Community detection is a fundamental problem in social network analysis consisting,
roughly speaking, in unsupervised dividing social actors (modeled as nodes in a social …

Non-ferrous metals are indispensable industrial materials and strategic supports of national
economic development. The price forecasting of non-ferrous metals is critical for investors …

Uncovering the underlying community structure of a social network is an important task in
social network analysis. To solve this problem, many community detection algorithms for the …

One of the greatest advancements of the modern era is the evolution of smart grid (SG),
which integrates information communication technologies with advanced power electronic …

With the explosion of social media networks, many modern applications are concerning
about people's connections, which leads to the so-called social computing. An elusive …

Vulnerability assessment—a critical issue for networks—attempts to foresee unexpected
destructive events or hostile attacks in the whole system. In this article, we consider a new …

In recent years, a new Internet-based unsecured credit model, peer-to-peer (P2P) lending, is
flourishing and has become a successful complement to the traditional credit business …

Link prediction is an important task in complex network analysis and can be found in many
real-world applications such as recommendation systems, information retrieval, and …

Community detection in networks is commonly performed using information about
interactions between nodes. Recent advances have been made to incorporate multiple …

The rational choice theory is based on this idea that people rationally pursue goals for
increasing their personal interests. Here, we present a new concept of rational choice as a …