A graph-based comprehensive reputation model: Exploiting the social context of opinions to enhance trust in social commerce

Information Sciences

Volumn 318, Issue , 2015, Pages 51-72

  Yan, Su Rong ^a,b   Zheng, Xiao Lin ^a   Wang, Yan ^c   Song, William Wei ^d   Zhang, Wen Yu ^b  

^a ZHEJIANG UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^c MACQUARIE UNIVERSITY   (Australia)

^d DALARNA UNIVERSITY   (Sweden)

Author keywords

Reputation; Risk tolerance; Social commerce; Social context

Indexed keywords

GRAPHIC METHODS;

GOVERNANCE STRUCTURES; RELATIONSHIP NETWORKS; REPUTATION; REPUTATION MECHANISM; RISK TOLERANCE; SOCIAL COMMERCES; SOCIAL CONTEXT; SOCIAL RELATIONSHIPS;

COMMERCE;

EID: 84930857330     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2014.09.036     Document Type: Article

References (59)

1. S. Al-Ou, H.N. Kim, and A.E. Saddik A group trust metric for identifying people of trust in online social networks Expert Syst. Appl. 39 18 2012 13173 13181
2. P. Bedi, and R. Sharma Trust based recommender system using ant colony for trust computation Expert Syst. Appl. 39 1 2012 1183 1190
3. D. Beisel, The emerging field of social commerce and social shopping, in: Proceedings of Genuine VC, 2006.
4. T. Beth, M. Borcherding, and B. Klein Valuation of Trust in Open Networks 1994 Springer Berlin Heidelberg
5. S. Buchegger, J.Y. Le Boudec, A robust reputation system for P2P and mobile ad-hoc networks, in: the Second Workshop on the Economics of Peer-to-Peer Systems (P2PEcon), 2004, pp. 1-6.
6. C. Burnett, T.J. Norman, K. Sycara, Bootstrapping trust evaluations through stereotypes, in: Proceedings of the 9th International Conference on Autonomous Agents and Multiagent System (AAMAS), 2010, pp. 241-248.
7. J. Caverlee, L. Liu, and S. Webb The SocialTrust framework for trusted social information management: architecture and algorithms Inform. Sci. 180 1 2010 95 112 (special Issue on Collective Intelligence)
8. M. Chen, J.P. Singh, Computing and using reputations for internet ratings, in: The 3rd ACM Proceeding on Electronic Commerce(ACM-EC), Tampa, USA, 2001, pp. 154-162.
9. S. Cook The contribution revolution: letting volunteers build your business Harvard Bus. Rev. 2008 60 69
10. V. Deora, J. Shao, W. Gray, J. Fiddian, A quality of service management framework based on user expectations, in: The International Conference on Service-oriented Computing (ICSOC), Trento, Italie, 2003, pp. 104-114.
11. C. Dellarocas Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior The ACM Proceeding on Electronic Commerce (ACM-EC)) 2000 ACM Minneapolis, MN, USA 150 157
12. C. Dellarocas Strategic manipulation of internet opinion forums: implications for consumers and firms Manage. Sci. 52 10 2006 1577 1593
13. A. Fernandes, E. Kotsovinos, S. Östring, and B. Dragovic Pinocchio: incentives for honest participation in distributed trust management Trust Management 2004 Springer Berlin Heidelberg 63 77
14. M. Fishbein, and I. Ajzen Beliefs, Attitude, Intention and Behavior: An Introduction to Theory and Research 1975 Addison-Wesley Reading, MA
15. Z.B. Gan, Q. Ding, V. Varadharajan, Reputation-based trust network modeling and simplification in multiagent-based e-commerce systems, in: Fifth International Conference on Next Generation Web Services Practices (NWESP'09), 2009, pp.60-67.
16. J. Golbeck Generating predictive movie recommendations from trust in social networks The International conference on Trust Management 2006 Springer-Verlag Berlin, Heidelberg 93 104
