摘要
提出了大学生网络行为方式特征向量空间及网络行为方式特征向量模型,基于此模型给出了大学生网络行为方式的模糊向量表示方法以及描述大学生网络行为方式模糊向量空间的生成方法,并采用模糊聚类方法来分析大学生网络行为.依据大学生在网络中表现出的不同行为特征对他们进行模糊分类,针对分类后得到的每个大学生行为方式类别提出了相应的建议与对策,从而引导大学生合理运用网络资源促进学习,进行积极的网络交往,树立健康的网络生活方式.
The definition of feature vector space for students＇ network behavior and its eigenvectors model were presented. Based on the definition, fuzzy vector methods for describing college students＇ network behavior were proposed and the approach for generating the fuzzy vector space of college students＇ network behavior were provided. Fuzzy clustering approach was used in analysis and with this method,college students were partitioned into fuzzy categories according to their network behaviors. For different categories, advices and strategies were proposed to help college students to use the Internet efficiently, to improve their positive social communication and to establish a healthy network lifestyle.
出处
《上海理工大学学报》
CAS
北大核心
2013年第2期107-112,共6页
Journal of University of Shanghai For Science and Technology
关键词
大学生
网络行为方式
模糊聚类
向量空间
college student
network behavior
fuzzy clustering
vector space
