Recent studies uncovered important core/periphery network structures characterizing
complex sets of cooperative and competitive interactions between network nodes, be they …

Introduction: Effective regulation of abnormal targets of disease requires the alteration of
either the topological structure or dynamic characteristics of modules in a given target …

Based on statistical physics and graph theory, the research paradigm of a complex network,
which has sprung up in the last decade, provides us with new global perspective to discuss …

Studying social influence in networks is crucial to understand how behavior spreads. An
interesting number of theories were elaborated to analyze how innovations and trends get …

Understanding the network structure, and finding out the influential nodes is a challenging
issue in large networks. Identifying the most influential nodes in a network can be useful in …

Analytics over social graphs allows to extract valuable knowledge and insights for many
fields like community detection, fraud detection, and interest mining. In practice …

Extreme events are observed on electroencephalographic (EEG) recordings of rodents with
induced ischemic stroke. These events represent themselves as post-stroke epileptic …

Betweenness centrality is an important centrality measure widely used in social network
analysis, route planning etc. However, even for mid-size networks, it is practically intractable …

To maintain bone mass during bone remodelling, coupling is required between bone
resorption and bone formation. This coordination is achieved by a network of autocrine and …

This review highlights the advances in the knowledge of RNA interference (RNAi) and
discusses recent progress on the functionality of different components RNAi machinery …