The Social Network Data & Interest Graph Data will power the next generation of shopping:
One of the impediments to usage of this information is that it is a big data problem (unstructured, high velocity, and high volume).
The combination of Social Network Data and Interest Graph Data will power the next generation of shopping. In fact, based on early results from Graphite Analytics we believe the Brand Interest Graph (B.I.G.) data will provide the first proven benefit around this unstructured information.
The red/pink dots (called nodes) represent people, the green dots represent products, and the lines (called edges) connecting the dots represent either friendships or following between people, or social expressions on products. As you can see from Figure 1, the data is meaningless without social analytics applied. Figure 2 shows a small section of this Interest Graph. The size of the node represents the popularity of that person or product and the graph is arranged in segments to show people with similar social groups and product interests. Social profile data is used to understand the type of people who influence the segment. Figure 2 shows the power of Social Analytics to identify segments, influencers, and key products.