Measuring user influence in a co-reviewer network

Identifying influential people in social networks is considered an important task in marketing. These people can be employed by merchants to share reviews for their products in order to ensure that a product is exposed to a large number of people at a very low price. This technique is one of the viral marketing techniques. In this paper, we use a co-purchase network to identify influential users by considering both centrality measures as well as users' reviewing records such as the number of reviews shared, the number of votes, etc. Thus, by relying on these two considerations, we are able to extract influential users as well as identifying and determining their characteristics and how they differ from regular users. Also, we are able to conclude that most influential measures do not correlate. As a result, choosing the right measure is critical.