Web Structure Mining
Definition: Web Structure Mining is a subfield of data mining that focuses on analyzing the link structure of the web to discover relationships between web pages. It uses the hyperlink structure of websites to infer patterns, insights, and the hierarchical organization of web pages.
Key Components:
Hyperlinks: Connections between pages on the same website or across different websites.
Graph Structure: The web can be visualized as a graph, with pages as nodes and hyperlinks as edges.
Discovering Link Patterns: Understanding how pages are interconnected.
Ranking Pages: Identifying the importance of pages (e.g., PageRank).
Community Detection: Identifying clusters or communities of similar web pages.
Web Navigation Optimization: Improving website structure for better user experience.
Graph Theory: Modeling and analyzing the web as a directed or undirected graph.
Link Analysis Algorithms: Algorithms like PageRank and HITS to rank pages based on their importance.
Clustering: Grouping similar pages based on link patterns.
Network Analysis: Measuring connectivity and finding key nodes/pages.
Applications: