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Community detection, link prediction, and layer interdependence in multilayer networks
2017
Physical review. E
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In this work we present a generative model, and an efficient expectation-maximization algorithm, which allows us to perform inference tasks such as community detection and link prediction in this setting ...
It also gives us a mathematically principled way to define the interdependence between layers, by measuring how much information about one layer helps us predict links in another layer. ...
LINK PREDICTION AND LAYER INTERDEPENDENCE IN REAL NETWORKS To demonstrate our MULTITENSOR model and algorithm beyond synthetic data, we apply it to two real-world multilayer networks. ...
doi:10.1103/physreve.95.042317
pmid:28505768
fatcat:vya2uoubqjfkhi4hx6ton6nree
Layer reconstruction and missing link prediction of multilayer network with Maximum A Posteriori estimation
[article]
2021
arXiv
pre-print
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Nevertheless, some layers are interdependent or structurally similar in the multilayer network. ...
With this model, we can also predict missing links and direct experiments for finding potential links. ...
Paper [8] extended the single layer stochastic block model to multilayer networks and used it to predict missing links and detect overlapping communities. ...
arXiv:2101.02733v1
fatcat:yyjeokdnczch7lw6m757n57pki
Constrained information flows in temporal networks reveal intermittent communities
2018
Physical review. E
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We implement our node-level coupling method in the community detection framework Infomap and demonstrate its performance compared to current methods on synthetic and real temporal networks. ...
modes with different groups and better identify intermittent communities in real temporal contact networks. ...
SL was funded by the Danish Council for Independent Research, grant number 4184-00556a, and the Villum Foundation 'High resolution networks'. ...
doi:10.1103/physreve.97.062312
pmid:30011557
fatcat:rscl44zknbeqfph375bicbdfmm
Multilayer Networks in a Nutshell
2018
Annual Review of Condensed Matter Physics
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However, real systems are more often than not interconnected, with many interdependencies that are not properly captured by single layer networks. ...
During the last two decades, network science has provided many insights in natural, social, biological and technological systems. ...
Methods have also been developed to detect overlapping communities (34) and to study the detectability (35) of community structures in stochastic block models (36) (37) (38) . ...
doi:10.1146/annurev-conmatphys-031218-013259
fatcat:sjpyl3vih5h6tc5makibpyhdb4
Evolutionary games on multilayer networks: a colloquium
2015
European Physical Journal B : Condensed Matter Physics
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This colloquium is devoted to evolutionary games on multilayer networks, and in particular to the evolution of cooperation as one of the main pillars of modern human societies. ...
We first give an overview of the most significant conceptual differences between single-layer and multilayer networks, and we provide basic definitions and a classification of the most commonly used terms ...
In addition, inter-layer links for interdependent networks and interconnected networks are different. ...
doi:10.1140/epjb/e2015-60270-7
fatcat:syvsppi43ve6xfxctsjkxpsupm
Guest Editorial Introduction to the Special Section on Reloading Feature-Rich Information Networks
2021
IEEE Transactions on Network Science and Engineering
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and link prediction, to community detection, from mitigation and restoration in response to cascading node failures, to network anonymization, to new models and applications in finance network, and communication ...
In "Scalable Community Detection for Complex Data Graphs via Hyperbolic Network Embedding and Graph Databases," Tsitseklis et al. propose an enhancement of a Girvan-Newmanlike community detection approach ...
doi:10.1109/tnse.2021.3073824
fatcat:vdd4jtbiefa6pee3bhfzonhp4q
The use of multilayer network analysis in animal behaviour
[article]
2018
arXiv
pre-print
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In this article, we review common questions in animal behaviour that can be studied using a multilayer approach, and we link these questions to specific analyses. ...
Finally, we discuss caveats to undertaking multilayer network analysis in the study of animal social networks, and we call attention to methodological challenges for the application of these approaches ...
thoughts and conversations about multilayer networks that helped instigate this collaboration. ...
arXiv:1712.01790v4
fatcat:lkgoj53ytbbldebozdnghvrgom
Robustness and lethality in multilayer biological molecular networks
2020
Nature Communications
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We integrate heterogeneous sources of data to construct a multilayer interaction network composed of a gene regulatory layer, a protein–protein interaction layer, and a metabolic layer. ...
Finally, we analytically derive the expected robustness of multilayer biological networks starting from the degree distributions within and between layers. ...
