In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

Real networks exhibit heterogeneous nature with nodes playing far different roles in
structure and function. To identify vital nodes is thus very significant, allowing us to control …

Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to
methods for unraveling the extraordinary complexity of neuronal connectivity. From the …

Social networks are absolutely a useful and important place for connecting people within the
world. A basic issue in a social network is to identify the key persons within it. This is why …

Identifying influential spreaders is an important issue in understanding the dynamics of
information diffusion in complex networks. The k-shell index, which is the topological …

To find the important nodes in complex networks is a fundamental issue. A number of
methods have been recently proposed to address this problem but most previous studies …

Ranking the nodesʼ ability of spreading in networks is crucial for designing efficient
strategies to hinder spreading in the case of diseases or accelerate spreading in the case of …

Intermediate-scale (or “meso-scale'') structures in networks have received considerable
attention, as the algorithmic detection of such structures makes it possible to discover …

Complex networks have emerged as a simple yet powerful framework to represent and
analyze a wide range of complex systems. The problem of ranking the nodes and the edges …

As a person learns a new skill, distinct synapses, brain regions, and circuits are engaged
and change over time. In this paper, we develop methods to examine patterns of correlated …