{"id":26742276,"url":"https://github.com/ayvero/java_graph_dfs_bfs","last_synced_at":"2025-03-28T06:17:18.504Z","repository":{"id":284635411,"uuid":"955580490","full_name":"Ayvero/java_graph_DFS_BFS","owner":"Ayvero","description":"Implementation of Graph Traversal Algorithms_DFS_BFS","archived":false,"fork":false,"pushed_at":"2025-03-26T21:38:17.000Z","size":0,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-26T22:29:50.045Z","etag":null,"topics":["bfs-algorithm","dfs-algorithm","graph-algorithms","java"],"latest_commit_sha":null,"homepage":"","language":"Java","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Ayvero.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-03-26T21:36:19.000Z","updated_at":"2025-03-26T21:39:21.000Z","dependencies_parsed_at":"2025-03-26T22:40:34.889Z","dependency_job_id":null,"html_url":"https://github.com/Ayvero/java_graph_DFS_BFS","commit_stats":null,"previous_names":["ayvero/java_graph_dfs_bfs"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ayvero%2Fjava_graph_DFS_BFS","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ayvero%2Fjava_graph_DFS_BFS/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ayvero%2Fjava_graph_DFS_BFS/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ayvero%2Fjava_graph_DFS_BFS/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Ayvero","download_url":"https://codeload.github.com/Ayvero/java_graph_DFS_BFS/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245978282,"owners_count":20703678,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bfs-algorithm","dfs-algorithm","graph-algorithms","java"],"created_at":"2025-03-28T06:17:17.761Z","updated_at":"2025-03-28T06:17:18.495Z","avatar_url":"https://github.com/Ayvero.png","language":"Java","readme":"# Implementación de Algoritmos de Recorrido en Grafos\n\n## Descripción del Problema\nEste ejercicio consiste en implementar los algoritmos de recorrido en grafos Depth-First Search (DFS) y Breadth-First Search (BFS). Estos algoritmos exploran todos los nodos de un grafo siguiendo diferentes estrategias: DFS explora lo más profundo posible antes de retroceder, mientras que BFS explora primero los vecinos más cercanos.\n\n## Enfoque\n- **Búsqueda en Profundidad (DFS)**: Implementada usando una pila (explícitamente o de manera recursiva) para explorar caminos profundos antes de retroceder.\n- **Búsqueda en Anchura (BFS)**: Implementada utilizando una cola para explorar los nodos de manera sistemática nivel por nivel.\n- **Representación del Grafo**: Uso de listas de adyacencia o matrices de adyacencia para almacenar la estructura del grafo.\n\n## Aplicaciones\nEstos algoritmos son fundamentales para la exploración y análisis de grafos, con aplicaciones en:\n- **Problemas de conectividad**: Verificar si todos los nodos son alcanzables.\n- **Búsqueda de caminos**: Encontrar rutas más cortas o eficientes.\n- **Optimización de redes**: Análisis de redes sociales, rastreo web y sistemas de enrutamiento.\n\n-------------------------------\n\n# Implementation of Graph Traversal Algorithms\n\n## Problem Description\nThis exercise involves implementing graph traversal algorithms: Depth-First Search (DFS) and Breadth-First Search (BFS). These algorithms explore all nodes in a graph using different strategies: DFS explores as deep as possible before backtracking, while BFS explores the closest neighbors first.\n\n## Approach\n- **Depth-First Search (DFS)**: Implemented using a stack (explicitly or recursively) to explore deeper paths before backtracking.\n- **Breadth-First Search (BFS)**: Implemented using a queue to systematically explore nodes level by level.\n- **Graph Representation**: Using adjacency lists or adjacency matrices to store the graph structure.\n\n## Applications\nThese algorithms are essential for graph exploration and analysis, with applications in:\n- **Connectivity problems**: Checking if all nodes are reachable.\n- **Pathfinding**: Finding the shortest or most efficient routes.\n- **Network optimization**: Analyzing social networks, web crawlers, and routing systems.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fayvero%2Fjava_graph_dfs_bfs","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fayvero%2Fjava_graph_dfs_bfs","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fayvero%2Fjava_graph_dfs_bfs/lists"}