一种基于社交网络的电子商务信任模型与仿真

doi:10.16182/j.issn1004731x.joss.201808036

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (8): 3115-3123.doi: 10.16182/j.issn1004731x.joss.201808036

一种基于社交网络的电子商务信任模型与仿真

于真^1,2,3, 朱杰^1,2,3, 申贵成^1,2,3

1.北京物资学院信息学院,北京 101149;
2.北京市智能物流系统协同创新中心,北京 101149;
3.智能物流系统北京市重点实验室,北京 101149

收稿日期:2016-10-21 出版日期:2018-08-10 发布日期:2019-01-08
作者简介:于真(1983-),女,山东,博士,讲师,研究方向为电子商务信任管理与网络信息安全。
基金资助:
北京市教育委员会社科计划一般项目(SM201610037005),北京物资学院高级别项目培育项目(GJB20156001),北京物资学院科技协同攻关团队项目(2017GG04)

Trust Model and Simulation of E-commerce Based on Social Networks

Yu Zhen^1,2,3, Zhu Jie^1,2,3, Shen Guicheng^1,2,3

1. School of Information, Beijing Wuzi University, Beijing 101149, China;
2.Beijing Intelligent Logistics System Collaborative Innovation Center, Beijing 101149, China;
3.Beijing key Laboratory of Intelligent Logistics System, Beijing 101149, China

Received:2016-10-21 Online:2018-08-10 Published:2019-01-08

摘要/Abstract

摘要： 当前电子商务行业中,用户购买商品前大多需要查看针对该商品的历史评价,但是目前广泛存在的虚假推荐及海量冗余推荐问题严重影响了用户获取推荐的有效性和准确性。针对电子商务交易中信任的获取,提出一种基于社交网络的电子商务信任模型SNTrust。在SNTrust中,每个用户维护一个可信社交网络集合;模型阐述了用户在社交网络中消息扩散的拓扑结构,引入了推荐节点的综合信任度来衡量其可信程度,给出了交易的信任值求解算法。仿真实验表明,SNTrust信任模型可以有效提高电子商务的交易成功率,一定程度上遏制恶意节点行为。

关键词: 电子商务, 社交网络, 信任计算, 推荐

Abstract: In the current e-commerce industry, users need to check for the historical evaluation of the commodity before buying goods mostly, but false recommendations and massive redundancy recommendation problem which widely exists at present seriously affect the effectiveness and accuracy of users’ obtaining recommendations. For getting trust in e-commerce transactions, an e-commerce trust model SNTrust based on social networks is proposed. In SNTrust model, each user maintains a trusted social network set; a topological structure of the user information diffusion in the social network is described in the model, and the recommendation node trust is introduced to measure its credibility, the algorithm to compute the trust value of a transaction is given. Simulation results show that the SNTrust trust model can effectively improve success rates of e-commerce transactions, and curb the malicious behavior to a certain extent.

Key words: e-commerce, social networks, trust computing, recommendation

中图分类号:

TP393

于真, 朱杰, 申贵成. 一种基于社交网络的电子商务信任模型与仿真[J]. 系统仿真学报, 2018, 30(8): 3115-3123.

Yu Zhen, Zhu Jie, Shen Guicheng. Trust Model and Simulation of E-commerce Based on Social Networks[J]. Journal of System Simulation, 2018, 30(8): 3115-3123.

