Networks have become increasingly important to model complex systems composed of
interacting elements. Network data mining has a large number of applications in many …

Many real-world relations can be represented by signed networks with positive and negative
links, as a result of which signed network analysis has attracted increasing attention from …

Conversational recommender systems (CRSs) have been proposed recently to mitigate the
cold-start problem suffered by the traditional recommender systems. By introducing …

Social networks are inevitable part of modern life. A class of social networks is those with
both positive (friendship or trust) and negative (enmity or distrust) links. Ranking nodes in …

Link prediction plays an important role in scientific collaboration networks, and can
favourably affect the organization of international scientific projects. In this paper, a meta …

The increasing interest in complex networks research has been motivated by intrinsic
features of this area, such as the generality of the approach to represent and model virtually …

In some online social network services (SNSs), the members are allowed to label their
relationships with others, and such relationships can be represented as the links with signed …

Trust and distrust networks are usually extremely sparse and the vast majority of the existing
algorithms for trust/distrust prediction suffer from the data sparsity problem. In this paper …

Trust and distrust between online users play an important role in social network applications,
especially in the security domain. For example, trust information can enhance social …

The growth of social networks has lately attracted both academic and industrial researchers
to study the ties between people, and how the social networks evolve with time. Social …