Network Science and Graph Analytics

  The term "road network" refers to the interconnected system of roads, highways, streets, and other transportation routes that facilitate the movement of vehicles and people within a region, city, or country. Road networks are an essential part of modern transportation infrastructure and play a crucial role in supporting economic and social activities. A road network typically consists of various components, including: Highways and Freeways: These are major roads designed for high-speed and long-distance travel, often connecting major cities or regions. They usually have multiple lanes and limited access points. Arterial Roads: Also known as main roads or through roads, these connect different parts of a city or region, allowing traffic to flow between local roads and highways. Local Roads: These are smaller roads that provide access to neighborhoods, residential areas, and businesses. They generally have lower speed limits and are not designed for long-distance travel. Coll...

  Transportation networks Transportation networks refer to the interconnected system of infrastructure, facilities, and services that enable the movement of people, goods, and information from one location to another. These networks are essential for the functioning of modern societies, economies, and businesses. Roads and Highways: Road networks are the most common form of transportation infrastructure, facilitating the movement of vehicles (cars, trucks, buses) over land. Highways are major roads that connect cities and regions, while local roads serve communities. Railways: Rail networks consist of tracks and trains, offering an efficient means of transporting both passengers and freight over long distances. Air Transportation: Airports, airlines, and air traffic control systems together form the aviation network, allowing for rapid long-distance travel and cargo transportation. Maritime Transportation: Ports, shipping lanes, and vessels make up the maritime transportation netwo...

Network Science and Graph Analytics are rapidly growing fields that study the structure, behavior, and dynamics of complex networks, including social networks, biological networks, transportation networks, and more. International research awards in Network Science and Graph Analytics aim to recognize and honor outstanding contributions to these fields, and to promote innovation and excellence in research. Scale-Free Networks: Networks in which a few nodes (hubs) have a disproportionately large number of connections, while the majority of nodes have only a few connections. This distribution of connections follows a power-law, making these networks highly resilient to random failures but susceptible to targeted attacks on hubs. Random Graph Models: Mathematical models used to generate random networks with specific characteristics, helping researchers understand the properties of real-world networks by comparison. Community Detection: The process of identifying clusters or communities of...

  Network science, also known as network theory or graph theory, is an interdisciplinary field that studies the structure, behavior, and dynamics of complex networks. A network is a collection of nodes (also called vertices) connected by edges (also called links or ties). These nodes can represent various entities, such as individuals, computers, cities, proteins, or any other discrete objects, while the edges represent the relationships or interactions between these entities. The study of networks has applications in a wide range of fields, including computer science, sociology, biology, physics, economics, transportation, and many others. Some common types of networks include social networks (e.g., Facebook, Twitter), communication networks (e.g., the internet), biological networks (e.g., neural networks, gene regulatory networks), and transportation networks (e.g., road networks, airline networks). Network Measures: Metrics that describe various properties of a network, such as ...

Graph theory is a branch of mathematics that deals with the study of graphs. A graph is a mathematical representation of a set of objects, called vertices or nodes, connected by links, called edges. Graphs are a fundamental tool for modeling and solving problems in various fields, including computer science, operations research, social sciences, biology, and many others.   In a graph, vertices represent entities, and edges represent relationships between these entities. Graph theory focuses on understanding the properties and relationships between these entities and how they are connected. Here are some key concepts in graph theory: Vertex (Node): A fundamental element of a graph, representing an entity or an object. Edge (Link): A connection between two vertices, representing a relationship between the corresponding entities. Degree of a Vertex: The number of edges incident to a vertex. In a directed graph, there is an in-degree and an out-degree for each vertex. Directed Graph (D...

  Ocean Revolution Mozambique (ORM), a recipient of the UNDP’s Equator Prize for 2022, promotes marine conservation in the East African nation by supporting Mozambican researchers in their quest for knowledge.You cannot talk about ecosystem conservation without talking about people,” says Vilma Machava-António, a researcher who benefited from an ORM scholarship. The marine ecologist spoke to Mongabay about what attracted her to mangroves, the role these unique coastal systems play in climate adaptation, and what explains the success of some community-led efforts to preserve them.Mangroves stash carbon efficiently and are critical to adapting to climate impacts, especially in Mozambique, which is hit by cyclones with distressing frequency.Ocean Revolution Mozambique (ORM) was one of the winners of the United Nations Development Programme’s (UNDP) Equator Prize for 2022, awarded to recognize community-led efforts in conservation and sustainability that lead to poverty alleviation.The...