Web Metrics: Proven Methods for Measuring Web Site Success
Web Metrics: Proven Methods for Measuring Web Site Success
Web document classification and its performance evaluation
EC'08 Proceedings of the 9th WSEAS International Conference on Evolutionary Computing
Web mining technique framework for intelligent e-business applications
ICCOMP'08 Proceedings of the 12th WSEAS international conference on Computers
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The intention of an online visitor, from an online social networking, is to see the most valuable pieces of information. The intention is hidden and can only be partially revealed from implicit indicators in the traces users leave behind while they browse through many social media websites. As a consequence, he either gets the desired information or product, or he gets redirected somewhere else. In general, one part has a concept of the purpose of the visit and the concern of the other part is to resolve this concept as accurately as possible. This paper approaches the question of special Web metrics for the Digital Influence measuring. A survey of the metrics for them is presented in this paper. Also, here we suggest a methodology for researchers in this discourse area.