Estimating trust value: A social network perspective (original) (raw)
References
- Abdul-Rahman, A., & Hailes, S. (1997). A Distributed Trust Model. (T. Haigh, B. Blakley, M. E. Zurbo, & C. Meodaws, Eds.) Proceedings of the 1997 workshop on New security paradigms NSPW 97, 48–60.
- Bobadilla, J., Serradilla, F., & Bernal, J. (2010). A new collaborative filtering metric that improves the behavior of recommender systems. Knowledge-Based Systems, 23(6), 520–528.
Article Google Scholar - Breese, J. S., Heckerman, D., & Kadie, C. (1998). Empirical Analysis of Predictive Algorithms for Collaborative Filtering. (G. Cooper & S. Moral, Eds.) Proceedings of the 14th conference on Uncertainty in Artificial Intelligence, 461(8), 43–52, San Francisco, CA.
- Caverlee, J., Liu, L., & Webb, S. (2010). The Social Trust framework for trusted social information management: Architecture and algorithms. Information Sciences, 180(1), 95–112.
Article Google Scholar - Chen, S., & Dillon, C. (2003). Interpreting Dimensions of Consumer Trust in E-Commerce. Information Technology and Management, 4(2–3), 303–318.
Article Google Scholar - comScoree (2007). “Online Consumer-Generated Reviews Have Significant Impact on Offline Purchase Behavior,” press release, (November 29). http://www.comscore.com/press/release.asp?press =1928
- DuBois, T., Golbeck, J., Kleint, J., & Srinivasan, A. (2009). Improving Recommendation Accuracy by Clustering Social Networks with Trust. In Proceedings of the ACM RecSys 2009 Workshop on Recommender Systems and the Social Web, October.
- Golbeck, J. (2006). Generating Predictive Movie Recommendations from Trust in Social Networks. iTrust'06 Proceedings of the 4th international conference on Trust Management, 3986, pp. 93–104.
- Golbeck, J. (2009). Trust and nuanced profile similarity in online social networks. ACM Transactions on the Web, 3(4), 12–33.
Article Google Scholar - Gross, R., & Acquisti, A. (2005). Information revelation and privacy in online social networks. Human Factors, 0707(November), 71.
Google Scholar - Herbig, P. A., & Kramer, H. (1994). The Effect of Information Overload on the Innovation Choice Process: Innovation Overload. Journal of Consumer Marketing, 11(2), 45–54.
Article Google Scholar - Jiang, W., Wang, G., & Wu, J. (2014). Generating trusted graphs for trust evaluation in online social networks. Future Generation Computer Systems, 31, 48–58.
Article Google Scholar - Jin, S., Park, C., Choi, D., Chung, K., & Yoon, H. (2005). Cluster-based trust evaluation scheme in an ad hoc network. ETRI Journal, 27(4), 465–468.
Article Google Scholar - Kate S. (2009), “Trustworthiness within social networking sites: A study on the intersection of hci and sociology,” Master Thesis
- Katz, E., & Lazarsfeld, P. F. (1955). Personal influence: The part played by people in the flow of mass communications. New York: Free Press.
Google Scholar - Kautz, H., Selman, B., & Shah, M. (1997). Combining Social Networks and Collaborative Filtering. Communications of the ACM, 40(3), 63–65.
Article Google Scholar - Kim, Y. A., & Ahmad, M. A. (2013). Trust, distrust and lack of confidence of users in online social media-sharing communities. Knowledge-Based Systems, 37, 438–450.
Article Google Scholar - Kim, Y. A., & Phalak, R. (2012). A trust prediction framework in rating-based experience sharing social networks without a Web of Trust. Information Sciences, 191, 128–145.
Article Google Scholar - Kohonen, T. (1990). The Self-Organizing Map. Proceedings of the IEEE, 78(9), 1464–1480.
Article Google Scholar - Lagus, K., Honkela, T., Kaski, S., & Kohonen, T. (1996). Self-organizing maps of document collections: A new approach to interactive exploration. Neural Networks, 1(2), 238–243.
Google Scholar - Lathia, N., Hailes, S., & Capra, L. (2008). Trust-based collaborative filtering. Trust Management II, 263, 299–300.
Google Scholar - Liu, F., & Lee, H. J. (2010). Use of social network information to enhance collaborative filtering performance. Expert Systems with Applications, 37(7), 4772–4778.
Article Google Scholar - Liu, H., & Maes, P. (2005). Paper presented at the IUI’05. San Diego: California. Network. InterestMap: Harvesting Social Network Profiles for Recommendations.
Google Scholar - Lu, Y., Tsaparas, P., Ntoulas, A., & Polanyi, L. (2010). Exploiting social context for review quality prediction. Proceedings of the 19th international conference on World wide web WWW 10, 15(4), 691.
- Ma, H., Zhou, D., Liu, C., Lyu, M. R., & King, I. (2011). Recommender systems with social regularization. (I. King, W. Nejdl, & H. Li, Eds.) WSDM '11 Proceedings of the fourth ACM international conference on Web search and data mining, February 9–12, 2011, Hong Kong, China, pp. 287–296
- Massa, P., & Avesani, P. (2004). Trust-aware collaborative filtering for recommender systems. (R. Meersman & Z. Tari, Eds.) On the Move to Meaningful Internet Systems 2004 CoopIS DOA and ODBASE, 3290, pp. 492–508.
- Massa, P., & Bhattacharjee, B. (2004). Using trust in recommender systems: an experimental analysis. (C. D. Jensen, S. Poslad, & T. Dimitrakos, Eds.)Trust Management, 2995, pp. 221–235.
