Table of Contents Author Guidelines Submit a Manuscript
Scientific Programming
Volume 2015 (2015), Article ID 451476, 13 pages
http://dx.doi.org/10.1155/2015/451476
Research Article

Skillrank: Towards a Hybrid Method to Assess Quality and Confidence of Professional Skills in Social Networks

1Universidad Carlos III de Madrid, Avenida Universidad 30, Leganés, 28911 Madrid, Spain
2Wrocław University of Technology, Wyspianskiego 27, 50-370 Wrocław, Poland
3Østfold University College, B R A Veien 4, 1783 Halden, Norway
4SRH University Berlin, Ernst-Reuter-Platz 10, 10587 Berlin, Germany

Received 3 February 2014; Revised 1 November 2014; Accepted 21 November 2014

Academic Editor: Przemyslaw Kazienko

Copyright © 2015 Jose María Álvarez-Rodríguez et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. F. Bonchi, C. Castillo, A. Gionis, and A. Jaimes, “Social network analysis and mining for business applications,” ACM Transactions on Intelligent Systems and Technology, vol. 2, no. 3, article 22, 2011. View at Publisher · View at Google Scholar · View at Scopus
  2. M. Neshati, D. Hiemstra, E. Asgari, and H. Beigy, “Integration of scientific and social networks,” World Wide Web, vol. 17, no. 5, pp. 1051–1079, 2014. View at Publisher · View at Google Scholar · View at Scopus
  3. K. Musiał and P. Kazienko, “Social networks on the Internet,” World Wide Web, vol. 16, no. 1, pp. 31–72, 2013. View at Publisher · View at Google Scholar · View at Scopus
  4. X. Tang and C. C. Yang, “Ranking user influence in healthcare social media,” ACM Transactions on Intelligent Systems and Technology, vol. 3, no. 4, article 73, pp. 1–21, 2012. View at Publisher · View at Google Scholar
  5. T. Schleyer, B. S. Butler, M. Song, and H. Spallek, “Conceptualizing and advancing research networking systems,” ACM Transactions on Computer-Human Interaction, vol. 19, no. 1, article 2, 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. R. Colomo-Palacios, E. Tovar-Caro, Á. García-Crespo, and J. M. Gómez-Berbís, “Identifying technical competences of IT professionals: the case of software engineers,” International Journal of Human Capital and Information Technology Professionals, vol. 1, no. 1, pp. 31–43, 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. Y. Xu, X. Guo, J. Hao, J. Ma, R. Y. K. Lau, and W. Xu, “Combining social network and semantic concept analysis for personalized academic researcher recommendation,” Decision Support Systems, vol. 54, no. 1, pp. 564–573, 2012. View at Publisher · View at Google Scholar · View at Scopus
  8. D. W. McDonald and M. S. Ackerman, “Expertise recommender: a flexible recommendation system and architecture,” in Proceedings of the ACM Conference on Computer Supported Cooperative Work, pp. 231–240, New York, NY, USA, December 2000. View at Scopus
  9. R. Berendsen, M. de Rijke, K. Balog, T. Bogers, and A. van den Bosch, “On the assessment of expertise profiles,” Journal of the American Society for Information Science and Technology, vol. 64, no. 10, pp. 2024–2044, 2013. View at Publisher · View at Google Scholar · View at Scopus
  10. G. A. Wang, J. Jiao, A. S. Abrahams, W. Fan, and Z. Zhang, “ExpertRank: a topic-aware expert finding algorithm for online knowledge communities,” Decision Support Systems, vol. 54, no. 3, pp. 1442–1451, 2013. View at Publisher · View at Google Scholar · View at Scopus
  11. R. Colomo-Palacios, I. González-Carrasco, J. L. López-Cuadrado, A. Trigo, and J. E. Varajao, “I-Competere: using applied intelligence in search of competency gaps in software project managers,” Information Systems Frontiers, vol. 16, no. 4, pp. 607–625, 2014. View at Publisher · View at Google Scholar · View at Scopus
  12. A. Capiluppi, A. Serebrenik, and L. Singer, “Assessing technical candidates on the social web,” IEEE Software, vol. 30, no. 1, pp. 45–51, 2013. View at Publisher · View at Google Scholar · View at Scopus
  13. M. Taylor and D. Richards, “Finding and validating expertise,” in Proceedings of the 19th European Conference on Information Systems (ECIS '11), Helsinki, Finland, 2011.
  14. E. Ben Ahmed, A. Nabli, and F. Gargouri, “Group extraction from professional social network using a new semi-supervised hierarchical clustering,” Knowledge and Information Systems, vol. 40, no. 1, pp. 29–47, 2014. View at Publisher · View at Google Scholar · View at Scopus
  15. V. Boeva, M. Krusheva, and E. Tsiporkova, “Measuring expertise similarity in expert networks,” in Proceedings of the 6th IEEE International Conference Intelligent Systems (IS '12), pp. 53–57, Sofia, Bulgaria, September 2012. View at Publisher · View at Google Scholar · View at Scopus
