Understanding the network organization of the brain has been a long-standing challenge for neuroscience. In the past decade, developments in graph theory have provided many new methods for ...

Graph algorithms and network analysis form the backbone of modern computational techniques used to decode the complex structures and dynamic behaviours exhibited by diverse real-world networks. From ...

The brain’s function and integrity emerge not only from properties of individual regions, but, more fundamentally, from the intricate web of connections ...

PART ONE: BACKGROUND UNDERSTANDING -- Becoming Familiar with Social Networks -- A Brief History of Social Network Analysis -- How to Study Social Networks, from Theory to Design -- PART TWO: LEVELS OF ...

Back in the hazy olden days of the pre-2000s, navigating between two locations generally required someone to whip out a paper map and painstakingly figure out the most optimal route between those ...

The visibility graph (VG) is a technique that acts as a bridge between dynamic systems and graph theory, and has been applied in recent years to analyze different systems in an innovative way. In this ...

On the 19th of February 2025, M.Sc. Andreas Grigorjew defends his PhD thesis on Algorithms and Graph Structures for Splitting Network Flows, in Theory and Practice. The thesis is related to research ...

This idea holds significant weight when discussing the production of specific results with generative AI, and harvesting the latest trends. Given that many AI systems are general-purpose, it prompts ...