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Synchrony is one of the most common dynamical states emerging on networks. The speed of convergence towards synchrony provides a fundamental collective time scale for synchronizing systems. Here we st...
We study the networks formed by the directors of the most important Swiss boards and the boards themselves for the year 2009. The networks are obtained by projection from the original bipartite graph....
Label propagation has proven to be an extremely fast method for detecting communities in large complex networks. Furthermore, due to its simplicity, it is also currently one of the most commonly adopt...
Sybil accounts are fake identities created to unfairly increase the power or resources of a singlemalicious user. Researchers have long known about the existence of Sybil accounts in online communitie...
Abstract—We show a simple method for constructing an infinite family of graph formation games with link bias so that the resulting games admits, as a pairwise stable solution, a graph with an arbitra...
We have carefully instrumented a large portion of the population living in a university graduate dormitory by giving participants Android smart phones running our sensing software. In this paper, we p...
Network diversity yields context-dependent benefits that are not yet fully-understood. I elaborate on a recently introduced distinction between tie strength diversity and information source diversity...
In a recent paper [M. Huber {\it et al}, Phys. Rev. Lett. {\bf 104}, 210501 (2010)] new criteria to find out the presence of multipartite entanglement have been given. We exploit these tools in order ...
It is known that there is a phenomenon called "parameter degeneracy" in neutrino oscillation measurement of lepton mixing parameters; A set of the oscillation probabilities, e.g., P(nu_mu --> nu_e) an...
We conduct a market experiment with human agents in order to explore the structure of transaction networks and to study the dynamics of wealth accumulation. The experiment is carried out on our platfo...
We have previously described neurotic psychopathology and psychoanalytic working-through by an associative memory mechanism, based on a neural network. Memory was initially modelled by a Boltzmann mac...

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