The special issue on Statistical Analysis of Networks aspires to convey the breadth and depth of statistical learning with networks, ranging from networks that are observed to networks that are unobserved and learned from data. It includes ten select papers with methodological and theoretical advances, and demonstrates the usefulness of the network paradigm by applications to current problems
Interest in network analysis has grown in recent years. Many social, economic and financial systems ...
This volume contains a selection of contributions from the "First International Conference in Networ...
This chapter introduces statistical methods used in the analysis of social networks and in the rapid...
The special issue on Statistical Analysis of Networks aspires to convey the breadth and depth of sta...
International audienceThis book is a general introduction to the statistical analysis of networks, a...
Covers the foundations common to the statistical analysis of network data across the disciplines. Th...
We begin with a graph (or a directed graph), a single set of nodes N, and a set of lines or arcs L. ...
Explore the multidisciplinary nature of complex networks through machine learning techniques Statis...
The scientific study of networks, including computer networks, social networks, and biological netwo...
Veronica Vinciotti and Ernst Wit thank the Isaac Newton Institute for Mathematical Sciences, Cambrid...
The challenges faced by official statistics in the 21st century are manifold. We are surrounded by s...
The analysis of network data is an area that is rapidly growing, both within and outside of the disc...
The number of network science applications across many different fields has been rapidly increasing....
The present work is a collection of articles [133, 134, 135] that, in broad terms, are dedicated to...
The analysis of network data is an area that is rapidly growing, both within and outside of the disc...
Interest in network analysis has grown in recent years. Many social, economic and financial systems ...
This volume contains a selection of contributions from the "First International Conference in Networ...
This chapter introduces statistical methods used in the analysis of social networks and in the rapid...
The special issue on Statistical Analysis of Networks aspires to convey the breadth and depth of sta...
International audienceThis book is a general introduction to the statistical analysis of networks, a...
Covers the foundations common to the statistical analysis of network data across the disciplines. Th...
We begin with a graph (or a directed graph), a single set of nodes N, and a set of lines or arcs L. ...
Explore the multidisciplinary nature of complex networks through machine learning techniques Statis...
The scientific study of networks, including computer networks, social networks, and biological netwo...
Veronica Vinciotti and Ernst Wit thank the Isaac Newton Institute for Mathematical Sciences, Cambrid...
The challenges faced by official statistics in the 21st century are manifold. We are surrounded by s...
The analysis of network data is an area that is rapidly growing, both within and outside of the disc...
The number of network science applications across many different fields has been rapidly increasing....
The present work is a collection of articles [133, 134, 135] that, in broad terms, are dedicated to...
The analysis of network data is an area that is rapidly growing, both within and outside of the disc...
Interest in network analysis has grown in recent years. Many social, economic and financial systems ...
This volume contains a selection of contributions from the "First International Conference in Networ...
This chapter introduces statistical methods used in the analysis of social networks and in the rapid...