Referral Web: combining social networks and collaborative filtering
Communications of the ACM
Visualizing a discipline: an author co-citation analysis of information science, 1972–1995
Journal of the American Society for Information Science
Augmenting organizational memory: a field study of answer garden
ACM Transactions on Information Systems (TOIS)
The information-seeking practices of engineers: searching for documents as well as for people
Information Processing and Management: an International Journal
Six roles of documents in professionals' work
Proceedings of the Sixth European conference on Computer supported cooperative work
The New Review of Information Behaviour Research
Expertise browser: a quantitative approach to identifying expertise
Proceedings of the 24th International Conference on Software Engineering
Political artifacts and personal privacy: the yenta multiagent distributed matchmaking system
Political artifacts and personal privacy: the yenta multiagent distributed matchmaking system
Social and temporal structures in everyday collaboration
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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People such as R&D engineers rely on communication with their colleagues to acquire information, get trusted opinion, and as impetus for creative discourse. This study investigates the prospects of using bibliometric citation techniques for mapping and visualizing data about the oral communication patterns of a group of R&D engineers. Representatives of the R&D engineers find the resulting maps – we term them personometric maps – rich in information about who knows what and potentially useful as tools for finding people with specific competences. Maps of old projects are seen as particularly useful because old projects are important entry points in searches for information and the maps retain information indicative of people's competences, information that is otherwise not readily available. Face-to-face communications and communications via phone, email, and other systems are more ephemeral than scholarly citations, and (semi-)automated means of data collection are critical to practical application of personometric analyses.