参考文献

[1] 杨玉洁. 社交网络属性对电子商务消费者信任的影响分析[J]. 商业时代, 2014(25): 67-69.
Yang yujie. Analysis of the Influence of Social Network Attributes on E-commerce Consumer Trust[J]. Commercial Times, 2014(25): 67-69.
[2] 甘早斌, 曾灿, 马尧, 等. 基于信任网络的C2C电子商务信任算法[J]. 软件学报, 2015, 26(8): 1946-1959.
Gan Z B, Zeng C, Ma Y, et al.C2C E-Commerce Trust Algorithm Based on Trust Network[J]. Journal of Software, 2015, 26(8): 1946-1959.
[3] Kamvar S D, Schlosser M T, Garcia-Molina H.The Eigentrust algorithm for reputation management in P2P networks[C]// International Conference on World Wide Web. ACM, 2003: 640-651.
[4] Wang Y, Vassileva J.Bayesian network-based trust model[C]// IEEE/WIC International Conference on. IEEE, 2003: 372-378.
[5] Xiong L, Liu L.PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities[J]. IEEE Transactions on Knowledge & Data Engineering (S1041-4347), 2004, 16(7): 843-857.
[6] 窦文, 王怀民, 贾焰, 等. 构造基于推荐的Peer-to-Peer环境下的Trust模型[J]. 软件学报, 2004, 15(4): 571-583.
Dou W, Wang H M, Jia Y, et al.A Recommendation- Based Peer-to-Peer Trust Model[J]. Journal of Software, 2004, 15(4): 571-583.
[7] 陈婷, 朱青, 周梦溪, 等. 社交网络环境下基于信任的推荐算法[J]. 软件学报, 2017, 28(3): 721-731.
Chen T, Zhu Q, Zhou M X, et al.Trust-Based recommendation algorithm in social network[J]. Journal of Software, 2017, 28(3): 721-731.
[8] 刘英南, 谢瑾奎, 张家利, 等. 社交网络中基于信任的推荐算法[J]. 小型微型计算机系统, 2015, 36(6): 1165-1170.
Liu Y N, Xie J K, Zhang J L, et al.Recommendation algorithm based on trust in social network[J]. Journal of Chinese Computer Systems, 2015, 36(6): 1165-1170.
[9] Wang D, Ma J, Lian T, et al.Recommendation based on weighted social trusts and item relationships[C]// ACM Symposium on Applied Computing. ACM, 2014: 254-259.
[10] 吴迪, 陈必盛, 黄健, 等. 基于社交网络的P2P内容分发算法研究[J]. 系统仿真学报, 2013, 25(12): 2840-2844.
Wu D, Chen B S, Huang J, et al.Exploiting online social networks to accelerate peer-assisted content distribution[J]. Journal of System Simulation, 2013, 25(12): 2840-2844.
[11] Wenjun Jiang, Guojun Wang.SWTrust: Generating Trusted Graph for Trust Evaluation in Online Social Networks[J]. Future Generation Computer Systems (S0167-739X), 2014, 31(1): 320-327.
[12] 刘义春, 梁英宏. 上下文属性感知的电子商务信任模型[J]. 小型微型计算机系统, 2016, 37(8): 1826-1831.
Liu Y C, Liang Y H.Context Factor-aware Trust Model for E-commerce System[J]. Journal of Chinese Computer Systems, 2016, 37(8): 1826-1831.
[13] Su Z, Liu L, Li M, et al.ServiceTrust: Trust Management in Service Provision Networks[C]// IEEE International Conference on Services Computing. IEEE, 2013: 272-279.
[14] Zhang H, Wang Y, Zhang X.The approaches to contextual transaction trust computation in E-commerce environments[J]. Security and Communication Networks (S1939-0114), 2014, 7(9): 1331-1351.
[15] 乔秀全, 杨春, 李晓峰, 等. 社交网络服务中一种基于用户上下文的信任度计算方法[J]. 计算机学报, 2011, 34(12): 2403-2413.
Qiao X Q, Yang C, Li X F, et al.A trust calculating algorithm based on social networking service users’ context[J]. Chinese Journal of Computers, 2011, 34(12): 2403-2413.
[16] 王海艳, 杨文彬, 王随昌, 等. 基于可信联盟的服务推荐方法[J]. 计算机学报, 2014, 37(2): 301-311.
Wang H Y, Yang W B, Wang S C, et al.A Servicer recommendation method based on trustworthy community[J]. Chinese Journal of Computers, 2014, 37(2): 301-311.
[17] 张佩云, 黄波, 谢荣见, 等. 一种基于社会网络信任关系的服务推荐方法[J]. 小型微型计算机系统, 2014, 35(2): 222-227.
Zhang P Y, Huang B, Xie R J, et al.A method for web services recommendation based on social network trust relationship[J]. Journal of Chinese Computer Systems, 2014, 35(2): 222-227.
[18] 刘树栋, 孟祥武. 一种基于移动用户位置的网络服务推荐方法[J]. 软件学报, 2014, 11: 2556-2574.
Liu S D, Meng X W.Approach to network services recommendation based on mobile users’ location[J]. Journal of Software, 2014, 11: 2556-2574.
[19] 王刚, 桂小林. 社会网络中交易节点的选取及其信任关系计算方法[J]. 计算机学报, 2013, 36(2): 368-383.
Wang Gang, Gui Xiaolin.Selecting and trust computing for transaction noses in online social networks[J]. Chinese Journal of Computers, 2013, 36(2): 368-383.

一种基于社交网络的电子商务信任模型与仿真

Trust Model and Simulation of E-commerce Based on Social Networks

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