Multi-agent systems (MASs) have received tremendous attention from scholars in different
disciplines, including computer science and civil engineering, as a means to solve complex …

The abundance of interconnected data has fueled the design and implementation of graph
generators reproducing real-world linking properties or gauging the effectiveness of graph …

Distributed networks are networks in which each node can act as a server or client and
hence any node can provide service to any other node. In such a scenario, establishing a …

Consensus control of multiagent systems (MASs) has been one of the most extensive
research topics in the field of robotics and automation. The information sharing among the …

Social network analysis faces profound difficulties in sharing data between researchers due
to privacy and security concerns. A potential remedy to this issue are synthetic networks, that …

Norms are an important part of human social systems, governing many aspects of group
decision-making. Yet many popularly used social models neglect to model normative effects …

Two of the difficulties for data analysts of online social networks are (1) the public availability
of data and (2) respecting the privacy of the users. One possible solution to both of these …

The question of how to influence people in a large social system is a perennial problem in
marketing, politics, and publishing. It differs from more personal inter-agent interactions that …

Synthetic social network generators are useful for a variety of purposes, including
benchmarking algorithms, modeling human interactions within agent-based simulations …

This dissertation presents new methods for simulating social norms emergence in human
populations and applies the resulting normative model to a smoking cessation scenario …