Analytics & Privacy隐私与访问统计

Privacy-friendly aggregate website analytics for MAC-Lab's public website.MAC-Lab 公开主页采用面向内容优化与影响力观察的匿名聚合访问统计。

What We Measure统计内容

Traffic signals, not personal identities.统计访问趋势，而不是识别个人身份。

The analytics module is designed for aggregate indicators such as page views, popular pages, referring websites, browser or device categories, and approximate country or regional distribution.访问统计模块主要用于聚合指标，例如页面访问量、热门页面、访问来源、浏览器或设备类别，以及大致国家或地区分布。

The public website should not be used to identify individual visitors. If future internal systems require login-based activity records, they should be managed separately with explicit permissions and access control.公开主页不应被用于识别具体访客个人。如果后续实验室内部系统需要基于登录的操作记录，应在独立权限和访问控制下单独管理。

Audience Geography访问地区

Approximate country and region trends.查看大致国家与地区趋势。

Useful for understanding international visibility, admissions interest, and collaboration reach.用于了解国际可见度、招生关注度和合作传播范围。

Content Value内容价值

Which pages visitors actually read.判断哪些页面真正被阅读。

Research, publications, frontiers, notes, media, and recruitment pages can be improved based on real traffic patterns.研究方向、论文成果、前沿雷达、深度札记、媒体报道和招生页面都可以根据真实访问趋势持续优化。

Responsible Growth稳健增长

Measure visibility without overtracking.在不过度追踪的前提下衡量影响力。

The site prioritizes lightweight, privacy-conscious analytics suitable for an academic lab website.网站优先采用轻量、注重隐私的统计方式，更适合学术实验室公开主页。