Collection of web behavior relies on self-report and web logs in daily life. The self-report is derived on memory and can seem ambiguous for analyzing web behavior. It is necessary to quantitatively measure these web behaviors to see the changes over time. Individuals tied by the same emotion become a group, and its members synchronize with each other. Therefore, this study is to propose a web behavior model and its collecting and analyzing methods. Additionally, this study is to create a group using the synchronization of behavior patterns and social networking to provide insight into enhanced marketing.

中文翻译：

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社交生活日志中的网络行为分析

网络行为的收集依赖于日常生活中的自我报告和网络日志。自我报告是根据内存得出的，对于分析网络行为来说似乎不明确。有必要对这些网络行为进行定量测量，以查看随时间的变化。被同一情绪束缚的个体成为一个群体，其成员彼此同步。因此，本研究旨在提出一种网络行为模型及其收集和分析方法。此外，本研究将创建一个使用行为模式和社交网络同步的小组，以提供对增强营销的洞察力。