Each complex network (or class of networks) presents specific topological features which characterize its connectivity and highly influence the dynamics of processes executed on the …
We have produced gene expression profiles of all 302 neurons of the C. elegans nervous system that match the single-cell resolution of its anatomy and wiring diagram. Our results …
J Leskovec, R Sosič - ACM Transactions on Intelligent Systems and …, 2016 - dl.acm.org
Large networks are becoming a widely used abstraction for studying complex systems in a broad set of disciplines, ranging from social-network analysis to molecular biology and …
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the …
A large body of work has been devoted to defining and identifying clusters or communities in social and information networks, ie, in graphs in which the nodes represent underlying …
Random graph null models have found widespread application in diverse research communities analyzing network datasets, including social, information, and economic …
DJ Watts, PS Dodds - Journal of consumer research, 2007 - academic.oup.com
A central idea in marketing and diffusion research is that influentials—a minority of individuals who influence an exceptional number of their peers—are important to the …
Ownership is a key aspect of large-scale software development. We examine the relationship between different ownership measures and software failures in two large …
A large body of work has been devoted to identifying community structure in networks. A community is often though of as a set of nodes that has more connections between its …