Today, e-commerce has occupied a large volume of economic exchanges. It is known as one of the most effective business practices. Predicted trust which means trusting an anonymous user is important in online communities. In this paper, the trust was predicted by combining two methods of multiplex network and community detection. In modeling the network in terms of a multiplex network, the relat...

Over the past few decades as purchasing options moved online, the widespread use and popularity of online review sites has simultaneously increased. In spite of the fact that a huge extent of buying choices today are driven by numeric scores (e.g., rating a product), detailed reviews play an important role for activities like purchasing an expensive DSLR camera. Since writing a detailed review ...

Development and usage of online social networking web sites are growing rapidly. Millions members of these web sites publicly articulate mutual "friendship" relations and share user-created contents, such as photos, videos, files, and blogs. The advances in web designing technology and fast growing usage of online resources prompted web designers to improve features and architectures of social ...

User-generated reviews are now plentiful online and they have proven to be a valuable source of real user opinions and real user experiences. In this chapter we consider recent work that seeks to extract topics, opinions, and sentiment from review text that is unstructured and often noisy.We describe and evaluate a number of practical case-studies for how such information can be used in an info...

Modern charging systems use user, network, and service related information when performing online charging. Compared, however, to the overall information available and used in network management processes as a whole, charging systems only use a limited subset. This work is motivated by the challenge to identify which information is used, and how it is used in online charging related processes, ...

Online reviews are a dominant resource for consumer decisions but what leads users to write reviews remains largely unexamined. Extant research on user content generation has primarily focused on what motivates users to contribute content, and less on the effects of informational and social environment surrounding these users. The aim of this study is to examine how a user’s contribution to an ...