Expertise ranking using activity and contextual link measures

Data and Knowledge Engineering

Volumn 71, Issue 1, 2012, Pages 92-113

  Schall, Daniel ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Contextual expertise mining; Crowdsourcing; Importance ranking; Link analysis; Social networks

Indexed keywords

CONTEXTUAL EXPERTISE MINING; CROWDSOURCING; IMPORTANCE RANKING; LINK ANALYSIS; SOCIAL NETWORKS;

TELECOMMUNICATION EQUIPMENT; USER INTERFACES;

TELEPHONE CIRCUITS;

EID: 80455177096     PISSN: 0169023X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.datak.2011.08.001     Document Type: Article

References (60)

1. J. Howe The rise of crowdsourcing http://www.wired.com/wired/archive/14. 06/crowds.html (Jun. 2006)
2. D. Brabham Crowdsourcing as a model for problem solving: an introduction and cases Convergence 14 1 2008 75
3. A. Parameswaran, A.D. Sarma, H. Garcia-Molina, N. Polyzotis, and J. Widom Human-assisted graph search: it's okay to ask questions Proceedings of the VLDB Endowment 4 2011 267 278
4. Amazon Mechnical Turk http://www.mturk.com (Jan. 2011)
5. P.G. Ipeirotis Analyzing the Amazon Mechanical Turk marketplace XRDS 17 2010 16 21
6. F. Bonchi, C. Castillo, A. Gionis, and A. Jaimes Social network analysis and mining for business applications ACM Transactions on Intelligent Systems and Technology 2 2011 22:1 22:37
7. I. Becerra-Fernandez Searching for experts on the Web: a review of contemporary expertise locator systems ACM Transaction on Internet Technologies 6 4 2006 333 355 (Pubitemid 44893431)
8. L. Page, S. Brin, R. Motwani, and T. Winograd The PageRank citation ranking: bringing order to the web Tech. rep., Stanford Digital Library Technologies Project 1998
9. J. Kleinberg Authoritative sources in a hyperlinked environment Journal of the ACM 46 1999 668 677
10. J. Zhang, M.S. Ackerman, and L. Adamic Expertise networks in online communities: structure and algorithms WWW'07, ACM 2007 221 230 (Pubitemid 47582252)
11. P. Berkhin Survey: a survey on PageRank computing Internet Mathematics 2 1 2005 73 120
12. Q. Su, D. Pavlov, J.-H. Chow, and W.C. Baker Internet-scale collection of human-reviewed data WWW'07, ACM 2007 231 240 (Pubitemid 47582253)
13. L. von Ahn Games with a purpose IEEE Computer 39 6 2006 92 94
14. T. Yan, V. Kumar, and D. Ganesan Crowdsearch: exploiting crowds for accurate real-time image search on mobile phones MobiSys'10, ACM 2010 77 90
15. D. Schall A human-centric runtime framework for mixed service-oriented systems Distributed and Parallel Databases 29 2011 333 360 10.1007/s10619-011- 7081-z URL http://dx.doi.org/10.1007/s10619-011-7081-z
16. D. Schall, Human interactions in mixed systems - architecture, protocols, and algorithms, PhD Thesis in Computer Science, Vienna University of Technology (2009).
17. J. Lu Ranking bias in deep web size estimation using capture recapture method Data & Knowledge Engineering 69 8 2010 866 879 10.1016/j.datak.2010. 03.007 URL http://www.sciencedirect.com/science/article/pii/S01690 23X10000479
18. A. Koschmider, T. Hornung, and A. Oberweis Recommendation-based editor for business process modeling Data & Knowledge Engineering 70 6 2011 483 503 10.1016/j.datak.2011.02.002 URL http://www.sciencedirect.com/science/article/ pii/S01690 23X11000164
19. B. Dom, I. Eiron, A. Cozzi, and Y. Zhang Graph-based ranking algorithms for e-mail expertise analysis DMKD'03, ACM 2003 42 48
20. T. Karagiannis, and M. Vojnovic Email Information Flow in Large-Scale Enterprises Tech. Rep 2008 Microsoft Research
21. P. Chundi, M. Subramaniam, and D.K. Vasireddy An approach for temporal analysis of email data based on segmentation Data Knowledge Engineering 68 11 2009 1253 1270
22. H. Chen, J. Yan, H. Jin, S. Member, Y. Liu, S. Member, and L.M. Ni Tss: efficient term set search in large peer-to-peer textual collections IEEE Transactions on Computers 59 7 2010 969 980
23. D. Horowitz, and S.D. Kamvar The anatomy of a largescale social search engine WWW'10, ACM 2010 431 440
24. P. Boldi, F. Bonchi, C. Castillo, and S. Vigna Viscous democracy for social networks Communications of the ACM 54 2011 129 137
25. J.F. Rodrigues, H. Tong, A.J.M. Traina, C. Faloutsos, and J. Leskovec Gmine: a system for scalable, interactive graph visualization and mining VLDB'06, VLDB Endowment 2006 1195 1198
26. J. Tang, J. Zhang, D. Zhang, L. Yao, C. Zhu, and J.-Z. Li Arnetminer: an expertise oriented search system for web community Semantic Web Challenge 2007
27. J. Nielsen http://www.useit.com/alertbox/participationinequality.html (Oct. 2006)
