The emergence of social media provides a new platform for developing brand–consumer
relationships. The aim of the current study is to examine the differences in Chinese users' …

Social network analytics methods are being used in the telecommunication industry to
predict customer churn with great success. In particular it has been shown that relational …

Today, increased attention is drawn towards network representation learning, a technique
that maps nodes of a network into vectors of a low-dimensional embedding space. A …

Understanding and forecasting the health of an online community is of great value to its
owners and managers who have vested interests in its longevity and success. Nevertheless …

Applying social network analytics for telco churn prediction has become indispensable for
almost a decade. However, in the current literature, the uptake does not reflect in a …

Today's Web is social and largely driven by a wide variety of online communities. Many such
communities are owned and managed by businesses that draw much value from these …

Online communities provide a useful environment for web users to communicate and
interact with other users by sharing their thoughts, ideas and opinions, and for resolving …

Role analysis helps us characterize users' interactions in a social network. However,
previously proposed methods are mainly based on structural analysis of social networks …

Role analysis plays an important role when exploring social media and knowledge‐sharing
platforms for designing marking strategies. However, current methods in role analysis have …

Most of the recent studies on churn prediction in telco utilize social networks built on top of
the call (and/or SMS) graphs to derive informative features. However, extracting features …