We study the dynamics of a simple bistable system driven by multiplicative correlated noise. Such system mimics the dynamics of classical attractor neural networks with an addition...
Developments in ubiquitous and pervasive computing herald a future in which computation is embedded into our daily lives. Such a vision raises important questions about how people...
We present SNAP (Small-world Network Analysis and Partitioning), an open-source graph framework for exploratory study and partitioning of large-scale networks. To illustrate the c...
Peer-to-peer (P2P) systems are slowly moving from application-specific architectures to a generic serviceoriented design framework. The idea is to allow a dynamic collection of P...
A lexical network is a very useful resource for natural language processing systems. However, building high quality lexical networks is a complex task. “Jeux de mots” is a web...