- McKnight, H., & Chervany N. (2001). Trust and distrust definitions: One bite at a time. In: Falcone, R., Singh M.P., & Tan Y.H. (Eds.) Trust in Cyber-Societies: Integrating the Human and Artificial Perspectives, pp. 27–54.
- Melville, P., & Sindhwani, V. (2010). Recommender Systems. Claude Sammut and Geoffrey Webb (Eds), Springer: Encyclopedia of Machine Learning.
Google Scholar - Meo, P. D., Graziella, V., Feo, L., Calabria, R., Nocera, A., Quattrone, G., Rosaci, D., et al. (2009). Finding reliable users and social networks in a social internetworking system. Social Networks, 173–181.
- Montaner, M., López, B., & De La Rosa, J. L. (2002). Developing trust in recommender agents. (M. Gini, T. Ishida, C. Castelfranchi, & W. L. Johnson, Eds.) Proceedings of the first international joint conference on Autonomous agents and multiagent systems part 1 AAMAS 02, 304.
- Mui, L., Mohtashemi, M., Ang, C., Szolovits, P., & Halberstadt, A. (2001). Ratings in Distributed Systems: A Bayesian Approach. Encounter, 1–7.
- Nambisan, S., & Nambisan, P. (2008). How to profit from a better virtual customer environment”. MIT Sloan Management Review, 49(3), 53–61.
Google Scholar - Nielsen Media. (2011) Social Media Report: Q3 2011. Nielsen Wire. http://blog.nielsen.com/nielsenwire/social/
- O’Donovan, J., & Smyth, B. (2005). Trust in recommender systems. Proceedings of the 10th international conference on Intelligent user interfaces IUI 05, 15, 167.
- Ortega, F. J., Troyano, J. A., Cruz, F. L., Vallejo, C. G., & Enríquez, F. (2012). Propagation of trust and distrust for the detection of trolls in a social network. Computer Networks, 56, 2884–2895.
Article Google Scholar - Pham, M. C., Cao, Y., Klamma, R., & Jarke, M. (2010). A Clustering Approach for Collaborative Filtering Recommendation Using Social Network Analysis. Journal Of Universal Computer Science, 17(4), 1–21.
Google Scholar - Rousseau, D. M., Sitkin, S. B., Burt, R. S., & Camerer, C. (1998). Not so different after all: A cross-discipline view of trust. Academy of Management Review, 23(3), 393–404.
Article Google Scholar - Rumelhart, D. E., & McClelland, J. L. (1986). Parallel Distributed Processing. (M. I. T. Press, Ed.) Foundations (Vol. 1, pp. 135–153). MIT Press.
- Ryu, Y., Kim, H. K., Cho, Y. H., & Kim, J. K. (2006). Peer-oriented content recommendation in a social network. In Paper presented at the 16th workshop on information technologies and systems (WITS 2006), pp. 115–120, 2006.
- Sarwar, B. M., Karypis, G., Konstan, J., & Riedl, J. (2002). Recommender Systems for Large-scale E-Commerce : Scalable Neighborhood Formation Using Clustering, In Paper presented at The Fifth International Conference on Computer and Information Technology (ICCIT 2002), pp. 393–402.
- Sashi, C. M. (2012). "Customer engagement, buyer-seller relationships, and social media", Management Decision, Vol. 50 Iss: 2, pp.253 - 272.
- Scherchan, W., Nepal, S., & Paris, C. (2013). A Survey of Trust in Social Networks. ACM Computing Surveys, 45(4), 1–33.
Article Google Scholar - Schultz, T. (2011). Preface. Annual Review of Entomology. Annual Reviews, A Nonprofit Scientific Publisher. Vol. 56.
- Sinha, R., & Swearingen, K. (2001). Comparing Recommendations Made by Online Systems and Friends. In Proceedings of the DELOS-NSF Workshop on Personalization and Recommender Systems in Digital Libraries. Ireland: Dublin.
Google Scholar - Stanier, J., Naicken, S., Basu, A., Li, J., & Wakeman, I. (2010). Can We Use Trust in Online Dating? Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications, 1(4), 50–61.
Google Scholar - Tan, F. & Sutherland, P. (2004). Online Consumer Trust: A Multi-Dimensional Model. IGI Global; Auckland University of Technology, Advanced Topics in Electronic Commerce, Chapter 10, pp. 188–208.
- Thackeray, R., Neiger, B. I., Hanson, C. L., & McKenzie, J. F. (2008). Enhancing promotional strategies within social marketing programs: use of Web 2.0 social media”. Health Promotion Practice, 9(4), 338–343.
Article Google Scholar - Yu, J. B..& Xi L. F. (2008). Using an MQE chart based on a self-organizing map to monitor out-of-control signals in manufacturing processes. International Journal of Production Research. Vol. 46, Iss. 21, pp. 5907–5933.
- Zhai, D., & Pan, H. (2008). A Social Network-Based Trust Model for E-Commerce. In 2008 4th International Conference on Wireless Communications Networking and Mobile Computing, (70639002) (pp. 1–5).
Google Scholar - Zhao, X., Li, P., & Kohonen, T. (2011). Contextual self-organizing map: software for constructing semantic representations. Behavior Research Methods, 43(1), 77–88.
Article Google Scholar - Zheng, X., Zeng, D., & Wang, F. Y. (2014). Social Balance in Signed Networks. Information Systems Frontiers: Online version.
Google Scholar - Ziegler, C. N., & Lausen, G. (2005). Propagation Models for Trust and Distrust in Social Networks. Information Systems Frontiers, 7(4–5), 337–358.
Article Google Scholar - Ziegler, C. N., & Golbeck, J. (2007). Investigating Correlations of Trust and Interest Similarity. Decision Support Systems, 43, 460–475.
Article Google Scholar