17. S. Guo, M.Q. Wang, J. Leskovec, The role of social networks in online shopping: information passing, price of trust, and consumer choice, in: The ACM Conference on Electronic Commerce(ACM-EC), San Jose, California, USA, 2011, pp. 157-166.
18. K. Hoffman, D. Zage, and C. Nita-Rotaru A survey of attack and defense techniques for reputation systems ACM Comput. Surv. 42 1 2009 1 19
19. Z. Huang, W.Y. Chung, and H.C. Chen A graph model for e-commerce recommender systems J. Am. Soc. Inform. Sci. Technol. 55 3 2004 259 274
20. M. Jamali, Probablisitic Model for Recommendation in Social Networks, Phd Thesis, Simon Fraser University, 2013.
21. X. Jin, and S.H.G. Chan Reputation estimation and query in peer-to-peer networks IEEE Commun. Mag. 48 4 2010 122 127
22. Y. Jin, and M. Su Recommendation and repurchase intention thresholds: a joint heterogeneity response estimation Int. J. Res. Market. 26 3 2009 245 255
23. A. Jøsang, R. Ismail, and C. Boyd A survey of trust and reputation systems for online service provision Decis. Support Syst. 43 2 2007 618 644
24. R. Jurca, B. Faltings, An incentive compatible reputation mechanism, in: IEEE Conference on E-Commerce, CEC, 2003, Newport Beach, CA, USA, 2003, pp. 285-292.
25. G. Kambourakis Anonymity and closely related terms in the cyberspace: an analysis by example J. Inform. Secur. Appl. 2014 10.1016/j.jisa.2014.04.001
26. C. Liao, J.L. Chen, and D.C. Yen Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: an integrated model Comput. Hum. Behav. 23 6 2007 2804 2822
27. R. Kerr, and R. Cohen Trust as a tradable commodity: a foundation for safe electronic marketplaces Comput. Intell. 26 2 2010 160 182
28. H. Kim, R.D. Galliers, N. Shin, J.H. Ryoo, and J. Kim Factors influencing Internet shopping value and customer repurchase intention Electron. Commer. Res. Appl. 11 14 2012 374 387
29. Y.M. Li, and C.P. Kao TREPPS: a trust-based recommender system for peer production services Expert Syst. Appl. 36 1 2009 3263 3277
30. S.L. Linda Social commerce-E-commerce in social media context Word Acad. Sci., Eng. Technol. 50 2011 39 44
31. J. Liu, Y. Cao, C.-Y. Lin, Y. Huang, M. Zhou, Low-quality product review detection in opinion summarization, in: The Joint Conference on Empirical Methods in Natural Language Processingand Computational Natural Language Learning (EMNLPCoNLL), 2007, pp. 334-342.
32. Y. Lu, P. Tsaparas, A. Ntoulas, and L. Polanyi Exploiting social context for review quality prediction The 19th International Conference on World Wide Web (WWW) 2010 ACM 691 700
33. Y. Lu, L. Zhao, and B. Wang From virtual community members to C2C e-commerce buyers: trust in virtual communities and its effect on consumers purchase intention Electron. Commer. Res. Appl. 9 4 2010 346 360
34. D. Lucking-Reiley Auctions on the Internet: what's being auctioned, and how? J. Ind. Econ. 48 3 2000 227 252
35. J.F. Luo, S.L. Ba, and H. Zhang The effectiveness of online shopping characteristics and well-designed websites on satisfaction MIS Quart. 36 4 2012 1131 1144
36. D.H. McKnight, V. Choudhury, and C. Kacmar Developing and validating trust measures for e-commerce: an integrative typology Inform. Syst. Res. 13 3 2012 334 359
37. M. Parameswaran, and A.B. Whinston Social computing: an overview Commun. Assoc. Inform. Syst. 19 2007 762 780
38. P.A. Pavlou Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model Int. J. Electron. Commer. 7 3 2003 101 134
39. C. Riegner Word of mouth on the web: the impact of web 2.0 on consumer. purchase decisions J. Advertising Res. 47 4 2007 436-248
