Leveraging social networks for corporate staffing and expert recommendation

IBM Journal of Research and Development

Volumn 53, Issue 6, 2009, Pages

  Chenthamarakshan, Vijil ^a   Dey, Kuntal ^a   Hu, Jianying ^b   Mojsilovic, Aleksandra ^b   Riddle, Will ^c   Sindhwani, Vikas ^b  

^a IBM RESEARCH INDIA   (India)

^b IBM T J WATSON RESEARCH CENTER   (United States)

^c IBM   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PERSONNEL SELECTION;

DISTRIBUTED ORGANIZATIONS; EFFECTIVE MANAGEMENT; EXPERT RECOMMENDATIONS; SOCIAL INTERACTIONS; SOCIAL RELATIONSHIPS; SUBJECT MATTER EXPERTS;

PROBLEM SOLVING;

EID: 77955078674     PISSN: 00188646     EISSN: 00188646     Source Type: Journal    
DOI: 10.1147/JRD.2009.5429039     Document Type: Article

References (20)

1. R. A. Hanneman and M. Riddle, Introduction to Social Network Methods, University of California, Riverside, CA, 2005.
2. M. S. Ackerman, V. Wulf, and V. Pipek, Eds., Sharing Expertise: Beyond Knowledge Management, MIT Press, 2002.
3. H. Kautz, B. Selman, and M. Shah, "ReferralWeb: Combining Social Networks and Collaborative Filtering," Commun. ACM 40, No.3, 63-65 (1997).
4. B. Dom, I. Eiron, A. Cozzi, and Y. Zhang, "Graph-Based Ranking Algorithms for Email Expertise Analysis," Proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, San Diego, CA, June 13, 2003, pp. 42-48.
5. J. Zhang, M. S. Ackerman, and L. Adamic, "Expertise Networks in Online Communities: Structure and Algorithms," International World Wide Web Conference, 2007, Banff, Alberta, Canada, May 8-12, 2007, pp. 221-230. (Pubitemid 47582252)
6. G. E. Littlepage and A. L. Mueller, "Recognition and Utilization of Expertise in Problem-Solving Groups: Expert Characteristics and Behavior," Group Dynamics: Theory, Research, and Practice 1, No.4, 324-328 (1997).
7. R. Yang, "Solving a Workforce Management Problem with Constraint Programming," Proceedings of the 2nd International Conference on the Practical Application of Constraint Technology, London, UK, 1996, pp. 373-387.
8. G. Eitzen, D. Panton, and G. Mills, "Multi-Skilled Workforce Optimisation," Ann. Oper. Res. 127, No. 1/4, 359-372 (2004).
9. F. F. Easton and N. Mansour, "A Distributed Genetic Algorithm for Employee Staffing and Scheduling Problems," Proceedings of the 5th International Conference on Genetic Algorithms, University of Illinois at Urbana-Champaign, Illinois, 1993, pp. 360-367.
10. Y. Naveh, Y. Richter, Y. Altshuler, D. L. Gresh, and D. P. Connors, "Workforce Optimization: Identification and Assignment of Professional Workers Using Constraint Programming," IBM J. Res. & Dev. 51, No.3, 263-279 (2007).
11. A. Clauset, M. E. J. Newman, and C. Moore, "Finding Community Structure in Very Large Networks," Phys. Rev. E 70 (066111) (2004).
12. M. Girvan and M. E. J. Newman, "Community Structure in Social and Biological Networks," Proc. Natl. Acad. Sci. USA 99, No.12, 7821-7826 (2002).
13. R. Luce, "Connectivity and Generalized Cliques in Sociometric Group Structure," Psychometrika 15, No.2, 169-190 (1950).
14. S. B. Seidman and B. L. Foster, "A Graph-Theoretic Generalization of the Clique Concept," J. Mathematical Soc. 6, 139-154 (1978).
15. R. Alba, "A Graph-Theoretic Definition of a Sociometric Clique," J. Mathematical Soc. 3, 113-126 (1973).
16. K. Dasgupta, R. Singh, B. Viswanathan, D. Chakraborty, S. Mukherjea, A. A. Nanavati, and A. Joshi, "Social Ties and Their Relevance to Churn in Mobile Telecom Networks," Proceedings of the 11th International Conference on Extending Database Technology: Advances in Database Technology, March 25, 2008, pp. 668-677.
17. K. Singley, J. Lai, L. Kuang, and J. Tang, "BlueReach: Harnessing Synchronous Chat to Support Expertise Sharing in a Large Organization," Proceedings of the Conference on Human Factors in Computing Systems, CHI 2008, Florence, Italy, April 5-10, 2008, pp. 2001-2008.
18. B. Schölkopf and A. J. Smola, Learning with Kernels, MIT Press, Cambridge, MA, 2002.
19. H. T. Lin, C. J. Lin, and R. C. Weng, "A Note on Platt's Probabilistic Outputs for Support Vector Machines," Machine Learning 68, 267-276 (2007).
20. Apache Software Foundation, "Overview: Lucene"; see http:// lucene.apache.org/java/docs/.