Social networking sites are platforms that facilitate large‐scale information sharing activities in recent years. Many organizations analyze social networking traffic to gain market insights in order to observe the latest market trends. These analyses also allow organizations to identify key promoters who have strong influences on these social networking platforms to promote their products or services. It is hypothesized that social trust plays an important role in influential propagation, and it is able to increase the rate of success in influencing other social nodes in a social network. This research performs large‐scale experimental simulation to study the influential outcome with and without the presence of social trust in the social nodes.
Part of the book: Recent Progress in Parallel and Distributed Computing