Observation of network structure in amazon.com

  • Authors:
  • Teruhiko Yoneyama;Mukkai S. Krishnamoothy

  • Affiliations:
  • Multidisciplinary Science, Rensselaer Polytechnic Institute, Troy, New York;Computer Science, Rensselaer Polytechnic Institute, Troy, New York

  • Venue:
  • ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
  • Year:
  • 2009

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Abstract

Amazon.com is among the largest bookstores on the internet. It provides the sales rank of each book. Our hypothesis is as follows: if a book has low sales rank (i.e., it is well-sold), the related book also has a low sales rank. In the small world principle, if a network is connected, any two nodes are connected with relatively small number of links. If this hypothesis is true, any book can link to a bestseller book with small number of distance by linking some related books. In this paper, we design an algorithm to ascertain our hypothesis, and analyze the network structure of Amazon.com.