Project Highlight

Web agents are complex software systems that operate in the world wide web, the Internet, and related corporate, government, or military intranets. They are designed to perform a variety of tasks from caching and routing to searching, categorizing, and filtering.

Our goal is to develop a theoretically well-founded framework for the design and analysis of Web agents and agent systems based on mathematical models of their environment. Our approach has three major building blocks:




Learning from Link Topology

Kleinberg's popular paper (first in the list) has started a whole new research area. It presents the Hubs and Authorities algorithm (HITS) which performs a SVD of the Web adjacency graph to identify authoritative Web pages and Web communities. More follow-up papers on using the HITS algorithm for searching and connectivity analysis on the Web.

Small World Networks

Theory of small world networks to model various dynamical processes and systems: from social systems to electricity networks and the Web. The crucial question is to understand how the dynamics and global system behavior depends on the (local) network topology.

Web Searching and Crawling

Web Caching

Web Measurements and Sampling

Web Surfing and User Modeling

Web Mining and Clustering

Web Economies

Web Robots


General Interest Articles



Organizations, Researchers and Research Groups

Conferences & Workshops

Journals & Books