Network-based modeling of complex systems and data using the language of graphs has
become an essential topic across a range of different disciplines. Arguably, this graph-based …

Recent years have witnessed a significant trend towards filling the gap between Social
Network Analysis (SNA) and control theory. This trend was enabled by the introduction of …

Using graphs to model pairwise relationships between entities is a ubiquitous framework for
studying complex systems and data. Simplicial complexes extend this dyadic model of …

Most of the distributed protocols for multi-agent consensus assume that the agents are
mutually cooperative and “trustful,” and so the couplings among the agents bring the values …

Many real-world relations can be represented by signed networks with positive and negative
links, as a result of which signed network analysis has attracted increasing attention from …

A character network is a graph extracted from a narrative in which vertices represent
characters and edges correspond to interactions between them. A number of narrative …

Human populations are both highly cooperative and highly organized. Human interactions
are not random but rather are structured in social networks. Importantly, ties in these …

This paper studies the evolution of self-appraisal, social power, and interpersonal influences
for a group of individuals who discuss and form opinions about a sequence of issues. Our …

The availability of empirical data that capture the structure and behaviour of complex
networked systems has been greatly increased in recent years; however, a versatile …

Emotions are a crucial part of compelling narratives: literature tells us about people with
goals, desires, passions, and intentions. Emotion analysis is part of the broader and larger …