With the availability of internet, social media, etc., the interconnectedness of people within
most societies has increased tremendously over the past decades. Across the same …

The frustration index is a key measure for analysing signed networks, which has been
underused due to its computational complexity. We use an exact optimization-based method …

Graphs are ubiquitous for modeling complex systems involving structured data and
relationships. Consequently, graph representation learning, which aims to automatically …

In network science, identifying optimal partitions of a signed network into internally cohesive
and mutually divisive clusters based on generalized balance theory is computationally …

Research on network structural balance has been of great concern to scholars from diverse
fields. In this paper, a two-step approach is proposed for the first time to address the network …

Structural balance enables a comprehensive understanding of the potential tensions and
conflicts of signed networks, and its computation and transformation have attracted …

A class of networks are those with both positive and negative links. In this manuscript, we
studied the interplay between positive and negative ties on mesoscopic level of these …

Computing the frustration index of a signed graph is a key step toward solving problems in
many fields including social networks, political science, physics, chemistry, and biology. The …

Complex networks considering both positive and negative links have gained considerable
attention during the past several years. Community detection is one of the main challenges …

We propose a generalized stochastic block model to explore the mesoscopic structures in
signed networks by grouping vertices that exhibit similar positive and negative connection …