Title :
Observation of network structure in Amazon.com
Author :
Yoneyama, Teruhiko ; Krishnamoothy, Mukkai S.
Author_Institution :
Multidiscipl. Sci., Rensselaer Polytech. Inst., Troy, NY
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.
Keywords :
Internet; graph theory; retailing; Amazon.com; Internet; complex networks; network structure observation; Algorithm design and analysis; Books; Computer science; Distributed computing; Graph theory; IP networks; Joining processes; Marketing and sales; Power cables; Power systems; Complex Network; Component; Distance; Graph Theory; Network Structure; Small World Principle;
Conference_Titel :
Intelligence and Security Informatics, 2009. ISI '09. IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4171-6
Electronic_ISBN :
978-1-4244-4173-0
DOI :
10.1109/ISI.2009.5137264
