How to enhance the network capacity is one of the most important issues. To achieve this,
the existing works have focused on improving either the network structure or routing …

In the authors derived an outer bound, called functional dependence bound, for network
information flow with independent sources. In this work, we derive outer bounds for network …

A network's transmission capacity is the maximal rate of traffic inflow that the network can
handle without causing congestion. Here we study how to enhance this quantity by …

Characterising the capacity region for a network can be extremely difficult. Even with
independent sources, determining the capacity region can be as hard as the open problem …

In this paper we study the performance of communication networks from a network science
perspective. Our analysis and simulation results reveal the effects of network structure …

Abstract Information cascades are important dynamical processes in complex networks. An
information cascade can describe the spreading dynamics of rumour, disease, memes, or …

It has been widely demonstrated that the structure of a network is a major factor that affects
its traffic dynamics. In this work, we try to identify the optimal topologies for maximizing the …

Social networks have become ubiquitous in our daily life, as such they have attracted great
research interests recently. A key challenge is that it is of extremely large-scale with …

Large-degree nodes may have a larger influence on the network, but they can be
bottlenecks for spreading information since spreading attempts tend to concentrate on these …

The ongoing rapid expansion of the Word Wide Web (WWW) greatly increases the
information of effective transmission from heterogeneous individuals to various systems …