We have seen how Link Analysis works in the World Wide Web setting, but it is equally relevant when looking at other networks. A New York Times article about the New Jersey Transit system and housing developments draws a connection is drawn between transportation hubs and the effect on the real estate markets in those areas.
We know that, once we ask a query on the web, each page is assigned two scores. One is called its hub score and the other its authority score. We can replace web pages with nodes to broaden the theory. A good hub node is one that points to many good authorities; a good authority node is one that is pointed to by many good hub nodes.
This article tells how developers seek to capitalize on this interest in transit hubs, reporting that “real estate sales are consistently strongest in towns along New Jersey’s main commuter corridors.” Home shoppers are the catalysts to this phenomenon and in our terminology could be seen as the hub and the NJ Transit stop could be the authority. Therefore the stop with the highest authority logically will affect the price of the houses in that area.
“Towns along the rail lines with New York City commutes of less than 50 minutes saw real estate values increase by 3.6 percent from 2010 to 2011, as compared with rural New Jersey, the weakest sector, which saw an 8.7 percent drop in home values” according to The latest survey on home prices conducted by the Otteau Valuation Group.