Statistical network models are useful for understanding the underlying formation mechanism
and characteristics of complex networks. However, statistical models for signed networks …

In many real-world networks, relationships often go beyond simple dyadic presence or
absence; they can be positive, like friendship, alliance, and mutualism, or negative …

The unique structure of signed networks, characterized by positive and negative edges,
poses significant challenges for analyzing network topology. In recent years, various statistic …

The study of social networks is a burgeoning research area. However, most existing work is
on networks that simply encode whether relationships exist or not. In contrast, relationships …

The modeling of networks, specifically generative models, has been shown to provide a
plethora of information about the underlying network structures, as well as many other …

Signed networks with positive and negative links attract considerable interest in their
studying since they contain more information than unsigned networks. Community detection …

Substantive research in the Social Sciences regularly investigates signed networks, where
edges between actors are positive or negative. One often-studied example within …

Social ties, either positive or negative, lead to signed network patterns, the subject of
balance theory. For example, strong balance introduces cycles with even numbers of …

There has been an increasing interest in exploring signed networks with positive and
negative links in that they contain more information than unsigned networks. As fundamental …

Network analysis usually deals with relations among entities which are positive, such as
friendship, or advice seeking. Most analytic tools are constructed with this assumption, be …