40. M. Sensoy, J. Zhang, P. Yolum, and R. Cohen POYRAZ: context-aware service selection under deception Comput. Intell. 25 4 2009 335 366
41. A.T. Stephen, and O. Toubia Deriving value from social commerce networks J. Market. Res. 47 2 2010 215 228
42. J.M. Such, A. Espinosa, A. Garcia-Fornes, and V. Botti Partial identities as a foundation for trust and reputation Eng. Appl. Artif. Intell. 24 7 2011 1128 1136
43. M. Tavakolifard, and K.C. Almeroth Social computing: an intersection of recommender systems, trust/reputation systems, and social networks IEEE Netw. 26 4 2012 53 58
44. W.T.L. Teacy, J. Patel, N.R. Jennings, and M. Luck TRAVOS: trust and reputation in the context of inaccurate information sources Auton. Agents Multi-Agent Syst. 12 2 2006 83 198
45. W.T. Teacy, M. Luck, A. Rogers, and N.R. Jennings An efficient and versatile approach to trust and reputation using hierarchical Bayesian modelling Artif. Intell. 193 2012 149 185
46. O. Tsur, A. Rappoport, REVRANK: a fully unsupervised algorithm for selecting the most helpful book reviews, in: The International Conferences on Weblogs and Social Media (ICWSM), 2009, pp. 154-161.
47. S. Utz, P. Kerkhof, and J. Van den Bos Consumers rule: how consumer reviews influence perceived trustworthiness of online stores Electron. Commer. Res. Appl. 11 1 2012 49 58
48. C. Von Der Weth, and K. Böhm A unifying framework for behavior-based trust models On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE 2006 Springer Berlin Heidelberg 444 461
49. Y. Wang, D.S. Wong, K.J. Lin, and V. Varadharajan Evaluating transaction trust and risk levels in peer-to-peer e-commerce environments Inform. Syst. E-Business Manage. 6 1 2007 25 48
50. C. Wang, and P. Zhang The evolution of social commerce: an examination from the people, business, technology, and information perspective Commun. AIS (CAIS) 31 2012 105 127
51. A. Whitby, A. Jøsang, J. Indulska, Filtering out unfair ratings in bayesian reputation systems, in: Proceedings of the Workshop on Trust in Agent Societies, at the Autonomous Agents and Multi Agent Systems Conference (AAMAS), New York, 2004.
52. F. Wu, H.H. Li, and Y.H. Kuo Reputation evaluation for choosing a trustworthy counter party in C2C e-commerce Electron. Commer. Res. Appl. 10 4 2011 428 436
53. K.Q. Xu, X.T. Guo, J.X. Li, R.Y.K. Lau, and S.S.Y. Liao Discovering target groups in social networking sites: an effective method for maximizing joint influential power Electron. Commer. Res. Appl. 11 4 2012 318 334
54. K.Q. Xu, J.X. Li, and Y.X. Song Identifying valuable customers on social networking sites for profit maximization Expert Syst. Appl. 39 17 2012 13009 13018
55. H. Yu, P. Gibbons, M. Kaminsky, and F. Xiao SybilLimit: a near-optimal social network defense against sybil attacks IEEE/ACM Trans. Netw. 18 3 2010 885 898
56. H. Yu, M. Kaminsky, P.B. Gibbons, A. Flaxman, SybilGuard: defending against Sybil attacks via social networks, in: Proceedings of the ACM Special Interest Group on Data Communicatio (SIGCOMM), New York, NY, USA, 2006, pp. 267-278.
57. W. Yuan, D. Guan, Y.K. Lee, S. Lee, and S.J. Hur Improved trust-aware recommender system using small-worldness of trust networks Knowl.-Based Syst. 23 3 2010 232 238
58. Y. Zhang, Y. Fang, K.K. Wei, E. Ramsey, P. McCole, and H. Chen Repurchase intention in B2C e-commerce - a relationship quality perspective Inform. Manage. 48 6 2011 92 200
59. H.T. Zou, Z.G. Gong, N. Zhang, W. Zhao, and J.Z. Guo TrustRank: a cold-start tolerant recommender system Enterprise Inform. Syst 2013 1 22 (ahead-of-print)