在社交网络中综合的信任评估模型

doi:10.3969/j.issn.1000-436x.2014.12.016

摘要/Abstract

摘要：

提出了由交互经验计算用户态度，以及利用交互时间序列计算用户行为模式变化的方法。进而利用态度、交互经验、行为模式3种信息综合建立新的信任评估模型。实验证明该模型能够适应社交网络的动态性及复杂性，并可有效量化3种信息对信任的影响，从而提高社交网络中直接信任评估模型的可用性与准确性。

关键词: 社交网络, 信任评估, 行为模式, 交互经验

Abstract:

A method was proposed to evaluate the user's attitude from the interaction experience and deduce the user's behavior pattern by employing the interactive time series.Further,a new trust evaluation model was constructed by con-sidering the following features:the user's attitude,the interaction experience and the behavior pattern.The experiment results show that the presented model can be adapted to dynamic and complex social networks,and can efficiently quan-tify the influence on the trust of three kinds of information,and enhance the availability and accuracy of direct trust evaluation model in social networks.

Key words: social networks, rust evaluate, behavior pattern, interaction experience

孟宪佳,马建峰,卢笛,王一川. 在社交网络中综合的信任评估模型[J]. 通信学报, 2014, 35(12): 136-143.

Xian-jia MENG,Jian-feng MA,Di LU,Yi-chuan WANG. Comprehensive trust evaluation model in social networks[J]. Journal on Communications, 2014, 35(12): 136-143.

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参考文献 19

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态度	初始值a
绝对积极	0.8
积极	0.6
中立	0.4
消极	0.2
绝对消极	0

用户组	Adali	Josang	本方案
Alice-Bob	0.09	0.12	0.11
Alice-Jack	0.13	0.11	0.14
Alice-John	0.12	0.13	0.09
John-Jack	0.14	0.12	0.13
Jack-Bob	0.13	0.10	0.08
平均误差	0.122	0.116	0.11