  16. L. Page, S. Brin, R. Motwani, and T. Winograd, “The PageRank citation ranking: bringing order to the web,” Stanford Digital Library Technologies Project, 1998.
  17. J. M. Kleinberg, “Hubs, authorities, and communities,” ACM Computing Surveys, vol. 31, no. 4, article 5es, 1999. View at Publisher · View at Google Scholar
  18. C. A. Yeung, M. G. Noll, N. Gibbins, C. Meinel, and N. Shadbolt, “Spear: spamming-resistant expertise analysis and ranking in collaborative tagging systems,” Computational Intelligence, vol. 27, no. 3, pp. 458–488, 2011. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  19. M. G. Noll, C.-M. Au Yeung, N. Gibbins, C. Meinel, and N. Shadbolt, “Telling experts from spammers: expertise ranking in folksonomies,” in Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '09), pp. 612–619, July 2009. View at Publisher · View at Google Scholar · View at Scopus
  20. B. Hoppe and C. Reinelt, “Social network analysis and the evaluation of leadership networks,” The Leadership Quarterly, vol. 21, no. 4, pp. 600–619, 2010. View at Publisher · View at Google Scholar · View at Scopus
  21. T. Lappas, K. Liu, and E. Terzi, “A survey of algorithms and systems for expert location in social networks,” in Social Network Data Analytics, C. C. Aggarwal, Ed., pp. 215–241, Springer, New York, NY, USA, 2011. View at Publisher · View at Google Scholar · View at MathSciNet
  22. X. Liu, G. A. Wang, A. Johri, M. Zhou, and W. Fan, “Harnessing global expertise: a comparative study of expertise profiling methods for online communities,” Information Systems Frontiers, vol. 16, no. 4, pp. 715–727, 2014. View at Publisher · View at Google Scholar · View at Scopus
  23. J. J. Jung and P. Kazienko, “Advances on social network applications,” Journal of Universal Computer Science, vol. 18, no. 4, pp. 454–456, 2012. View at Google Scholar · View at Scopus
  24. M. Sanderson, “Test collection based evaluation of information retrieval systems,” Foundations and Trends in Information Retrieval, vol. 4, no. 4, pp. 247–375, 2010. View at Publisher · View at Google Scholar · View at Scopus
  25. K. Hofmann, S. Whiteson, and M. D. Rijke, “Fidelity, soundness, and efficiency of interleaved comparison methods,” ACM Transactions on Information Systems, vol. 31, no. 4, article 17, pp. 1–43, 2013. View at Publisher · View at Google Scholar · View at Scopus
  26. T. Haselmann, A. Winkelmann, and G. Vossen, “Towards a conceptual model for trustworthy skills profiles in online social networks,” in Information Systems Development, J. Pokorny, V. Repa, K. Richta et al., Eds., pp. 285–296, Springer, New York, NY, USA, 2011. View at Google Scholar
  27. M.-E. Del-Moral Pérez and A.-P. Guzmán-Duque, “CityVille: collaborative game play, communication and skill development in social networks,” Journal of New Approaches in Educational Research, vol. 3, no. 1, pp. 11–19, 2014. View at Publisher · View at Google Scholar
  28. A. Cabrales, A. Calvó-Armengol, and Y. Zenou, “Social interactions and spillovers,” Games and Economic Behavior, vol. 72, no. 2, pp. 339–360, 2011. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  29. Y. P. Hsieh, “Online social networking skills: the social affordances approach to digital inequality,” First Monday, vol. 17, no. 4, 2012. View at Google Scholar · View at Scopus
  30. G. E. Bolton, E. Katok, and A. Ockenfels, “How effective are electronic reputation mechanisms? An experimental investigation,” Management Science, vol. 50, no. 11, pp. 1587–1602, 2004. View at Publisher · View at Google Scholar · View at Scopus
  31. D.-R. Liu, Y.-H. Chen, W.-C. Kao, and H.-W. Wang, “Integrating expert profile, reputation and link analysis for expert finding in question-answering websites,” Information Processing and Management, vol. 49, no. 1, pp. 312–329, 2013. View at Publisher · View at Google Scholar · View at Scopus
  32. J. M. Alvarez-Rodríguez, J. E. L. Gayo, and P. O. de Pablos, “An extensible framework to sort out nodes in graph-based structures powered by the spreading activation technique: the ONTOSPREAD approach,” International Journal of Knowledge Society Research, vol. 3, no. 4, pp. 57–71, 2012. View at Publisher · View at Google Scholar
  33. J. M. Alvarez, L. Polo, W. Jimenez, P. Abella, and J. E. Labra, “Application of the spreading activation technique for recommending concepts of well-known ontologies in medical systems,” in Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB '11), pp. 626–635, August 2011. View at Publisher · View at Google Scholar · View at Scopus
  34. E. Amigó, D. Spina, B. Beotas, and J. Gonzalo, “Towards an evaluation framework for topic extraction systems for online reputation management,” in Proceedings of the 1st Workshop on Dynamic Networks and Knowledge Discovery (DyNaK '10), pp. 101–111, September 2010. View at Scopus