28. A.-L. Barabási The origin of bursts and heavy tails in human dynamics Nature 435 2005 207
29. J.-P. Onnela, J. Saramäki, J. Hyvönen, G. Szabó, M.A. de Menezes, K. Kaski, A.-L. Barabási, and J. Kertész Analysis of a large-scale weighted network of one-to-one human communication New Journal of Physics 9 6 2007 179
30. C.A. Besemann, J. Wu, and A.M. Denton A log-linear approach to mining significant graph-relational patterns Data & Knowledge Engineering 70 6 2011 527 554 10.1016/j.datak.2011.02.004 URL http://www.sciencedirect.com/science/ article/pii/S01690 23X11000267
31. R. Milo, S. Shen-Orr, S. Itzkovitz, N. Kashtan, D. Chklovskii, and U. Alon Network motifs: simple building blocks of complex networks Science 298 5594 2002 824 827 (Pubitemid 35231534)
32. R. Milo, S. Itzkovitz, N. Kashtan, R. Levitt, S.S. Orr, I. Ayzenshtat, M. Sheffer, and U. Alon Superfamilies of evolved and designed networks Science 303 2004 1538 1542 (Pubitemid 38314428)
33. L. Adamic, J. Zhang, E. Bakshy, and M. Ackerman Knowledge sharing and yahoo answers: everyone knows something WWW'08, ACM 2008 665 674
34. J.-P. Onnela, J. Saramäki, J. Kertész, and K. Kaski Intensity and coherence of motifs in weighted complex networks Physical Review E 71 6 2005 065103
35. M. Bianchini, M. Gori, and F. Scarselli Inside PageRank ACM Transaction on Internet Technologies 5 1 2005 92 128 (Pubitemid 40449665)
36. M. Brinkmeier PageRank revisited ACM Transaction on Internet Technologies 6 3 2006 257 279
37. M. Richardson, and P. Domingos The intelligent surfer: probabilistic combination of link and content information in PageRank Advances in Neural Information Processing Systems 14 2002 MIT Press 1441 1448
38. T.H. Haveliwala Topic-sensitive PageRank WWW'02 2002 517 526
39. J. Weng, E.-P. Lim, J. Jiang, and Q. He TwitterRank: finding topic-sensitive influential twitterers WSDM'10, ACM 2010 261 270
40. G. Jeh, and J. Widom Scaling personalized web search WWW'03, ACM 2003 271 279
41. D. Fogaras, K. Csalogany, B. Racz, and T. Sarlos Towards scaling fully personalized PageRank: algorithms, lower bounds, and experiments Internet Mathematics 2 3 2005 333 358
42. S. Chakrabarti Dynamic personalized PageRank in entity-relation graphs WWW'07, ACM 2007 571 580 (Pubitemid 47582286)
43. M. Rosvall, and K. Sneppen Self-assembly of information in networks Europhysics Letters 74 2006 1109
44. M.J. Conyon, and M.R. Muldoon Ranking the Importance of Boards of Directors Mims eprint April 2006 Manchester Institute for Mathematical Sciences, University of Manchester
45. Z. Dezsö, E. Almaas, A. Lukács, B. Rácz, I. Szakadát, and A.-L. Barabási Dynamics of information access on the web Physical Review E 73 2006 066132
46. A. Vázquez, J.G. Oliveira, Z. Dezsö, K.-I. Goh, I. Kondor, and A.-L. Barabási Modeling bursts and heavy tails in human dynamics Physical Review E 73 2006 036127
47. A.-L. Barabási The architecture of complexity: from network structure to human dynamics IEEE Control Systems Magazine 27 4 2007 33 42
48. P. Jurczyk, and E. Agichtein Discovering authorities in question answer communities by using link analysis CIKM'07, ACM 2007 919 922
49. F. Skopik, D. Schall, and S. Dustdar Start trusting strangers? bootstrapping and prediction of trust WISE'09 2009 Springer-Verlag 275 289
50. P. Berkhin A survey on PageRank computing Internet Mathematics 2 1 2005 73 120
51. X. Wang, T. Tao, J.-T. Sun, A. Shakery, and C. Zhai Dirichletrank: solving the zero-one gap problem of PageRank ACM Transactions on Information Systems 26 2 2008 1 29
52. H. Psaier, L. Juszczyk, F. Skopik, D. Schall, and S. Dustdar Runtime behavior monitoring and self-adaptation in service-oriented systems SASO, IEEE 2010 164 173
53. C. Castellano, S. Fortunato, and V. Loreto Statistical physics of social dynamics Reviews of Modern Physics 81 2 2009 591 646
54. N. Eagle, and A. Pentland Reality mining: sensing complex social systems Personal and Ubiquitous Computing 10 2006 255 268
55. Email Mining http://www.infosys.tuwien.ac.at/staff/dschall/email/ (Feb. 2011)
56. D.J. Watts, and S.H. Strogatz Collective dynamics of small-world networks Nature 393 6684 1998 440 442
57. G. Pandurangan, P. Raghavan, and E. Upfal Using PageRank to characterize web structure Internet Mathematics 3 1 2006 1 20
58. Enron Email Dataset http://www-2.cs.cmu.edu/enron/ (Aug. 2009)
59. L. Lee Measures of Distributional Similarity ACL'99 1999 Association for Computational Linguistics 25 32
60. UC Berkeley Enron Email Analysis http://bailando.sims.berkeley.edu/enron- email.html