37 Graphs in Data Structures and Algorithms | Understanding Graph Theory | JavaScript Tutorial

Welcome to our data structures and algorithms tutorial series! In this video, we'll dive into the fascinating world of graphs—a fundamental data structure used to model a wide range of real-world problems, such as social networks, web pages, transportation networks, and more.

🌐 What are Graphs? Learn about nodes, edges, and their applications in problem-solving.
🔄 Directed vs. Undirected Graphs: Understand the difference between edges with and without direction.
⚖️ Weighted vs. Unweighted Graphs: Discover how numerical values can be associated with graph connections.
📊 Example Graph: Explore a directed and weighted graph with practical illustrations.

In the second part of the video, we'll introduce you to essential graph-related terminologies:

📏 Degree: Measure the number of edges connected to a node.
🛤️ Path: Learn what a path is and how it connects nodes within a graph.
🔄 Cycle: Discover cycles—paths that start and end at the same node.
🔗 Connected Graphs: Understand the concept of connectedness between nodes.
🌳 Trees: Uncover tree structures—a special kind of graph with no cycles and unique properties.

Next, we'll focus on two common graph traversal algorithms:

🔍 Depth-First Search (DFS): Dive into the recursive algorithm that explores graph nodes deeply before backtracking.
🔎 Breadth-First Search (BFS): Learn about an algorithm that explores graph nodes based on their distance from the source node.

For each algorithm, we'll provide easy-to-understand pseudocode and guide you through the JavaScript implementation using a stack for DFS and a queue for BFS.

Whether you're a budding programmer, web developer, or someone passionate about algorithms, this video will equip you with the knowledge to comprehend and apply graphs in problem-solving scenarios.

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