  35. A. G. West, A. J. Aviv, J. Chang et al., “QuanTM: a quantitative trust management system,” in Proceedings of the 2nd European Workshop on System Security (EUROSEC '09), pp. 28–35, Nuremberg, Germany, March 2009.
  36. K. Balog, Y. Fang, M. de Rijke, P. Serdyukov, and L. Si, “Expertise retrieval,” Foundations and Trends in Information Retrieval, vol. 6, no. 2-3, pp. 127–256, 2012. View at Publisher · View at Google Scholar · View at Scopus
  37. A. Bozzon, M. Brambilla, S. Ceri, M. Silvestri, and G. Vesci, “Choosing the right crowd: expert finding in social networks,” in Proceedings of the 16th International Conference on Extending Database Technology (EDBT '13), pp. 637–648, Genoa, Italy, March 2013. View at Publisher · View at Google Scholar · View at Scopus
  38. Ç. Aslay, N. O'Hare, L. M. Aiello, and A. Jaimes, “Competition-based networks for expert finding,” in Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '13), pp. 1033–1036, New York, NY, USA, August 2013. View at Publisher · View at Google Scholar · View at Scopus
  39. J. Rybak, K. Balog, and K. Nørvåg, “Temporal expertise profiling,” in Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings, vol. 8416 of Lecture Notes in Computer Science, pp. 540–546, 2014. View at Publisher · View at Google Scholar
  40. S. Fortunato and A. Lancichinetti, “Community detection algorithms: a comparative analysis: invited presentation, extended abstract,” in Proceedings of the 4th International ICST Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS '09), p. 27, 2009.
  41. A. Mislove, B. Viswanath, K. P. Gummadi, and P. Druschel, “You are who you know: inferring user profiles in online social networks,” in Proceedings of the 3rd ACM International Conference on Web Search and Data Mining (WSDM '10), pp. 251–260, February 2010. View at Publisher · View at Google Scholar · View at Scopus
  42. D. U. Patton, R. D. Eschmann, and D. A. Butler, “Internet banging: new trends in social media, gang violence, masculinity and hip hop,” Computers in Human Behavior, vol. 29, no. 5, pp. A54–A59, 2013. View at Publisher · View at Google Scholar · View at Scopus
  43. A. Ortigosa, R. M. Carro, and J. . Quiroga, “Predicting user personality by mining social interactions in Facebook,” Journal of Computer and System Sciences, vol. 80, no. 1, pp. 57–71, 2014. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  44. C.-C. Musat, B. Faltings, and P. Roussille, “A model of online social interactions based on sentiment analysis and content similarity,” HUMAN, vol. 2, no. 1, pp. 55–66, 2013. View at Google Scholar
  45. R. Colomo-Palacios, C. Casado-Lumbreras, P. Soto-Acosta, F. J. García-Peñalvo, and E. Tovar-Caro, “Competence gaps in software personnel: a multi-organizational study,” Computers in Human Behavior, vol. 29, no. 2, pp. 456–461, 2013. View at Publisher · View at Google Scholar · View at Scopus
  46. F. J. García-Peñalvo, R. Colomo-Palacios, and M. D. Lytras, “Informal learning in work environments: training with the Social Web in the workplace,” Behaviour and Information Technology, vol. 31, no. 8, pp. 753–755, 2012. View at Publisher · View at Google Scholar · View at Scopus
  47. R. Colomo-Palacios, I. González-Carrasco, J. L. López-Cuadrado, and Á. García-Crespo, “Resyster: a hybrid recommender system for scrum team roles based on fuzzy and rough sets,” International Journal of Applied Mathematics and Computer Science, vol. 22, no. 4, pp. 801–816, 2012. View at Publisher · View at Google Scholar · View at Scopus
  48. P. Kazienko, N. Szozda, T. Filipowski, and W. Blysz, “New business client acquisition using social networking sites,” Electronic Markets, vol. 23, no. 2, pp. 93–103, 2013. View at Publisher · View at Google Scholar · View at Scopus
  49. V. Stantchev and G. Tamm, “Reducing information asymmetry in cloud marketplaces,” International Journal of Human Capital and Information Technology Professionals, vol. 3, no. 4, pp. 1–10, 2012. View at Google Scholar
  50. L. Li, Y. Shang, and W. Zhang, “Improvement of HITS-based algorithms on web documents,” in Proceedings of the 11th International Conference on World Wide Web (WWW '02), pp. 527–535, New York, NY, USA, May 2002. View at Publisher · View at Google Scholar · View at Scopus
  51. A. Hannak, P. Sapiezynski, A. M. Kakhki et al., “Measuring personalization of web search,” in Proceedings of the 22nd international conference on World Wide Web (WWW '13), pp. 527–538, 2013.
  52. B. Succar, W. Sher, and A. Williams, “An integrated approach to BIM competency assessment, acquisition and application,” Automation in Construction, vol. 35, pp. 174–189, 2013. View at Publisher · View at Google Scholar · View at Scopus