Social networks seemed poised to take over the Web. This year, Facebook reached 800 million users. LinkedIn went public in a blockbuster stock offering. Twitter produced a billion tweets per week. And Google launched its own social network, Google+, attracting 25 million users in one month.
Amid the continued growth of these social networks, there has been much excitement about how the rest of the Web would soon be infused with all things "social": social search, social commerce, social deals and more. And yet the effort to socialize the rest of the Web has so far failed to live up to its promise. Why?
Facebook's master plan, articulated by founder Mark Zuckerberg, was that once its site had built a map of everyone you've met or known, you would be able to leverage that information across the Web, to see what your "friends" are searching, buying, watching, liking or saying.
Since 2008, Facebook has attempted to roll out this strategy by using "Facebook Connect" to extend its social graph into millions of other websites, and by incorporating new functionality into its own site. Yet many of the most anticipated social integrations so far have failed to take off:
At last week's F8 conference, Facebook unveiled much more ambitious efforts to integrate outside web brands into its site - from a full-fledged Netflix movie player, to a music player drawing on Spotify and several other streaming music services.
But for any of these, or other social integrations to succeed, Facebook and its partners and rivals will need to learn from past mistakes. To date, their vision of how to make the Web more social has been based on a fundamental misunderstanding of our digital behavior.
In order for social networks to truly reshape our experience of the rest of the Web, developers must first understand the relationship between our social graphs and our interest graphs.
A social graph is a digital map that says, "This is who I know." It may reflect people who the user knows in various ways: as family members, work colleagues, peers met at a conference, high school classmates, fellow cycling club members, friend of a friend, etc. Social graphs are mostly created on social networking sites like Facebook and LinkedIn, where users send reciprocal invites to those they know, in order to map out and maintain their social ties.
An interest graph is a digital map that says, "This is what I like." As Twitter's CEO has remarked, if you see that I follow the San Francisco Giants on Twitter, that doesn't tell you if I know the team's players, but it does tell you a lot about my interest in baseball. Interest graphs are generated by the feeds customers follow (e.g. on Twitter), products they buy (e.g. on Amazon), ratings they create (e.g. on Netflix), searches they run (e.g. on Google), or questions they answer about their tastes (e.g. on services like Hunch).
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Next page: The Fallacy of Social Web 1.0
The fundamental stumbling block of the social Web to date is that it has conflated social graphs with interest graphs. But in reality, who you know does not always translate into what you will like.
For example, I have a particular taste in movies. But I do not share that same taste with most of the people whom I have friended on Facebook - a motley mix of high school classmates, work colleagues, PTA committee members, and fellow jazz buffs. Nor do we, as a large and heterogeneous group, all share the same taste in travel, or fashion, or much of anything else. So when Facebook attempts to improve my movie-viewing experience by revealing the tastes of everyone in my entire social graph, the value to me is quite low.
So far, the job of mapping users' social graphs has been taken up by social networking sites like Facebook and LinkedIn. Meanwhile, interest graphs have been best built by e-commerce sites such as Netflix and Amazon that focus on highly customized recommendations.
The future of a truly social Web will rely on getting these two types of graphs to work together. We are just starting to see some interesting attempts at this:
In the near future, we should see new and better solutions to integrating social and interest graphs.
Until this kind of integration is achieved, though, Web services should consider carefully when to utilize the customer's social graph, and when to use their interest graph.
Then the service should pick the graph that adds value to the customer experience. Because the real social Web will be all about the customer.