| 社交网络用户认知域特征预测研究综述 |
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| 引用本文： | 郑敬华,郭世泽,高梁,钟晓峰.社交网络用户认知域特征预测研究综述[J].计算机科学,2018,45(3):16-22. |
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| 作者姓名： | 郑敬华 郭世泽 高梁 钟晓峰 |
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| 作者单位： | 电子工程学院 合肥230037,北方电子设备研究所 北京100083,北方电子设备研究所 北京100083,电子工程学院 合肥230037 |
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| 基金项目： | 本文受省部级重大项目(AWS13J003)资助 |
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| 摘 要： | 网络空间认知域安全是网络空间安全的重中之重,而认知域特征预测是研究网络空间认知域安全的基础。首先,明确了社交网络用户个体认知域特征预测在网络空间认知域安全中的地位；接着,从预测流程、特征选取和模型建立3个方面综述了国内外在社交网络用户认知域特征预测方面的研究,并针对国内典型社交网络用户样本特征,指出了研究中存在的问题,进而提出一些可能的研究思路和方法；最后,总结了该领域当前面临的挑战与存在的不足,以及有待重点研究的相关问题。
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| 关 键 词： | 社交网络 认知域特征 预测 网络空间安全 |
| 收稿时间： | 2016/12/17 0:00:00 |
| 修稿时间： | 2017/5/19 0:00:00 |
Survey on Cognitive Domain Feature Prediction of Social Network Users |
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| ZHENG Jing-hu,GUO Shi-ze,GAO Liang and ZHONG Xiao-feng.Survey on Cognitive Domain Feature Prediction of Social Network Users[J].Computer Science,2018,45(3):16-22. |
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| Authors: | ZHENG Jing-hu GUO Shi-ze GAO Liang and ZHONG Xiao-feng |
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| Affiliation: | Electronic Engineering Institute,Hefei 230037,China,Institute of North Electronic Equipment,Beijing 100083,China,Institute of North Electronic Equipment,Beijing 100083,China and Electronic Engineering Institute,Hefei 230037,China |
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| Abstract: | Cognitive domain security is of primary importance in cyber space security,and cognitive domain characteristic prediction is the basis of researching on cognitive domain security.This paper showed a kind of cyber space cognitive domain safety model.Then,this paper is clear that cognitive domain characteristic prediction of social network users has a vital role in cyber space cognitive domain security.It summarized home and abroad researches about the prediction of social network users from three aspects:prediction process,characteristics choosing and model building.Aiming at characteristics of domestic typical social network users samples,this paper pointed out the problems existing in researches,and showed some possible thoughts and methods.At last,this paper summed up current challenges and shortages in this field including some related problems to be solved as stress. |
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| Keywords: | Social network Cognitive domain feature Prediction Cyberspace security |
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