How can graph theory be applied to network analysis?
Graph theory provides a framework for modeling and analyzing networks, such as social networks or computer networks.
What are some common algorithms used in graph theory for network analysis?
Common algorithms include Dijkstra's algorithm for shortest paths, PageRank for ranking nodes, and clustering algorithms.
Can you explain how Dijkstra's algorithm works?
Dijkstra's algorithm finds the shortest path from a starting node to all other nodes in a weighted graph by iteratively selecting the nearest unvisited node.
What are the limitations of using graph theory in network analysis?
Limitations include computational complexity for large networks and challenges in accurately modeling real-world scenarios.
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