評論
打印
And so fundamentally, rather than, for example, measuring content based on how many people are watching,
從根本上，而不是，比如根據收視率衡量內容
this gives us the basic data for looking at engagement properties of content.
這個給了我們觀察這些內容參與性的最基本的資料
And just like we can look at feedback cycles and dynamics in a family,
就跟我們可以看見家里的反饋循環和互動一樣
we can now open up the same concepts and look at much larger groups of people.
我們現在可以利用同樣的構想來觀察更大的群體
This is a subset of data from our database -- just 50,000 out of several million --
這是我們資料庫里的一個子集，只是幾百萬信息中的5萬條
and the social graph that connects them through publicly available sources.
社交圖是和公開資源來自于對大眾公開的來源
And if you put them on one plain, a second plain is where the content lives.
如果你把它們放到平面上，第二個平面是內容活躍的地方
So we have the programs and the sporting events and the commercials,
于是我們有了節目，體育活動，廣告
and all of the link structures that tie them together make a content graph.
所有的鏈接結構將它們連在一起，形成了內容圖表
And then the important third dimension.
然后是重要的第三個面向
Each of the links that you're seeing rendered here
大家在這里看到的每個連接
is an actual connection made between something someone said and a piece of content.
是一段內容和有些人評論間構成的真實聯系
And there are, again, now tens of millions of these links
這里的幾千萬條鏈
that give us the connective tissue of social graphs and how they relate to content.
讓我們看見了社交圖表中的關聯組織，和它們跟內容的關系
And we can now start to probe the structure in interesting ways.
于是我們可以用有趣的辦法來探索這個結構
So if we, for example, trace the path of one piece of content that drives someone to comment on it,
所以，比如，我們跟蹤某個內容的發展途經，這促使有人對此發表評論
and then we follow where that comment goes, and then look at the entire social graph that becomes activated
然后我們跟蹤這些評論的去向，然后觀察整個活躍的社交圖
and then trace back to see the relationship between that social graph and content,
然后又回頭追蹤查看那個社交圖和內容之間的關系
a very interesting structure becomes visible.
于是顯現出一個非常有趣的結構
