| 基于关系强度的社交网络垃圾行为检测算法的研究 |
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| 引用本文： | 申华,汪若蓝,蒋廷鹏.基于关系强度的社交网络垃圾行为检测算法的研究[J].鞍山师范学院学报,2015(2):55-58. |
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| 作者姓名： | 申华 汪若蓝 蒋廷鹏 |
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| 作者单位： | 鞍山师范学院数学与信息科学学院;大连理工大学软件学院 |
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| 摘 要： | 利用社交网络进行垃圾信息的传播行为已成为日益严重的社会问题。这些垃圾行为不仅威胁到社交用户的个人信息安全，甚至在一定程度上影响着社会稳定。本文分析了社交网络中的垃圾行为，提出了一种计算关系强度的模型及基于关系强度的非信任分数的传播算法。实验结果表明，该算法可以有效地检测社交网络的垃圾行为。
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| 关 键 词： | 社交网络 关系强度 排名算法 |
The study of social spam detection based on relation strength |
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| SHEN Hua;WANG Ruolan;JIANG Tingpeng.The study of social spam detection based on relation strength[J].Journal of Anshan Teachers College,2015(2):55-58. |
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| Authors: | SHEN Hua;WANG Ruolan;JIANG Tingpeng |
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| Institution: | SHEN Hua;WANG Ruolan;JIANG Tingpeng;School of Mathematics and Information Science,Anshan Normal University;School of Software,Dalian University of Technology; |
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| Abstract: | Social spam has become a growing problem on social networks .These spam not only seriously threat social users’ privacy,but also affect social stability to some extent .To tackle this issue,this paper first analyzes social spam and then proposes a new model of relationship strength .Finally , we propose a ranking algorithm with relationship strength to detect spam behavior .Experimental results show that the proposed algorithm can effectively detect social spam and it is significant . |
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| Keywords: | social networks relationship strength ranking algorithm |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
