Disadvantages of Graph
- Limited representation: Graphs can only represent relationships between objects, and not their properties or attributes. This means that in order to fully understand the data, it may be necessary to supplement the graph with additional information.
- Difficulty in interpretation: Graphs can be difficult to interpret, especially if they are large or complex. This can make it challenging to extract meaningful insights from the data, and may require advanced analytical techniques or domain expertise.
- Scalability issues: As the number of nodes and edges in a graph increases, the processing time and memory required to analyze it also increases. This can make it difficult to work with large or complex graphs.
- Data quality issues: Graphs are only as good as the data they are based on, and if the data is incomplete, inconsistent, or inaccurate, the graph may not accurately reflect the relationships between objects.
- Lack of standardization: There are many different types of graphs, and each has its own strengths and weaknesses. This can make it difficult to compare graphs from different sources, or to choose the best type of graph for a given analysis.
- Privacy concerns: Graphs can reveal sensitive information about individuals or organizations, which can raise privacy concerns, especially in social network analysis or marketing.
Graph Data Structure Notes for GATE Exam [2024]
Graphs, a fundamental concept in computer science and mathematics, serve as powerful tools for modeling and solving a myriad of real-world problems. As aspirants gear up for the GATE Exam 2024, a comprehensive understanding of graph data structures becomes paramount. These notes aim to provide a concise and illuminating guide to graph data structures, unraveling the principles, representations, and algorithms associated with them, all of which are essential for mastering this topic in the GATE examination.
Table of Content
- What is Graph?
- Components of a Graph
- Breadth First Search or BFS in Graph
- Depth First Search or DFS in Graph
- Types of Graphs
- Representations of Graph
- Basic Properties of a Graph
- Applications of Graph Data Structure
- Advantages of Graph:
- Disadvantages of Graph
- Gate Previous Year Problems on Graph Data Structure
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