotte R
Published in: International Conference on Network Games, Control and Optimisation, 2020
Publisher: n/a

Book chapters (2)

Structured Networks and Coarse-Grained Descriptions: A dynamical perspective

Author(s): Schaub, M.T.; Delvenne, J.-C.; Lambiotte, R., Barahona, M.
Published in: Advances in Network Clustering and Blockmodeling, 2019, Page(s) 333-361, ISBN 9781-119483298
Publisher: John Wiley and Sons Ltd

Different Approaches to Community Detection

Author(s): Rosvall, M.; Delvenne, J.-C.; Schaub, M.T., Lambiotte, R.
Published in: Advances in Network Clustering and Blockmodeling, 2019, Page(s) 105-119, ISBN 9781-119483298
Publisher: Wiley and Sons Ltd