Searching for experts in the enterprise: combining text and social network analysis

Employees depend on other people in the enterprise for rapid access to important information. But current systems for finding experts do not adequately address the social implications of finding and engaging strangers in conversation. This paper provides a user study of SmallBlue, a social-context-aware expertise search system that can be used to identify experts, see dynamic profile information and get information about the social distance to the expert, before deciding whether and how to initiate contact. The system uses an innovative approach to privacy to infer content and dynamic social networks from email and chat logs. We describe usage of SmallBlue and discuss implications for the next generation of enterprise-wide systems for finding people.

[1]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[2]  Paul Thompson,et al.  An Inductive Search System: Theory, Design, and Implementation , 1986, IEEE Transactions on Systems, Man, and Cybernetics.

[3]  Volker Wulf,et al.  Sharing Expertise: Beyond Knowledge Management , 2002 .

[4]  David W. McDonald,et al.  Social matching: A framework and research agenda , 2005, TCHI.

[5]  Ching-Yung Lin,et al.  ExpertiseNet: Relational and Evolutionary Expert Modeling , 2005, User Modeling.

[6]  David R. Millen,et al.  Dogear: Social bookmarking in the enterprise , 2006, CHI.

[7]  Bonnie A. Nardi,et al.  It's Not What You Know, It's Who You Know: Work in the Information Age , 2000, First Monday.

[8]  Kate Ehrlich.  Locating Expertise: Design Issues for an expertise locator system , 2002 .

[9]  Bernardo A. Huberman,et al.  Email as spectroscopy: automated discovery of community structure within organizations , 2003 .

[10]  Loren G. Terveen,et al.  ContactMap: Organizing communication in a social desktop , 2004, TCHI.

[11]  Audris Mockus,et al.  Expertise Browser: a quantitative approach to identifying expertise , 2002, Proceedings of the 24th International Conference on Software Engineering. ICSE 2002.

[12]  Andrew Parker,et al.  The Hidden Power of Social Networks: Understanding How Work Really Gets Done in Organizations , 2004 .

[13]  E. Wenger,et al.  Communities and technologies , 2003 .

[14]  Bart Selman,et al.  Referral Web: combining social networks and collaborative filtering , 1997, CACM.

[15]  T. Allen.  Managing the flow of technology , 1977 .

[16]  Morten T. Hansen,et al.  The Search-Transfer Problem: The Role of Weak Ties in Sharing Knowledge across Organization Subunits , 1999 .

[17]  Mark S. Ackerman,et al.  Answer Garden 2: merging organizational memory with collaborative help , 1996, CSCW '96.

[18]  Mark S. Ackerman,et al.  Expertise recommender: a flexible recommendation system and architecture , 2000, CSCW '00.

[19]  Paul P. Maglio,et al.  Expertise identification using email communications , 2003, CIKM '03.

[20]  T. Lau,et al.  Fringe Contacts: People-Tagging for the Enterprise , 2006 .

[21]  Wendy A. Kellogg,et al.  Social translucence: an approach to designing systems that support social processes , 2000, TCHI.

[22]  Kate Ehrlich,et al.  The Invisible World of Intermediaries: A Cautionary Tale , 1999, Computer Supported Cooperative Work (CSCW).

[23]  Mark S. Ackerman,et al.  Privacy in e-commerce: examining user scenarios and privacy preferences , 1999, EC '99.

[24]  Ching-Yung Lin,et al.  Modeling and predicting personal information dissemination behavior , 2005, KDD '05.

[25]  Rob Cross,et al.  A Relational View of Information Seeking and Learning in Social Networks , 2003, Manag. Sci..

[26]  John Seely Brown,et al.  Book Reviews : The Social Life of Information By John Seely Brown and Paul Duguid. Boston: Harvard Business School Press, 2000. 320 pages , 2000 .

[27]  Volker Wulf,et al.  Matching human actors based on their texts: design and evaluation of an instance of the ExpertFinding framework , 2005, GROUP.

[28]  John M. Silvester,et al.  The Social Life of Information: Brown, J.S., & Duguid, P. (2000). Cambridge, MA: Harvard Business School Publishing. ISBN 0-87584-762-5. 320 pages , 2000, Internet High. Educ..

[29]  Kate Ehrlich,et al.  SmallBlue: People Mining for Expertise Search , 2008, IEEE MultiMedia.

[30]  Sharon L. Milgram,et al.  The Small World Problem , 1967 .