Multilayer Network

[Jiashan]

Review

• The structure and dynamics of multilayer networks - ScienceDirect, 2014, # 2745
• Coevolution spreading in complex networks - ScienceDirect, 2019, # 175
• Multilayer networks, 2014, # 2982
• The physics of spreading processes in multilayer networks | Nature Physics, 2016, # 323
• Book: Multilayer Networks: Structure and Function, 2018, # 285
• Multilayer Networks in a Nutshell, 2018, # 157
• Nature reviews physics: Controlling Complex Networks with Complex Nodes
• Spreading Processes in Multilayer Networks | IEEE Journals & Magazine | IEEE Xplore
• Interacting Spreading Processes in Multilayer Networks: A Systematic Review | IEEE Journals & Magazine | IEEE Xplore
• Book: Multilayer Social Networks, 2016 # 165
• Book: Multilayer Networks, 2018, # 39
• A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization
  – section 7.6: multilayer IM
• Epidemics on multilayer simplicial complexes
  – multilayer and higher-order

Spectral view

• Phys. Rev. Lett. 110, 028701 (2013) - Diffusion Dynamics on Multiplex Networks
• Phys. Rev. E 88, 032807 (2013) - Spectral properties of the Laplacian of multiplex networks
• Phys. Rev. E 89, 052815 (2014) - Dimensionality reduction and spectral properties of multilayer networks

Multilayer Higher-order

• https://royalsocietypublishing.org/doi/abs/10.1098/rspa.2022.0059
• Phys. Rev. E 104, 034306 (2021) - Higher-order percolation processes on multiplex hypergraphs
• Phys. Rev. E 106, 034314 (2022) - Stability of synchronization in simplicial complexes with multiple interaction layers
• https://aip.scitation.org/doi/full/10.1063/5.0099183
• ShieldSquare Captcha

Coupled Dynamics

• Emotional Contagion in Physical–Cyber Integrated Networks: The Phase Transition Perspective | IEEE Journals & Magazine | IEEE Xplore
• Coupled disease–behavior dynamics on complex networks: A review # 399
• Coevolution spreading in complex networks - ScienceDirect
• https://royalsocietypublishing.org/doi/full/10.1098/rspa.2022.0059
• Competing spreading dynamics in simplicial complex - ScienceDirect
• https://aip.scitation.org/doi/full/10.1063/5.0004787
  – evolutionary game theory
• Interlayer link prediction in multiplex social networks: An iterative degree penalty algorithm - ScienceDirect
• Phys. Rev. Research 2, 023233 (2020) - Phase diagrams of interacting spreading dynamics in complex networks
  – develop a theory for interacting spreading dynamics on complex networks through spectral dimension reduction
• https://aip.scitation.org/doi/full/10.1063/5.0049281
• https://aip.scitation.org/doi/full/10.1063/5.0004787?casa_token=9o3B8yZ9YrQAAAAA%3A0wSYQioT-OA1D66-rs82NITkRZShA7LSKNINBFWDtypDNrYWUZ3GiybeSySR28ZFB_Ju40kzs8GJ
• The interaction of multiple information on multiplex social networks - ScienceDirect
• https://www.worldscientific.com/doi/abs/10.1142/S0218202521500536
• Coevolution of epidemic and infodemic on higher-order networks - ScienceDirect
• https://royalsocietypublishing.org/doi/full/10.1098/rsos.190305
• The coevolution of contagion and behavior with increasing and decreasing awareness
• Co-evolution dynamics of epidemic and information under dynamical multi-source information and behavioral responses - ScienceDirect
• [2210.11819] Coupled dynamics of endemic disease transmission and gradual awareness diffusion in multiplex networks
• Epidemic Propagation With Positive and Negative Preventive Information in Multiplex Networks | IEEE Journals & Magazine | IEEE Xplore

Code

• Pymnet GitHub - bolozna/Multilayer-networks-library: The original library for analysing multilayer networks. http://www.mkivela.com/pymnet/
• Pyplex GitHub - SkBlaz/py3plex: Py3plex - A multilayer complex network visualization and analysis library in python3

Visualization

• Multilayer Visualization
• https://www.researchgate.net/post/Python_or_R_packages_for_multilayer_network

Electrical Flows (with Laplacian)

