An adjacency list is a fundamental data structure used to represent graphs, where each vertex maintains a list of its adjacent vertices.
An adjacency matrix is a matrix used to represent the connections between vertices in a graph, indicating whether pairs of vertices are adjacent.
An in-depth look at augmenting paths, their role in flow networks, and their importance in algorithms like the Ford-Fulkerson method.
Combinatorial problems involve finding the best combination of elements from a finite set, playing a crucial role in mathematics, computer science, and various real-world applications.
Explore the multifaceted concept of 'Connection,' its applications in different fields, and how it varies across disciplines like mathematics, computer science, real estate, and social sciences.
A Dependency Graph represents task dependencies in project management, illustrating how different tasks or activities rely on each other for completion.
An extensive guide on Flow Network, a type of directed graph with capacities on edges, including its historical context, types, key events, formulas, importance, examples, related terms, and more.
Graph Isomorphism is a concept in graph theory where two graphs can be transformed into each other by renaming vertices, indicating structural similarity.
Graph Theory is a branch of mathematics that focuses on the study of graphs and networks, providing essential tools for social network analysis (SNA) and numerous applications across various fields.
Network theory studies the structure and behavior of complex networks, exploring how nodes (individuals or organizations) interact and form connections.
A Residual Graph is a graphical representation showing the remaining capacities of a network after flow has been assigned, crucial in optimizing flow algorithms such as the Ford-Fulkerson method.
A comprehensive exploration of Social Network Analysis, a methodology for studying the social relationships within a group.
