Spectral clustering is one of the most important data processing methods which has been
wildly applied to machine learning, computer vision, pattern recognition and image …

Information dissemination in a social network is constrained by the underlying structure of
the network and interaction between the users, and different dissemination patterns are …

The immunization strategy against the epidemic spreading in real world has attracted
widespread attention of scientists from many different fields. However, the traditional …

We propose a model of concurrent three-state spreading dynamics on multiplex networks to
study the co-evolution process of epidemic spreading and information diffusion. The …

Synthetic networks can be generated to mimic the dynamics and evolution of complex
interconnected systems in real world. Many network models have been established based …

Due to its broad real-life application, overlapping community detection (in the realm of a
social network) has attracted considerable interests from many researchers. However …

Detecting an accurate community structure is a crucial task in network analysis. With the
increasing popularity of social networking sites, it is essential to have a community detection …

Along with the fast development of network applications, network research has attracted
more and more attention, where one of the most important research directions is networked …

The unsigned graphs containing positive links only, have been analyzed fruitfully. However,
the physical relations behind complex networks are dissimilar. We often encounter the …

Detection of relevant and meaningful communities from any social network is always a
constant research challenge. Considering large social networks existing approaches often …