Oscillations in networks of networks stem from adaptive nodes with memory

Amir Goldental, Herut Uzan, Shira Sardi, Ido Kanter

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


We present an analytical framework that allows the quantitative study of statistical dynamic properties of networks with adaptive nodes that have memory and is used to examine the emergence of oscillations in networks with response failures. The frequency of the oscillations was quantitatively found to increase with the excitability of the nodes and with the average degree of the network and to decrease with delays between nodes. For networks of networks, diverse cluster oscillation modes were found as a function of the topology. Analytical results are in agreement with large-scale simulations and open the horizon for understanding network dynamics composed of finite memory nodes as well as their different phases of activity.

Original languageEnglish
Article number2700
JournalScientific Reports
Issue number1
StatePublished - 2 Jun 2017

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© 2017 The Author(s).


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