Recently, the detection of high-quality community has become a hot spot in the research of
social network. Label propagation algorithm (LPA) has been widely concerned since it has …

Label propagation algorithm (LPA) is an extremely fast community detection method and is
widely used in large scale networks. In spite of the advantages of LPA, the issue of its poor …

Optimal microgrid design is pivotal in planning active distribution networks (ADNs) with
intermittent renewable energy sources (RESs) and battery energy storage systems (BESSs) …

With the development of Internet, social networks have become important platforms which
allow users to follow streams of posts generated by their friends and acquaintances …

Spectral clustering is a useful tool for clustering data. It separates data points into different
clusters using eigenvectors corresponding to eigenvalues of the similarity matrix from a data …

This study investigates the characteristics of information spillover in 32 major stock markets
worldwide and takes into account the Global Financial Crisis in 2008, using the information …

Consider a network consisting of two subnetworks (communities) connected by some
external edges. Given the network topology, the community detection problem can be cast …

Community structure is the key aspect of complex network analysis and it has important
practical significance. While in real networks, some nodes may belong to multiple …

Traffic classification is becoming one of the major applications in the data center networks
with a lot of cloud services. Recent works about software defined networking (SDN) have …

In the mobile Internet of Things (IoT), dynamic community discovery has attracted increasing
attention, because it can provide strong reliability and security for mobile IoT applications …