Legal practitioners analyze relevant previous judgments to prepare favorable and
advantageous arguments for an ongoing case. In Legal domain, recommender systems …

A key topic in network science is the detection of intermediate or meso-scale structures.
Community, core-periphery, disassortative and other partitions allow us to understand the …

While multilinear algebra appears natural for studying the multiway interactions modeled by
hypergraphs, tensor methods for general hypergraphs have been stymied by theoretical and …

Ecological networks are commonly applied to depict general patterns of biotic interactions,
which provide tools to understand the mechanism of community assembly. Commensal …

Recently, the development of the Internet of Things (IoT) enables more comprehensive and
intelligent analysis and defense for cascading failures in power grids. This article …

Based on the complex network, the relationship in the real complex system can be modeled,
and the bipartite network is a special complex network, which can describe the complex …

This paper examines the link between conversational communities on Twitter and their
members' expressions of social identity. It specifically tests the presence of community …

In this paper, we discuss the application of community detection methods to book-borrowers
networks in libraries. The aim is to obtain a segment of books and borrowers that are closely …

Community detection, as well as the identification of other structures like core periphery and
disassortative patterns, is an important topic in network analysis. While most methods seek …

A generalisation of modularity, called block modularity, is defined. This is a quality function
which evaluates a label assignment against an arbitrary block pattern. Therefore, unlike …