Search engines, link analysis, and user's Web behavior

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This book presents a unified framework focusing on three major components: Search Engine Performance, Link Analysis, and User Web Behavior. The rapid expansion and accessibility of the World Wide Web have spurred significant research in information retrieval. The three aspects of web mining—Link Analysis, Search Engines, and User Behavior—are explored in a cohesive manner. The book is divided into three sections. Section I (chapters 2–4) delves into Link Analysis through the hubs and authorities framework, which ranks hyperlink structures to assess the relative authority of web pages and enhance search result algorithms. It examines the HITS Algorithm by Kleinberg, proposing a study of HITS in a new 2-D space defined by In-degree and Out-degree variables. The categorization of web pages into specific topologies allows for an analysis of how these topologies affect HITS performance in this new dimensionality. Additionally, the PageRank Algorithm is discussed within the same 2-D context, highlighting the challenges HITS faces across various web graph topologies. The exploration of these algorithms aims to improve understanding and effectiveness in web mining practices.