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Social and Knowledge Structures in a Note-based Document Sharing System. Jonathan Huang Human Centered Computing Dec. 6, 1999. Overview. Motivation NotePals Centrality & Prestige Application to NotePals Survey Conclusion Future Work. Motivation.
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Social and Knowledge Structures in a Note-based Document Sharing System Jonathan Huang Human Centered Computing Dec. 6, 1999
Overview • Motivation • NotePals • Centrality & Prestige • Application to NotePals • Survey • Conclusion • Future Work
Motivation • Implicit organizational structures in the way we take, share, and retrieve notes • Centrality & Prestige • Collaborative filtering, clustering access, ranking
NotePals • Lightweight meeting support system • Digital Ink format • PDAs, Crosspads
Problems • Limited Search Methods • Restrictive Organization
Social & Knowledge Structure • Centrality • Prominent actors are those that are extensively involved in relationships with other actors. • Knoke and Burt (1983) - those actors with the most access or most control or most active. • Freeman (1977, 1979, 1980a) advocated the use of centrality measures to understand group structure
Social & Knowledge Structure • Prestige • a.k.a. status by Moreno (1934) and others • exist in directional relations • attempt to quantify the rank that a particular actor has within a set of actors.
Applications to NotePals • Centrality • Number of notes • Clustering based on access • lots of access/query -> author has central role in note structure • Collaborative filtering • rank the usefulness of document
Applications to NotePals • Prestige • References within notes • Hand writing recognition • Assign status to users (background, experience) • levels of background categorization • multiple groups of practice
Survey • 15 responses • 9 grads, 6 undergrads • Prestige • Professor (9.33), TA (6.8), Research Community (6.33), friend/classmate (6) • Centrality • Lecture/class (9.63), Seminar (7.83), Project (7), Web (3.5)
Conclusion & Future Work • Centrality and Prestige exist in note-taking practices • Allow searches by author prestige and quantity of notes • Automated clustering of notes by subject/author • Infer authorities based on note access to find related work