Middle East User Navigation in Online Social Networks and Interactions in E-Commerce, an Analogy

User navigation Understanding gives both the researchers and firms the opportunity to design better interfaces, gain more active users and richer studies of online social interactions.This study is based on the clickstream data, collected over 15 days period, summarizing HTTP session of over 25000 validrequests of Middle east users from popular social networks like Facebook, Instagram, twitter, and LinkedIn. The data were gathered from a social network aggregator website, which enables users to connect their profile of multiple social networks into one site. This analysis retrieves the key factors ofthe social network workloads in Middle East countries, for example, how frequently people connect to social networksand for how long they stay connected, and what type of activity they do and from which sequences of activity they often use the OSN services. Additionally this process is studied from geographic perspective and the results discussed on a distance basis probability.

Keywords:

Online Social Networks , User Behavior , Session , Clickstream , Social Network Aggregator