• [1010.2921] Electrical Flows, Laplacian Systems, and Faster Approximation of Maximum Flow in Undirected Graphs
• Computing Maximum Flow with Augmenting Electrical Flows | IEEE Conference Publication | IEEE Xplore
• https://dl.acm.org/doi/abs/10.1145/2488608.2488704?casa_token=GpZG6DJDRx0AAAAA:B0ywNaTIO4EZIm9_smA8y7kBoXnAwLmRSedMe9Lo2OFDZjHTt8mCWlUtIXpkUEUKW0dxVVRV-shz
• Navigating Central Path with Electrical Flows: From Flows to Matchings, and Back | IEEE Conference Publication | IEEE Xplore

To Organize

• The multilayer nature of ecological networks | Nature Ecology & Evolution
  – ecological
• Phys. Rev. Lett. 111, 128701 (2013) - Dynamical Interplay between Awareness and Epidemic Spreading in Multiplex Networks
• Phys. Rev. Lett. 110, 028701 (2013) - Diffusion Dynamics on Multiplex Networks
• Catastrophic cascade of failures in interdependent networks | Nature
• https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/iet-cps.2016.0019
  – smart grid, interdependence effect
• Multilayer network simplification: Approaches, models and methods - ScienceDirect
  – multilayer simplification
• Community Detection in Multilayer Networks Via Semi-Supervised Joint Symmetric Nonnegative Matrix Factorization | IEEE Journals & Magazine | IEEE Xplore
  – multilayer network decomposition
• Interconnected multilayer networks: Quantifying connectedness among global stock and foreign exchange markets - ScienceDirect
  – Fintech dataset
• Suppressing traffic-driven epidemic spreading in multiplex networks by effective traffic-flow assignment strategy - ScienceDirect
• Network Properties for Robust Multilayer Infrastructure Systems: A Percolation Theory Review | IEEE Journals & Magazine | IEEE Xplore
  – A wow paper: This survey systematically reviews literature published between 2010 and 2021, on applying percolation theory to assess the robustness of infrastructure systems modeled as multilayer networks
• https://journals.sagepub.com/doi/full/10.1177/23998083221108190?casa_token=G4Ap3lMH9X8AAAAA%3AQrLkHoGyPUX5THMs6SQoKJOjtw2Cjj5XnEi2dEPpOCYmN3UaimMWg1rN6GDwch728medZO88YXSz
  – transporation dataset
• Cascading failures in multiplex network under flow redistribution - ScienceDirect
• https://aip.scitation.org/doi/full/10.1063/5.0087404?casa_token=I34zuvIZonkAAAAA%3AG2uHA8BTFfWE_lpI-M4jJWxJKwv1WW4XqynUSSuLSJDF5Ls6l542rhdwsn8sZusFwXVUa_yW8d3-
  – how to experiment the interplay between
• https://www.sciencedirect.com/science/article/pii/S0960077922003496?casa_token=61HWn109KgkAAAAA:mCIZD-5HPU_9sizRqe56Bz97CmPwBTQ3UekOAYjzssWZnXFMYSjz0TMTIl850FpruK2F_XsViQ
  – recover source and path together
• https://www.sciencedirect.com/science/article/pii/S0378437122009980?casa_token=VOyvjLoeKPcAAAAA:H2QBqda0LKwsJtV_vFHM9Vf-PGZ8sh-4nI13KRzy0XUcP3IFpcGnP6WMQ0jlim7aIkqT-LWP-w
  – trade–investment networks., potential dataset
• https://royalsocietypublishing.org/doi/full/10.1098/rspa.2022.0059?casa_token=TTsumgKudK8AAAAA%3Agt3jMuwFi_g3dhp1Tt0pXn_LcpZCheTJ-P6plyxyWyObsgf1WQ2kqFjZ15VY_Aip8MzX2lkqGRv6sg
  – information transmission rates are frequently low when actual disease transmission rates in the physical network are low or medium, and we show that this can be mitigated effectively by introducing 2-simplex interactions in the social network. The relative ease of introducing higher-order interactions in virtual social networks means that this could be exploited to inhibit epidemic outbreaks.
• https://journals.aps.org/pre/abstract/10.1103/PhysRevE.105.044305
  – how limit knowledge can break down the MLN
