Connectivity-Driven Coherence in Complex Networks

We study the emergence of coherence in complex networks of mutually coupled non-identical elements. We uncover the precise dependence of the dynamical coherence on the network connectivity, on the isolated dynamics of the elements and the coupling function. These findings predict that in random graphs, the enhancement of coherence is proportional to the mean degree. In locally connected networks, coherence is no longer controlled by the mean degree, but rather on how the mean degree scales with the network size. In these networks, even when the coherence is absent, adding a fraction s of random connections leads to an enhancement of coherence proportional to s. Our results provide a way to control the emergent properties by the manipulation of the dynamics of the elements and the network connectivity.Comment: 4 pages, 2 figure

Universities as Living Labs for sustainable development : a global perspective

Walter Leal Filho, Baltazar Andrade Guerra, Mark Mifsud and Rudi Pretorius use case studies from Brazil, Malta and South Africa to reflect on how the Living Labs approach can contribute towards a more sustainable futurepeer-reviewe