We analyze the super-resolution reconstruction constraints. In particular we derive a
sequence of results which all show that the constraints provide far less useful information as …

This study suggests taking a social networks theoretical approach to predict and explain
patterns of information exchange among Twitter prostate and breast cancer communities …

Recent work on modeling the Web graph has dwelt on capturing the degree distributions
observed on the Web. Pointing out that this represents a heavy reliance on “local” properties …

Many graphs arising in various information networks exhibit the" power law" behavior–the
number of vertices of degree k is proportional to k-β for some positive β. We show that if β> …

Graph models for real-world complex networks such as the Internet, the WWW and
biological networks are necessary for analytic and simulation-based studies of network …

There has been considerable recent interest in probabilistic packet marking schemes for the
problem of tracing a sequence of network packets back to an anonymous source. An …

We show that the largest eigenvalues of graphs whose highest degrees are Zipf-like
distributed with slope a are distributed according to a power law with slope α/2. This follows …

" A Course on the Web Graph provides a comprehensive introduction to state-of-the-art
research on the applications of graph theory to real-world networks such as the web graph. It …

Making sense of large graph datasets is a fundamental and challenging process that
advances science, education and technology. We survey research on graph exploration and …

This book aims to answer two questions that are fundamental to the study of agent-based
economic models: what is agent-based computational economics and why do we need …