Ranking algorithms based on link structure of the network are well-known methods in web search engines to improve the quality of the searches. The most famous ones are PageRank and HITS. PageRank uses probability of a random surfer to visit a page as the score of that page, and HITS instead of produces one score, proposes using two scores, authority and hub scores. In this paper, we introduce a new link structure ranking algorithm for trading network based on the differences between trading network and WWW network in the links addition process, a process that known to be the foundation of PageRank and HITS formulation. In the last section, we describe the using of proposed algorithm as a tool for network clustering in addition to its original function as a ranking method.
['Andri Mirzal']
Link Structure Ranking Algorithm for Trading Networks