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On an Efficient Marie Curie Initial Training Network
Collaboration networks strongly efficient networks cooperative game theory
2011/8/16
Abstract: Collaboration in science is one of the key components of world-class research. The European Commission supports collaboration between institutions and funds young researchers appointed by th...
SIR epidemics on a scale-free spatial nested modular network with a non-trivial threshold
Epidemics SIR Reed-Frost percolation long-range directed scale-free modular nested communities hierarchical
2011/8/30
Abstract: We propose a class of random scale-free spatial networks with nested community structures and analyze Reed-Frost epidemics with community related independent transmissions. We show that the ...
Standard Big-Bang Nucleosynthesis up to CNO with an improved extended nuclear network
Big-Bang Nucleosynthesis improved extended nuclear network
2011/9/28
Primordial or Big Bang nucleosynthesis (BBN) is one of the three strong evidences for the Big- Bang model together with the expansion of the Universe and the Cosmic Microwave Background radiation. In ...
Corporate competition: A self-organized network
Corporate competition self-organized network Adaptation and Self-Organizing Systems
2011/8/2
Abstract: A substantial number of studies have extended the work on universal properties in physical systems to complex networks in social, biological, and technological systems. In this paper, we pre...
Community Seismic Network
Seismology/Ground motion Instruments and techniques Seismic risk Computational geophysics/Algorithms and implementation Data dissemination/Seismological data
2014/4/10
The article describes the design of the Community Seismic Network, which is a dense open seismic network based on low cost sensors. The inputs are from sensors hosted by volunteers from the community ...
The Swiss Board Directors Network in 2009
Boards of directors Complex networks Corporate governance
2011/9/28
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....
Robust network community detection using balanced propagation
community detection propagation
2011/9/6
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...
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...
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...
Finding and testing network communities by lumped Markov chains
networks communities Markov chains random walks
2011/8/29
Identifying communities (or clusters), namely groups of nodes with comparatively strong internal connectivity, is a fundamental task for deeply understanding the structure and function of a network. Y...
Composite Social Network for Predicting Mobile Apps Installation
Social Network Mobile Apps
2011/9/9
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...
Chain Reaction of Mountainside Disasters and its Dispersing Impact on the Traffic and Transportation Network
Chain Reaction Dispersing Impact Inner Variable
2011/12/16
There are much mountainous areas in China. Mountainous traffic is greatly different from the plain.Interrelation of mountain landform and the traffic there is analyzed first. Because mountainous traff...
Harmful phytoplankton ecology studies using an autonomous molecular analytical and ocean observing network
Harmful phytoplankton ecology studies an autonomous molecular analytical ocean observing network
2014/4/8
Using autonomous molecular analytical devices embedded within an ocean observatory, we studied harmful algal bloom (HAB) ecology in the dynamic coastal waters of Monterey Bay, California. During studi...
Generalized versus non-generalized neural network model for multi-lead inflow forecasting at Aswan High Dam
non-generalized neural network model multi-lead inflow
2011/3/15
Artificial neural networks (ANN) have been found efficient, particularly in problems where characteristics of the processes are stochastic and difficult to describe using explicit mathematical models....