(grants D700382 and CV-19). ...
doi:10.1038/s41467-020-19841-3
pmid:33247151
fatcat:bekp3trx3zcfhffmj3xz5shn7e
Spreading Processes in Multilayer Networks
2015
IEEE Transactions on Network Science and Engineering
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In this paper we review the main models, results and applications of multilayer spreading processes and discuss some promising research directions. ...
in these networks. ...
In an interconnected network with two layers A and B, let k AA and k AB (resp. k BB and k BA ) be the number of a node intra-layer links and inter-layer links. ...
doi:10.1109/tnse.2015.2425961
fatcat:jtgndn7h3rdvnbhzo3ylvrojem
Multilayer networks reveal the spatial structure of seed-dispersal interactions across the Great Rift landscapes
2018
Nature Communications
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We show that the overall seed-dispersal network is composed by spatially explicit communities of dispersers spanning across habitats, functionally linking the landscape mosaic. ...
Multilayer modularity cannot be predicted by null models randomizing either interactions within each habitat or those linking habitats; however, as habitat connectivity increases, random processes become ...
In the aggregated network, the average number of modules detected was 11.4, which was in line with those detected in the multilayer network (Supplementary Fig. 3 and Fig. 2), and significantly higher than ...
doi:10.1038/s41467-017-02658-y
pmid:29321529
pmcid:PMC5762785
fatcat:vrwvfw64vjgyzk5wt5cfgz7s64
The structure and dynamics of multilayer networks
2014
Physics reports
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the time-varying and multilayer nature of networks. ...
redefinition of the basic structural measures, to understanding how the multilayer nature of the network affects processes and dynamics. ...
132
Nation 2 Nation 1 Nation 1 SatCom Nation 1 UHF Network1 Nation 1 VHF Network Nation 1 UHF Network2 Nation 2 UHF Network Furthermore, a part of the material quoted in our presentation was taken from ...
doi:10.1016/j.physrep.2014.07.001
pmid:32834429
pmcid:PMC7332224
fatcat:5y6wdkop2nd75kwnla4by2icqy
TOWER: Topology Optimization for netWork Enhanced Resilience
2016
Proceedings of the 13th International Joint Conference on e-Business and Telecommunications
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For doing this, TOWER takes into account a risk analysis of the CNI, the results from a cyber-physical IDS and a multilayer model of the network, for taking into account all the existing dependences. ...
Critical network infrastructures (CNI) are communication networks whose disruption can create a severe impact on other systems including critical infrastructures. ...
The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the ...
doi:10.5220/0006017101210128
dblp:conf/icete/HozGLMO16
fatcat:nb7bnv2xjngajb6la4up3lmabi
A survey of community detection methods in multilayer networks
2020
Data mining and knowledge discovery
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Thus, in this paper, we offer overall comparisons of existing works and analyze several representative algorithms, providing a comprehensive understanding of community detection methods in multilayer networks ...
Communities in a single-layer network are groups of nodes that are more strongly connected among themselves than the others, while in multilayer networks, a group of well-connected nodes are shared in ...
Acknowledgements We would like to thank the anonymous reviewers for their careful reading and useful comments that helped us to improve the final version of this paper. ...
doi:10.1007/s10618-020-00716-6
fatcat:z3arrhq52fd6fiosfawtdr2hbq
Species activity promote the stability of fruit-frugivore interactions across a five-year multilayer network
[article]
2018
bioRxiv
pre-print
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a simple and powerful index of species importance for multilayer network cohesion. ...
Although biological communities are intrinsically dynamic, with both, species and interactions changing over time, interaction networks analyses to date are still largely static. ...
This work was financed by FCT/MEC through national funds and co-funded by FEDER, within the ...
doi:10.1101/421941
fatcat:fr3jrcnubbeevhmqxfwcem6byu
Multidimensional epidemic thresholds in diffusion processes over interdependent networks
2015
Chaos, Solitons & Fractals
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2014 pre-print arXiv:1412.7993v1 fatcat:frhf2ngilrhhxix2hee6w3tai4
In this paper we propose a new concept of multidimensional epidemic threshold characterizing diffusion processes over interdependent networks, allowing different diffusion rates on the different networks ...
We analytically derive and numerically illustrate the conditions for multilayer epidemics, i.e., the appearance of a giant connected component spanning all the networks. ...
has been partly funded by FIRB project Information monitoring, propagation analysis and community detection in Social Network Sites. constrained inside a single network. ...
doi:10.1016/j.chaos.2014.12.018
fatcat:2qmzd6kpxrg57a45ch5x2opecm
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