• https://www.mdpi.com/1999-5903/14/5/123
  – multi-layer to identify criminal activity
• https://www.sciencedirect.com/science/article/pii/S0306457322001960?casa_token=_ToOpnMfAM0AAAAA:YW8rddDEuvkRUJ_-KljPFaKNpTLPbq3vSXjLU5uFOo5ATO5AkLC4DE2oBeEKhbC-2sD7f1UfDQ
• https://www.sciencedirect.com/science/article/abs/pii/S0378437123000390?casa_token=76E8Ob3IWFUAAAAA:VDRPJVkONetk4_oo8ye9nIXmz2c0cyjzl6gBuKdjViXtrAl3794KU6QnKPZRh4eYqZfQp7lt8Q
• https://arxiv.org/abs/2206.07529
• Epidemics on multilayer simplicial complexes
• https://www.nature.com/articles/nphys2761, 2013, # 244
  – sharp transition as the interconnections are formed.
• https://www.nature.com/articles/s41467-017-01442-2, Nature Comm., 2017, # 68
  – related to IM!
• https://ieeexplore.ieee.org/abstract/document/8957067, 2020, # 79
  – positive and negative flows
• https://www.nature.com/articles/s41598-022-07249-6, Sci. Report, 2022
• https://iopscience.iop.org/article/10.1088/1742-5468/aabfcc/meta, 2018, # 64
  – related to IBM
• https://journals.aps.org/prx/abstract/10.1103/PhysRevX.5.011027， 2014， # 334
  – modular flows
• Coevolution spreading in complex networks - ScienceDirect, 2019, # 141
• https://www.sciencedirect.com/science/article/pii/S0378437117313304, 2018, # 56
• https://www.sciencedirect.com/science/article/pii/S0020025518306686, 2019, #106
• https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7611298/
• https://www.tandfonline.com/doi/full/10.1080/13658816.2017.1301455, 2017, # 71
  – social network and mobility
• https://www.frontiersin.org/articles/10.3389/fvets.2020.00596/full
• https://dl.acm.org/doi/abs/10.1145/2854006.2854013 Community detection survey #150
• https://journals.aps.org/rmp/abstract/10.1103/RevModPhys.87.925, 2015, #2755
• https://www.nature.com/articles/s41562-020-00994-6, 2020, #273
• https://ieeexplore.ieee.org/abstract/document/6824807
• https://www.sciencedirect.com/science/article/pii/S0370157316301570, 2016, #888
• https://www.nature.com/articles/ncomms7864, 2015, #490
• https://www.sciencedirect.com/science/article/pii/S0370157320302489, #383
• https://journals.aps.org/pre/abstract/10.1103/PhysRevE.90.012808, #271
• https://www.nature.com/articles/nature14604.pdf, Influence maximization in complex networks through optimal percolation, 2015, #840
• https://arxiv.org/abs/2106.07202
• https://www.sciencedirect.com/science/article/pii/S2352864818301135
• https://www.sciencedirect.com/science/article/pii/S0370157316301600, #391
• https://www.nature.com/articles/srep27823, #165
• https://journals.aps.org/pre/abstract/10.1103/PhysRevE.85.045102, #194, influence on multi-layer

High-order

• https://www.cambridge.org/core/elements/abs/higherorder-networks/26EE7ED4ECB114B2E231987C22759CDF
• https://arxiv.org/abs/2204.13067

Machine Learning Community

• ICML 21 https://icml.cc/virtual/2021/oral/8750
• IJCAI 18 Scalable Multiplex Network Embedding
• KDD 19 Representation Learning for Attributed Multiplex Heterogeneous Network, # 109
• ICML 22 Role-based Multiplex Network Embedding
• flow estimation: https://myrelated.work/t/source-identification/290

People

• https://webspace.maths.qmul.ac.uk/g.bianconi/
• https://www.barzellab.com

---

related

• Maximizing the spread of influence through a social network, # 9106
• https://www.nature.com/articles/s42254-020-00264-4
• https://www.sciencedirect.com/science/article/pii/S0370157320304269
• https://journals.aps.org/prx/abstract/10.1103/PhysRevX.6.041062
• https://www.sciencedirect.com/science/article/pii/S037015731830022X