Link analysis for collaborative knowledge building

Abstract

We present an ongoing research project utilizing navigation and hyperlink data to aid collaborative knowledge building. We allow collaborators to personally organize documents and other research resources and make references to them. We combine their personal organizations and references to develop a unified, hierarchical categorization of these resources. We analyze collaborators' navigations to identify prominent research activities as well as the key documents related to these activities. We examine prominence over time to identify research trends.

Harvesting social knowledge from folksonomies

“…Different clustering techniques use different pair-wise similarity measures such as cosine and Euclidean similarities, and different group-wise similarity methods such as average linkage and centroid. Wu et al (2003Wu et al ( , 2004 have shown that Jaccard similarity measure and the average linkage method perform better than other alternatives in producing hierarchies from categorical data. Through evaluation we have confirmed that the combination of Jaccard similarity measure and average linkage method performs better, i.e.…”

Fuzzy logic based product filtering for web personalization in E-commerce

“…In Wu et al [9] defined personalization as a system development approach for designing information systems that change configurations based on each user's needs and preferences. Kramer et al [10] described web personalization as a toolbox of technologies and application features used in the design of an end-user experience.…”

Distributed, real-time computation of community preferences

“…User directed linking behavior has also been widely studied in a variety of contexts, such as [30][24] [31]. However, none of these systems have been implemented with smart-objects similar to buckets.…”