Journal
NATURE PHYSICS
Volume 15, Issue 4, Pages 403-+Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41567-018-0409-0
Keywords
-
Categories
Funding
- Planning and Budgeting Committee (PBC) of the Council for Higher Education, Israel
- INSPIRE-Faculty grant [IFA17-PH193]
- US National Science Foundation-CRISP [1735505]
- BIU Center for Research in Applied Cryptography and Cyber Security
- Israel National Directorate in the Prime Minister's office
- Ministry of Science & Technology, Israel
- Ministry of Foreign Affairs and International Cooperation General Directorate for Country Promotion, Italian Republic
Ask authors/readers for more resources
A major achievement in the study of complex networks is the realization that diverse systems, from sub-cellular biology to social networks, exhibit universal topological characteristics. Yet, such universality does not naturally translate to the dynamics of these systems, as dynamic behaviour cannot be uniquely predicted from topology alone. Rather, it depends on the interplay of the network's topology with the dynamic mechanisms of interaction between the nodes. Hence, systems with similar structure may exhibit profoundly different dynamic behaviour. We therefore seek a general theoretical framework to help us systematically translate topological elements into their predicted dynamic outcome. Here, we offer such a translation in the context of signal propagation, linking the topology of a network to the observed spatiotemporal spread of perturbative signals across it, thus capturing the network's role in propagating local information. For a range of nonlinear dynamic models, we predict that the propagation rules condense into three highly distinctive dynamic regimes, characterized by the interplay between network paths, degree distribution and the interaction dynamics. As a result, classifying a system's intrinsic interaction mechanisms into the relevant dynamic regime allows us to systematically translate topology into dynamic patterns of information propagation.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available