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Signal propagation in complex networksJi, Peng ...Signal propagation in complex networks drives epidemics, is responsible for information going viral, promotes trust and facilitates moral behavior in social groups, enables the development of ... misinformation detection algorithms, and it is the main pillar supporting the fascinating cognitive abilities of the brain, to name just some examples. The geometry of signal propagation is determined as much by the network topology as it is by the diverse forms of nonlinear interactions that may take place between the nodes. Advances are therefore often system dependent and have limited translational potential across domains. Given over two decades worth of research on the subject, the time is thus certainly ripe, indeed the need is urgent, for a comprehensive review of signal propagation in complex networks. We here first survey different models that determine the nature of interactions between the nodes, including epidemic models, Kuramoto models, diffusion models, cascading failure models, and models describing neuronal dynamics. Secondly, we cover different types of complex networks and their topologies, including temporal networks, multilayer networks, and neural networks. Next, we cover network time series analysis techniques that make use of signal propagation, including network correlation analysis, information transfer and nonlinear correlation tools, network reconstruction, source localization and link prediction, as well as approaches based on artificial intelligence. Lastly, we review applications in epidemiology, social dynamics, neuroscience, engineering, and robotics. Taken together, we thus provide the reader with an up-to-date review of the complexities associated with the network’s role in propagating signals in the hope of better harnessing this to devise innovative applications across engineering, the social and natural sciences as well as to inspire future research.Source: Physics reports. - ISSN 0370-1573 (Vol. 1017, 2023, str. 1-96)Type of material - article, component partPublish date - 2023Language - englishCOBISS.SI-ID - 148444931
Author
Ji, Peng |
Ye, Jiachen |
Mu, Yu |
Lin, Wei |
Tian, Yang |
Hens, Chittaranjan |
Perc, Matjaž |
Tang, Yang |
Sun, Jie, fizik |
Kurths, Jürgen, 1953-
Topics
propagacija signalov |
kompleksno omrežje |
nelinearna dinamika |
ne zaključna dela |
signal propagation |
complex networks |
nonlinear dynamic
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Author | Ji, Peng ... |
Title | Signal propagation in complex networks |
Publication date | 2023-04-04 |
COBISS.SI-ID | 148444931 |
Publication version in repository | Unidentified |
Publication licence | Unidentified |
Embargo | Unidentified |
Project(s) from which the publication was funded
Title | Acronym | Project ID | Funder |
---|---|---|---|
Računsko intenzivni kompleksni sistemi | P1-0403-2019 |
Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije |
|
Fazni prehodi proti koordinaciji v večplastnih omrežjih | J1-2457-2020 |
Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije |
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Ji, Peng | ![]() |
Ye, Jiachen | ![]() |
Mu, Yu | ![]() |
Lin, Wei | ![]() |
Tian, Yang | ![]() |
Hens, Chittaranjan | ![]() |
Perc, Matjaž | 23428 |
Tang, Yang | ![]() |
Sun, Jie, fizik | ![]() |
Kurths, Jürgen, 1953- | ![]() |
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